Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT

Volume 15, 2022

Volumes and issues
Volumes and issues

Volume 15, 2022

03 Jan 2022
Wind speed and direction estimation from wave spectra using deep learning
Haoyu Jiang
Atmos. Meas. Tech., 15, 1–9, https://doi.org/10.5194/amt-15-1-2022,https://doi.org/10.5194/amt-15-1-2022, 2022
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03 Jan 2022
A study on the fragmentation of sulfuric acid and dimethylamine clusters inside an atmospheric pressure interface time-of-flight mass spectrometer
Dina Alfaouri, Monica Passananti, Tommaso Zanca, Lauri Ahonen, Juha Kangasluoma, Jakub Kubečka, Nanna Myllys, and Hanna Vehkamäki
Atmos. Meas. Tech., 15, 11–19, https://doi.org/10.5194/amt-15-11-2022,https://doi.org/10.5194/amt-15-11-2022, 2022
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03 Jan 2022
Towards operational multi-GNSS tropospheric products at GFZ Potsdam
Karina Wilgan, Galina Dick, Florian Zus, and Jens Wickert
Atmos. Meas. Tech., 15, 21–39, https://doi.org/10.5194/amt-15-21-2022,https://doi.org/10.5194/amt-15-21-2022, 2022
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04 Jan 2022
Dealing with spatial heterogeneity in pointwise-to-gridded- data comparisons
Amir H. Souri, Kelly Chance, Kang Sun, Xiong Liu, and Matthew S. Johnson
Atmos. Meas. Tech., 15, 41–59, https://doi.org/10.5194/amt-15-41-2022,https://doi.org/10.5194/amt-15-41-2022, 2022
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05 Jan 2022
Biomass burning aerosol heating rates from the ORACLES (ObseRvations of Aerosols above CLouds and their intEractionS) 2016 and 2017 experiments
Sabrina P. Cochrane, K. Sebastian Schmidt, Hong Chen, Peter Pilewskie, Scott Kittelman, Jens Redemann, Samuel LeBlanc, Kristina Pistone, Michal Segal Rozenhaimer, Meloë Kacenelenbogen, Yohei Shinozuka, Connor Flynn, Rich Ferrare, Sharon Burton, Chris Hostetler, Marc Mallet, and Paquita Zuidema
Atmos. Meas. Tech., 15, 61–77, https://doi.org/10.5194/amt-15-61-2022,https://doi.org/10.5194/amt-15-61-2022, 2022
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05 Jan 2022
Design and characterization of a semi-open dynamic chamber for measuring biogenic volatile organic compound (BVOC) emissions from plants
Jianqiang Zeng, Yanli Zhang, Huina Zhang, Wei Song, Zhenfeng Wu, and Xinming Wang
Atmos. Meas. Tech., 15, 79–93, https://doi.org/10.5194/amt-15-79-2022,https://doi.org/10.5194/amt-15-79-2022, 2022
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05 Jan 2022
Air temperature equation derived from sonic temperature and water vapor mixing ratio for turbulent airflow sampled through closed-path eddy-covariance flux systems
Xinhua Zhou, Tian Gao, Eugene S. Takle, Xiaojie Zhen, Andrew E. Suyker, Tala Awada, Jane Okalebo, and Jiaojun Zhu
Atmos. Meas. Tech., 15, 95–115, https://doi.org/10.5194/amt-15-95-2022,https://doi.org/10.5194/amt-15-95-2022, 2022
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05 Jan 2022
New sampling strategy mitigates a solar-geometry-induced bias in sub-kilometre vapour scaling statistics derived from imaging spectroscopy
Mark T. Richardson, David R. Thompson, Marcin J. Kurowski, and Matthew D. Lebsock
Atmos. Meas. Tech., 15, 117–129, https://doi.org/10.5194/amt-15-117-2022,https://doi.org/10.5194/amt-15-117-2022, 2022
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05 Jan 2022
Inter-comparison of wind measurements in the atmospheric boundary layer and the lower troposphere with Aeolus and a ground-based coherent Doppler lidar network over China
Songhua Wu, Kangwen Sun, Guangyao Dai, Xiaoye Wang, Xiaoying Liu, Bingyi Liu, Xiaoquan Song, Oliver Reitebuch, Rongzhong Li, Jiaping Yin, and Xitao Wang
Atmos. Meas. Tech., 15, 131–148, https://doi.org/10.5194/amt-15-131-2022,https://doi.org/10.5194/amt-15-131-2022, 2022
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06 Jan 2022
A Bayesian parametric approach to the retrieval of the atmospheric number size distribution from lidar data
Alberto Sorrentino, Alessia Sannino, Nicola Spinelli, Michele Piana, Antonella Boselli, Valentino Tontodonato, Pasquale Castellano, and Xuan Wang
Atmos. Meas. Tech., 15, 149–164, https://doi.org/10.5194/amt-15-149-2022,https://doi.org/10.5194/amt-15-149-2022, 2022
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11 Jan 2022
On the quality of RS41 radiosonde descent data
Bruce Ingleby, Martin Motl, Graeme Marlton, David Edwards, Michael Sommer, Christoph von Rohden, Holger Vömel, and Hannu Jauhiainen
Atmos. Meas. Tech., 15, 165–183, https://doi.org/10.5194/amt-15-165-2022,https://doi.org/10.5194/amt-15-165-2022, 2022
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11 Jan 2022
Optimization of Aeolus' aerosol optical properties by maximum-likelihood estimation
Frithjof Ehlers, Thomas Flament, Alain Dabas, Dimitri Trapon, Adrien Lacour, Holger Baars, and Anne Grete Straume-Lindner
Atmos. Meas. Tech., 15, 185–203, https://doi.org/10.5194/amt-15-185-2022,https://doi.org/10.5194/amt-15-185-2022, 2022
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17 Jan 2022
Validation and error estimation of AIRS MUSES CO profiles with HIPPO, ATom, and NOAA GML aircraft observations
Jennifer D. Hegarty, Karen E. Cady-Pereira, Vivienne H. Payne, Susan S. Kulawik, John R. Worden, Valentin Kantchev, Helen M. Worden, Kathryn McKain, Jasna V. Pittman, Róisín Commane, Bruce C. Daube Jr., and Eric A. Kort
Atmos. Meas. Tech., 15, 205–223, https://doi.org/10.5194/amt-15-205-2022,https://doi.org/10.5194/amt-15-205-2022, 2022
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18 Jan 2022
Estimating oil sands emissions using horizontal path-integrated column measurements
Timothy G. Pernini, T. Scott Zaccheo, Jeremy Dobler, and Nathan Blume
Atmos. Meas. Tech., 15, 225–240, https://doi.org/10.5194/amt-15-225-2022,https://doi.org/10.5194/amt-15-225-2022, 2022
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19 Jan 2022
Measurement of black carbon emissions from multiple engine and source types using laser-induced incandescence: sensitivity to laser fluence
Ruoyang Yuan, Prem Lobo, Greg J. Smallwood, Mark P. Johnson, Matthew C. Parker, Daniel Butcher, and Adrian Spencer
Atmos. Meas. Tech., 15, 241–259, https://doi.org/10.5194/amt-15-241-2022,https://doi.org/10.5194/amt-15-241-2022, 2022
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19 Jan 2022
Improvement in algorithms for quality control of weather radar data (RADVOL-QC system)
Katarzyna Ośródka and Jan Szturc
Atmos. Meas. Tech., 15, 261–277, https://doi.org/10.5194/amt-15-261-2022,https://doi.org/10.5194/amt-15-261-2022, 2022
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20 Jan 2022
Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network
Heike Kalesse-Los, Willi Schimmel, Edward Luke, and Patric Seifert
Atmos. Meas. Tech., 15, 279–295, https://doi.org/10.5194/amt-15-279-2022,https://doi.org/10.5194/amt-15-279-2022, 2022
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20 Jan 2022
Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method
Tobias Küchler, Stefan Noël, Heinrich Bovensmann, John Philip Burrows, Thomas Wagner, Christian Borger, Tobias Borsdorff, and Andreas Schneider
Atmos. Meas. Tech., 15, 297–320, https://doi.org/10.5194/amt-15-297-2022,https://doi.org/10.5194/amt-15-297-2022, 2022
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21 Jan 2022
Evaluating uncertainty in sensor networks for urban air pollution insights
Daniel R. Peters, Olalekan A. M. Popoola, Roderic L. Jones, Nicholas A. Martin, Jim Mills, Elizabeth R. Fonseca, Amy Stidworthy, Ella Forsyth, David Carruthers, Megan Dupuy-Todd, Felicia Douglas, Katie Moore, Rishabh U. Shah, Lauren E. Padilla, and Ramón A. Alvarez
Atmos. Meas. Tech., 15, 321–334, https://doi.org/10.5194/amt-15-321-2022,https://doi.org/10.5194/amt-15-321-2022, 2022
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21 Jan 2022
Use of large-eddy simulations to design an adaptive sampling strategy to assess cumulus cloud heterogeneities by remotely piloted aircraft
Nicolas Maury, Gregory C. Roberts, Fleur Couvreux, Titouan Verdu, Pierre Narvor, Najda Villefranque, Simon Lacroix, and Gautier Hattenberger
Atmos. Meas. Tech., 15, 335–352, https://doi.org/10.5194/amt-15-335-2022,https://doi.org/10.5194/amt-15-335-2022, 2022
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24 Jan 2022
Moderate spectral resolution solar irradiance measurements, aerosol optical depth, and solar transmission, from 360 to 1070 nm, using the refurbished rotating shadow band spectroradiometer (RSS)
Joseph J. Michalsky and Peter W. Kiedron
Atmos. Meas. Tech., 15, 353–364, https://doi.org/10.5194/amt-15-353-2022,https://doi.org/10.5194/amt-15-353-2022, 2022
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24 Jan 2022
Using artificial neural networks to predict riming from Doppler cloud radar observations
Teresa Vogl, Maximilian Maahn, Stefan Kneifel, Willi Schimmel, Dmitri Moisseev, and Heike Kalesse-Los
Atmos. Meas. Tech., 15, 365–381, https://doi.org/10.5194/amt-15-365-2022,https://doi.org/10.5194/amt-15-365-2022, 2022
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27 Jan 2022
Laboratory characterisation of the radiation temperature error of radiosondes and its application to the GRUAN data processing for the Vaisala RS41
Christoph von Rohden, Michael Sommer, Tatjana Naebert, Vasyl Motuz, and Ruud J. Dirksen
Atmos. Meas. Tech., 15, 383–405, https://doi.org/10.5194/amt-15-383-2022,https://doi.org/10.5194/amt-15-383-2022, 2022
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27 Jan 2022
Retrieval of aerosol properties using relative radiance measurements from an all-sky camera
Roberto Román, Juan C. Antuña-Sánchez, Victoria E. Cachorro, Carlos Toledano, Benjamín Torres, David Mateos, David Fuertes, César López, Ramiro González, Tatyana Lapionok, Marcos Herreras-Giralda, Oleg Dubovik, and Ángel M. de Frutos
Atmos. Meas. Tech., 15, 407–433, https://doi.org/10.5194/amt-15-407-2022,https://doi.org/10.5194/amt-15-407-2022, 2022
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27 Jan 2022
Ash particle refractive index model for simulating the brightness temperature spectrum of volcanic ash clouds from satellite infrared sounder measurements
Hiroshi Ishimoto, Masahiro Hayashi, and Yuzo Mano
Atmos. Meas. Tech., 15, 435–458, https://doi.org/10.5194/amt-15-435-2022,https://doi.org/10.5194/amt-15-435-2022, 2022
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27 Jan 2022
A systematic re-evaluation of methods for quantification of bulk particle-phase organic nitrates using real-time aerosol mass spectrometry
Douglas A. Day, Pedro Campuzano-Jost, Benjamin A. Nault, Brett B. Palm, Weiwei Hu, Hongyu Guo, Paul J. Wooldridge, Ronald C. Cohen, Kenneth S. Docherty, J. Alex Huffman, Suzane S. de Sá, Scot T. Martin, and Jose L. Jimenez
Atmos. Meas. Tech., 15, 459–483, https://doi.org/10.5194/amt-15-459-2022,https://doi.org/10.5194/amt-15-459-2022, 2022
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27 Jan 2022
Rainfall retrieval algorithm for commercial microwave links: stochastic calibration
Wagner Wolff, Aart Overeem, Hidde Leijnse, and Remko Uijlenhoet
Atmos. Meas. Tech., 15, 485–502, https://doi.org/10.5194/amt-15-485-2022,https://doi.org/10.5194/amt-15-485-2022, 2022
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31 Jan 2022
Calibration of radar differential reflectivity using quasi-vertical profiles
Daniel Sanchez-Rivas and Miguel A. Rico-Ramirez
Atmos. Meas. Tech., 15, 503–520, https://doi.org/10.5194/amt-15-503-2022,https://doi.org/10.5194/amt-15-503-2022, 2022
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31 Jan 2022
Improving thermodynamic profile retrievals from microwave radiometers by including radio acoustic sounding system (RASS) observations
Irina V. Djalalova, David D. Turner, Laura Bianco, James M. Wilczak, James Duncan, Bianca Adler, and Daniel Gottas
Atmos. Meas. Tech., 15, 521–537, https://doi.org/10.5194/amt-15-521-2022,https://doi.org/10.5194/amt-15-521-2022, 2022
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31 Jan 2022
Characterisation of the Manchester Aerosol Chamber facility
Yunqi Shao, Yu Wang, Mao Du, Aristeidis Voliotis, M. Rami Alfarra, Simon P. O'Meara, S. Fiona Turner, and Gordon McFiggans
Atmos. Meas. Tech., 15, 539–559, https://doi.org/10.5194/amt-15-539-2022,https://doi.org/10.5194/amt-15-539-2022, 2022
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01 Feb 2022
Comparing black-carbon- and aerosol-absorption-measuring instruments – a new system using lab-generated soot coated with controlled amounts of secondary organic matter
Daniel M. Kalbermatter, Griša Močnik, Luka Drinovec, Bradley Visser, Jannis Röhrbein, Matthias Oscity, Ernest Weingartner, Antti-Pekka Hyvärinen, and Konstantina Vasilatou
Atmos. Meas. Tech., 15, 561–572, https://doi.org/10.5194/amt-15-561-2022,https://doi.org/10.5194/amt-15-561-2022, 2022
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03 Feb 2022
The FORUM end-to-end simulator project: architecture and results
Luca Sgheri, Claudio Belotti, Maya Ben-Yami, Giovanni Bianchini, Bernardo Carnicero Dominguez, Ugo Cortesi, William Cossich, Samuele Del Bianco, Gianluca Di Natale, Tomás Guardabrazo, Dulce Lajas, Tiziano Maestri, Davide Magurno, Hilke Oetjen, Piera Raspollini, and Cristina Sgattoni
Atmos. Meas. Tech., 15, 573–604, https://doi.org/10.5194/amt-15-573-2022,https://doi.org/10.5194/amt-15-573-2022, 2022
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04 Feb 2022
Differential absorption lidar measurements of water vapor by the High Altitude Lidar Observatory (HALO): retrieval framework and first results
Brian J. Carroll, Amin R. Nehrir, Susan A. Kooi, James E. Collins, Rory A. Barton-Grimley, Anthony Notari, David B. Harper, and Joseph Lee
Atmos. Meas. Tech., 15, 605–626, https://doi.org/10.5194/amt-15-605-2022,https://doi.org/10.5194/amt-15-605-2022, 2022
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08 Feb 2022
A source for the continuous generation of pure and quantifiable HONO mixtures
Guillermo Villena and Jörg Kleffmann
Atmos. Meas. Tech., 15, 627–637, https://doi.org/10.5194/amt-15-627-2022,https://doi.org/10.5194/amt-15-627-2022, 2022
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08 Feb 2022
Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements
Goutam Choudhury and Matthias Tesche
Atmos. Meas. Tech., 15, 639–654, https://doi.org/10.5194/amt-15-639-2022,https://doi.org/10.5194/amt-15-639-2022, 2022
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09 Feb 2022
| Highlight paper
Evaluating the PurpleAir monitor as an aerosol light scattering instrument
James R. Ouimette, William C. Malm, Bret A. Schichtel, Patrick J. Sheridan, Elisabeth Andrews, John A. Ogren, and W. Patrick Arnott
Atmos. Meas. Tech., 15, 655–676, https://doi.org/10.5194/amt-15-655-2022,https://doi.org/10.5194/amt-15-655-2022, 2022
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09 Feb 2022
Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems
Simon Pfreundschuh, Stuart Fox, Patrick Eriksson, David Duncan, Stefan A. Buehler, Manfred Brath, Richard Cotton, and Florian Ewald
Atmos. Meas. Tech., 15, 677–699, https://doi.org/10.5194/amt-15-677-2022,https://doi.org/10.5194/amt-15-677-2022, 2022
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09 Feb 2022
Analysis of improvements in MOPITT observational coverage over Canada
Heba S. Marey, James R. Drummond, Dylan B. A. Jones, Helen Worden, Merritt N. Deeter, John Gille, and Debbie Mao
Atmos. Meas. Tech., 15, 701–719, https://doi.org/10.5194/amt-15-701-2022,https://doi.org/10.5194/amt-15-701-2022, 2022
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09 Feb 2022
Automated detection of atmospheric NO2 plumes from satellite data: a tool to help infer anthropogenic combustion emissions
Douglas P. Finch, Paul I. Palmer, and Tianran Zhang
Atmos. Meas. Tech., 15, 721–733, https://doi.org/10.5194/amt-15-721-2022,https://doi.org/10.5194/amt-15-721-2022, 2022
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09 Feb 2022
A high-resolution monitoring approach of canopy urban heat island using a random forest model and multi-platform observations
Shihan Chen, Yuanjian Yang, Fei Deng, Yanhao Zhang, Duanyang Liu, Chao Liu, and Zhiqiu Gao
Atmos. Meas. Tech., 15, 735–756, https://doi.org/10.5194/amt-15-735-2022,https://doi.org/10.5194/amt-15-735-2022, 2022
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10 Feb 2022
Estimating vertical wind power density using tower observation and empirical models over varied desert steppe terrain in northern China
Shaohui Zhou, Yuanjian Yang, Zhiqiu Gao, Xingya Xi, Zexia Duan, and Yubin Li
Atmos. Meas. Tech., 15, 757–773, https://doi.org/10.5194/amt-15-757-2022,https://doi.org/10.5194/amt-15-757-2022, 2022
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10 Feb 2022
Coincident in situ and triple-frequency radar airborne observations in the Arctic
Cuong M. Nguyen, Mengistu Wolde, Alessandro Battaglia, Leonid Nichman, Natalia Bliankinshtein, Samuel Haimov, Kenny Bala, and Dirk Schuettemeyer
Atmos. Meas. Tech., 15, 775–795, https://doi.org/10.5194/amt-15-775-2022,https://doi.org/10.5194/amt-15-775-2022, 2022
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14 Feb 2022
Applying self-supervised learning for semantic cloud segmentation of all-sky images
Yann Fabel, Bijan Nouri, Stefan Wilbert, Niklas Blum, Rudolph Triebel, Marcel Hasenbalg, Pascal Kuhn, Luis F. Zarzalejo, and Robert Pitz-Paal
Atmos. Meas. Tech., 15, 797–809, https://doi.org/10.5194/amt-15-797-2022,https://doi.org/10.5194/amt-15-797-2022, 2022
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15 Feb 2022
Characterizing and correcting the warm bias observed in Aircraft Meteorological Data Relay (AMDAR) temperature observations
Siebren de Haan, Paul M. A. de Jong, and Jitze van der Meulen
Atmos. Meas. Tech., 15, 811–818, https://doi.org/10.5194/amt-15-811-2022,https://doi.org/10.5194/amt-15-811-2022, 2022
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16 Feb 2022
Silicone tube humidity generator
Robert F. Berg, Nicola Chiodo, and Eric Georgin
Atmos. Meas. Tech., 15, 819–832, https://doi.org/10.5194/amt-15-819-2022,https://doi.org/10.5194/amt-15-819-2022, 2022
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17 Feb 2022
A new method to quantify particulate sodium and potassium salts (nitrate, chloride, and sulfate) by thermal desorption aerosol mass spectrometry
Yuya Kobayashi and Nobuyuki Takegawa
Atmos. Meas. Tech., 15, 833–844, https://doi.org/10.5194/amt-15-833-2022,https://doi.org/10.5194/amt-15-833-2022, 2022
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18 Feb 2022
Retrieval of UV–visible aerosol absorption using AERONET and OMI–MODIS synergy: spatial and temporal variability across major aerosol environments
Vinay Kayetha, Omar Torres, and Hiren Jethva
Atmos. Meas. Tech., 15, 845–877, https://doi.org/10.5194/amt-15-845-2022,https://doi.org/10.5194/amt-15-845-2022, 2022
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21 Feb 2022
Cloud-probability-based estimation of black-sky surface albedo from AVHRR data
Terhikki Manninen, Emmihenna Jääskeläinen, Niilo Siljamo, Aku Riihelä, and Karl-Göran Karlsson
Atmos. Meas. Tech., 15, 879–893, https://doi.org/10.5194/amt-15-879-2022,https://doi.org/10.5194/amt-15-879-2022, 2022
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21 Feb 2022
Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product
Antti Lipponen, Jaakko Reinvall, Arttu Väisänen, Henri Taskinen, Timo Lähivaara, Larisa Sogacheva, Pekka Kolmonen, Kari Lehtinen, Antti Arola, and Ville Kolehmainen
Atmos. Meas. Tech., 15, 895–914, https://doi.org/10.5194/amt-15-895-2022,https://doi.org/10.5194/amt-15-895-2022, 2022
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21 Feb 2022
Three-way calibration checks using ground-based, ship-based, and spaceborne radars
Alain Protat, Valentin Louf, Joshua Soderholm, Jordan Brook, and William Ponsonby
Atmos. Meas. Tech., 15, 915–926, https://doi.org/10.5194/amt-15-915-2022,https://doi.org/10.5194/amt-15-915-2022, 2022
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23 Feb 2022
Assessing synergistic radar and radiometer capability in retrieving ice cloud microphysics based on hybrid Bayesian algorithms
Yuli Liu and Gerald G. Mace
Atmos. Meas. Tech., 15, 927–944, https://doi.org/10.5194/amt-15-927-2022,https://doi.org/10.5194/amt-15-927-2022, 2022
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23 Feb 2022
Detection of nitrous acid in the atmospheric simulation chamber SAPHIR using open-path incoherent broadband cavity-enhanced absorption spectroscopy and extractive long-path absorption photometry
Sophie Dixneuf, Albert A. Ruth, Rolf Häseler, Theo Brauers, Franz Rohrer, and Hans-Peter Dorn
Atmos. Meas. Tech., 15, 945–964, https://doi.org/10.5194/amt-15-945-2022,https://doi.org/10.5194/amt-15-945-2022, 2022
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23 Feb 2022
Cloud microphysical measurements at a mountain observatory: comparison between shadowgraph imaging and phase Doppler interferometry
Moein Mohammadi, Jakub L. Nowak, Guus Bertens, Jan Moláček, Wojciech Kumala, and Szymon P. Malinowski
Atmos. Meas. Tech., 15, 965–985, https://doi.org/10.5194/amt-15-965-2022,https://doi.org/10.5194/amt-15-965-2022, 2022
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24 Feb 2022
Calculating the vertical column density of O4 during daytime from surface values of pressure, temperature, and relative humidity
Steffen Beirle, Christian Borger, Steffen Dörner, Vinod Kumar, and Thomas Wagner
Atmos. Meas. Tech., 15, 987–1006, https://doi.org/10.5194/amt-15-987-2022,https://doi.org/10.5194/amt-15-987-2022, 2022
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25 Feb 2022
Cloud condensation nuclei (CCN) activity analysis of low-hygroscopicity aerosols using the aerodynamic aerosol classifier (AAC)
Kanishk Gohil and Akua A. Asa-Awuku
Atmos. Meas. Tech., 15, 1007–1019, https://doi.org/10.5194/amt-15-1007-2022,https://doi.org/10.5194/amt-15-1007-2022, 2022
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25 Feb 2022
Laboratory evaluation of the scattering matrix of ragweed, ash, birch and pine pollen towards pollen classification
Danaël Cholleton, Émilie Bialic, Antoine Dumas, Pascal Kaluzny, Patrick Rairoux, and Alain Miffre
Atmos. Meas. Tech., 15, 1021–1032, https://doi.org/10.5194/amt-15-1021-2022,https://doi.org/10.5194/amt-15-1021-2022, 2022
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01 Mar 2022
Evaluation of convective cloud microphysics in numerical weather prediction models with dual-wavelength polarimetric radar observations: methods and examples
Gregor Köcher, Tobias Zinner, Christoph Knote, Eleni Tetoni, Florian Ewald, and Martin Hagen
Atmos. Meas. Tech., 15, 1033–1054, https://doi.org/10.5194/amt-15-1033-2022,https://doi.org/10.5194/amt-15-1033-2022, 2022
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02 Mar 2022
Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles
Artem G. Feofilov, Hélène Chepfer, Vincent Noël, Rodrigo Guzman, Cyprien Gindre, Po-Lun Ma, and Marjolaine Chiriaco
Atmos. Meas. Tech., 15, 1055–1074, https://doi.org/10.5194/amt-15-1055-2022,https://doi.org/10.5194/amt-15-1055-2022, 2022
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03 Mar 2022
Continuous mapping of fine particulate matter (PM2.5) air quality in East Asia at daily 6  ×  6 km2 resolution by application of a random forest algorithm to 2011–2019 GOCI geostationary satellite data
Drew C. Pendergrass, Shixian Zhai, Jhoon Kim, Ja-Ho Koo, Seoyoung Lee, Minah Bae, Soontae Kim, Hong Liao, and Daniel J. Jacob
Atmos. Meas. Tech., 15, 1075–1091, https://doi.org/10.5194/amt-15-1075-2022,https://doi.org/10.5194/amt-15-1075-2022, 2022
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04 Mar 2022
Laser imaging nephelometer for aircraft deployment
Adam T. Ahern, Frank Erdesz, Nicholas L. Wagner, Charles A. Brock, Ming Lyu, Kyra Slovacek, Richard H. Moore, Elizabeth B. Wiggins, and Daniel M. Murphy
Atmos. Meas. Tech., 15, 1093–1105, https://doi.org/10.5194/amt-15-1093-2022,https://doi.org/10.5194/amt-15-1093-2022, 2022
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04 Mar 2022
Radiation correction and uncertainty evaluation of RS41 temperature sensors by using an upper-air simulator
Sang-Wook Lee, Sunghun Kim, Young-Suk Lee, Byung Il Choi, Woong Kang, Youn Kyun Oh, Seongchong Park, Jae-Keun Yoo, Joohyun Lee, Sungjun Lee, Suyong Kwon, and Yong-Gyoo Kim
Atmos. Meas. Tech., 15, 1107–1121, https://doi.org/10.5194/amt-15-1107-2022,https://doi.org/10.5194/amt-15-1107-2022, 2022
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04 Mar 2022
Aerosol models from the AERONET database: application to surface reflectance validation
Jean-Claude Roger, Eric Vermote, Sergii Skakun, Emilie Murphy, Oleg Dubovik, Natacha Kalecinski, Bruno Korgo, and Brent Holben
Atmos. Meas. Tech., 15, 1123–1144, https://doi.org/10.5194/amt-15-1123-2022,https://doi.org/10.5194/amt-15-1123-2022, 2022
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07 Mar 2022
Truth and uncertainty. A critical discussion of the error concept versus the uncertainty concept
Thomas von Clarmann, Steven Compernolle, and Frank Hase
Atmos. Meas. Tech., 15, 1145–1157, https://doi.org/10.5194/amt-15-1145-2022,https://doi.org/10.5194/amt-15-1145-2022, 2022
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07 Mar 2022
A versatile vacuum ultraviolet ion source for reduced pressure bipolar chemical ionization mass spectrometry
Martin Breitenlechner, Gordon A. Novak, J. Andrew Neuman, Andrew W. Rollins, and Patrick R. Veres
Atmos. Meas. Tech., 15, 1159–1169, https://doi.org/10.5194/amt-15-1159-2022,https://doi.org/10.5194/amt-15-1159-2022, 2022
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07 Mar 2022
Aerosol optical characteristics in the urban area of Rome, Italy, and their impact on the UV index
Monica Campanelli, Henri Diémoz, Anna Maria Siani, Alcide di Sarra, Anna Maria Iannarelli, Rei Kudo, Gabriele Fasano, Giampietro Casasanta, Luca Tofful, Marco Cacciani, Paolo Sanò, and Stefano Dietrich
Atmos. Meas. Tech., 15, 1171–1183, https://doi.org/10.5194/amt-15-1171-2022,https://doi.org/10.5194/amt-15-1171-2022, 2022
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08 Mar 2022
Low-level buoyancy as a tool to understand boundary layer transitions
Francesca M. Lappin, Tyler M. Bell, Elizabeth A. Pillar-Little, and Phillip B. Chilson
Atmos. Meas. Tech., 15, 1185–1200, https://doi.org/10.5194/amt-15-1185-2022,https://doi.org/10.5194/amt-15-1185-2022, 2022
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08 Mar 2022
MULTICHARME: a modified Chernin-type multi-pass cell designed for IR and THz long-path absorption measurements in the CHARME atmospheric simulation chamber
Jean Decker, Éric Fertein, Jonas Bruckhuisen, Nicolas Houzel, Pierre Kulinski, Bo Fang, Weixiong Zhao, Francis Hindle, Guillaume Dhont, Robin Bocquet, Gaël Mouret, Cécile Coeur, and Arnaud Cuisset
Atmos. Meas. Tech., 15, 1201–1215, https://doi.org/10.5194/amt-15-1201-2022,https://doi.org/10.5194/amt-15-1201-2022, 2022
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09 Mar 2022
A semi-automated procedure for the emitter–receiver geometry characterization of motor-controlled lidars
Marco Di Paolantonio, Davide Dionisi, and Gian Luigi Liberti
Atmos. Meas. Tech., 15, 1217–1231, https://doi.org/10.5194/amt-15-1217-2022,https://doi.org/10.5194/amt-15-1217-2022, 2022
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09 Mar 2022
Assessment of the quality of ACE-FTS stratospheric ozone data
Patrick E. Sheese, Kaley A. Walker, Chris D. Boone, Adam E. Bourassa, Doug A. Degenstein, Lucien Froidevaux, C. Thomas McElroy, Donal Murtagh, James M. Russell III, and Jiansheng Zou
Atmos. Meas. Tech., 15, 1233–1249, https://doi.org/10.5194/amt-15-1233-2022,https://doi.org/10.5194/amt-15-1233-2022, 2022
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10 Mar 2022
Simulated multispectral temperature and atmospheric composition retrievals for the JPL GEO-IR Sounder
Vijay Natraj, Ming Luo, Jean-Francois Blavier, Vivienne H. Payne, Derek J. Posselt, Stanley P. Sander, Zhao-Cheng Zeng, Jessica L. Neu, Denis Tremblay, Longtao Wu, Jacola A. Roman, Yen-Hung Wu, and Leonard I. Dorsky
Atmos. Meas. Tech., 15, 1251–1267, https://doi.org/10.5194/amt-15-1251-2022,https://doi.org/10.5194/amt-15-1251-2022, 2022
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11 Mar 2022
Retrieval of tropospheric aerosol, NO2, and HCHO vertical profiles from MAX-DOAS observations over Thessaloniki, Greece: intercomparison and validation of two inversion algorithms
Dimitris Karagkiozidis, Martina Michaela Friedrich, Steffen Beirle, Alkiviadis Bais, François Hendrick, Kalliopi Artemis Voudouri, Ilias Fountoulakis, Angelos Karanikolas, Paraskevi Tzoumaka, Michel Van Roozendael, Dimitris Balis, and Thomas Wagner
Atmos. Meas. Tech., 15, 1269–1301, https://doi.org/10.5194/amt-15-1269-2022,https://doi.org/10.5194/amt-15-1269-2022, 2022
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11 Mar 2022
Retrieval improvements for the ALADIN Airborne Demonstrator in support of the Aeolus wind product validation
Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Alexander Geiß, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 1303–1331, https://doi.org/10.5194/amt-15-1303-2022,https://doi.org/10.5194/amt-15-1303-2022, 2022
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14 Mar 2022
Analytic characterization of random errors in spectral dual-polarized cloud radar observations
Alexander Myagkov and Davide Ori
Atmos. Meas. Tech., 15, 1333–1354, https://doi.org/10.5194/amt-15-1333-2022,https://doi.org/10.5194/amt-15-1333-2022, 2022
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15 Mar 2022
Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel
Marijn Floris van Dooren, Anantha Padmanabhan Kidambi Sekar, Lars Neuhaus, Torben Mikkelsen, Michael Hölling, and Martin Kühn
Atmos. Meas. Tech., 15, 1355–1372, https://doi.org/10.5194/amt-15-1355-2022,https://doi.org/10.5194/amt-15-1355-2022, 2022
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15 Mar 2022
Above-aircraft cirrus cloud and aerosol optical depth from hyperspectral irradiances measured by a total-diffuse radiometer
Matthew S. Norgren, John Wood, K. Sebastian Schmidt, Bastiaan van Diedenhoven, Snorre A. Stamnes, Luke D. Ziemba, Ewan C. Crosbie, Michael A. Shook, A. Scott Kittelman, Samuel E. LeBlanc, Stephen Broccardo, Steffen Freitag, and Jeffrey S. Reid
Atmos. Meas. Tech., 15, 1373–1394, https://doi.org/10.5194/amt-15-1373-2022,https://doi.org/10.5194/amt-15-1373-2022, 2022
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16 Mar 2022
The NO2 camera based on gas correlation spectroscopy
Leon Kuhn, Jonas Kuhn, Thomas Wagner, and Ulrich Platt
Atmos. Meas. Tech., 15, 1395–1414, https://doi.org/10.5194/amt-15-1395-2022,https://doi.org/10.5194/amt-15-1395-2022, 2022
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16 Mar 2022
Improved monitoring of shipping NO2 with TROPOMI: decreasing NOx emissions in European seas during the COVID-19 pandemic
Tobias Christoph Valentin Werner Riess, Klaas Folkert Boersma, Jasper van Vliet, Wouter Peters, Maarten Sneep, Henk Eskes, and Jos van Geffen
Atmos. Meas. Tech., 15, 1415–1438, https://doi.org/10.5194/amt-15-1415-2022,https://doi.org/10.5194/amt-15-1415-2022, 2022
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16 Mar 2022
Snow microphysical retrieval from the NASA D3R radar during ICE-POP 2018
S. Joseph Munchak, Robert S. Schrom, Charles N. Helms, and Ali Tokay
Atmos. Meas. Tech., 15, 1439–1464, https://doi.org/10.5194/amt-15-1439-2022,https://doi.org/10.5194/amt-15-1439-2022, 2022
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16 Mar 2022
Spectral performance analysis of the Aeolus Fabry–Pérot and Fizeau interferometers during the first years of operation
Benjamin Witschas, Christian Lemmerz, Oliver Lux, Uwe Marksteiner, Oliver Reitebuch, Fabian Weiler, Frederic Fabre, Alain Dabas, Thomas Flament, Dorit Huber, and Michael Vaughan
Atmos. Meas. Tech., 15, 1465–1489, https://doi.org/10.5194/amt-15-1465-2022,https://doi.org/10.5194/amt-15-1465-2022, 2022
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16 Mar 2022
VELOX – a new thermal infrared imager for airborne remote sensing of cloud and surface properties
Michael Schäfer, Kevin Wolf, André Ehrlich, Christoph Hallbauer, Evelyn Jäkel, Friedhelm Jansen, Anna Elizabeth Luebke, Joshua Müller, Jakob Thoböll, Timo Röschenthaler, Bjorn Stevens, and Manfred Wendisch
Atmos. Meas. Tech., 15, 1491–1509, https://doi.org/10.5194/amt-15-1491-2022,https://doi.org/10.5194/amt-15-1491-2022, 2022
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16 Mar 2022
Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species
Junlei Zhan, Yongchun Liu, Wei Ma, Xin Zhang, Xuezhong Wang, Fang Bi, Yujie Zhang, Zhenhai Wu, and Hong Li
Atmos. Meas. Tech., 15, 1511–1520, https://doi.org/10.5194/amt-15-1511-2022,https://doi.org/10.5194/amt-15-1511-2022, 2022
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16 Mar 2022
Variations of Arctic winter ozone from the LIMS Level 3 dataset
Ellis Remsberg, Murali Natarajan, and Ernest Hilsenrath
Atmos. Meas. Tech., 15, 1521–1535, https://doi.org/10.5194/amt-15-1521-2022,https://doi.org/10.5194/amt-15-1521-2022, 2022
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17 Mar 2022
Remote sensing of solar surface radiation – a reflection of concepts, applications and input data based on experience with the effective cloud albedo
Richard Müller and Uwe Pfeifroth
Atmos. Meas. Tech., 15, 1537–1561, https://doi.org/10.5194/amt-15-1537-2022,https://doi.org/10.5194/amt-15-1537-2022, 2022
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18 Mar 2022
Atmospheric precipitable water vapor and its correlation with clear-sky infrared temperature observations
Vicki Kelsey, Spencer Riley, and Kenneth Minschwaner
Atmos. Meas. Tech., 15, 1563–1576, https://doi.org/10.5194/amt-15-1563-2022,https://doi.org/10.5194/amt-15-1563-2022, 2022
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18 Mar 2022
Far-ultraviolet airglow remote sensing measurements on Feng Yun 3-D meteorological satellite
Yungang Wang, Liping Fu, Fang Jiang, Xiuqing Hu, Chengbao Liu, Xiaoxin Zhang, Jiawei Li, Zhipeng Ren, Fei He, Lingfeng Sun, Ling Sun, Zhongdong Yang, Peng Zhang, Jingsong Wang, and Tian Mao
Atmos. Meas. Tech., 15, 1577–1586, https://doi.org/10.5194/amt-15-1577-2022,https://doi.org/10.5194/amt-15-1577-2022, 2022
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18 Mar 2022
Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 1: Synthetic dataset for validation of trace gas retrieval algorithms
Claudia Emde, Huan Yu, Arve Kylling, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer
Atmos. Meas. Tech., 15, 1587–1608, https://doi.org/10.5194/amt-15-1587-2022,https://doi.org/10.5194/amt-15-1587-2022, 2022
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21 Mar 2022
Mapping the spatial distribution of NO2 with in situ and remote sensing instruments during the Munich NO2 imaging campaign
Gerrit Kuhlmann, Ka Lok Chan, Sebastian Donner, Ying Zhu, Marc Schwaerzel, Steffen Dörner, Jia Chen, Andreas Hueni, Duc Hai Nguyen, Alexander Damm, Annette Schütt, Florian Dietrich, Dominik Brunner, Cheng Liu, Brigitte Buchmann, Thomas Wagner, and Mark Wenig
Atmos. Meas. Tech., 15, 1609–1629, https://doi.org/10.5194/amt-15-1609-2022,https://doi.org/10.5194/amt-15-1609-2022, 2022
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21 Mar 2022
IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean
Peter Sperlich, Gordon W. Brailsford, Rowena C. Moss, John McGregor, Ross J. Martin, Sylvia Nichol, Sara Mikaloff-Fletcher, Beata Bukosa, Magda Mandic, C. Ian Schipper, Paul Krummel, and Alan D. Griffiths
Atmos. Meas. Tech., 15, 1631–1656, https://doi.org/10.5194/amt-15-1631-2022,https://doi.org/10.5194/amt-15-1631-2022, 2022
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21 Mar 2022
Mapping methane plumes at very high spatial resolution with the WorldView-3 satellite
Elena Sánchez-García, Javier Gorroño, Itziar Irakulis-Loitxate, Daniel J. Varon, and Luis Guanter
Atmos. Meas. Tech., 15, 1657–1674, https://doi.org/10.5194/amt-15-1657-2022,https://doi.org/10.5194/amt-15-1657-2022, 2022
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22 Mar 2022
Water vapor estimation based on 1-year data of E-band millimeter wave link in North China
Siming Zheng, Juan Huo, Wenbing Cai, Yinhui Zhang, Peng Li, Gaoyuan Zhang, Baofeng Ji, Jiafeng Zhou, and Congzheng Han
Atmos. Meas. Tech., 15, 1675–1687, https://doi.org/10.5194/amt-15-1675-2022,https://doi.org/10.5194/amt-15-1675-2022, 2022
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22 Mar 2022
Detecting wave features in Doppler radial velocity radar observations
Matthew A. Miller, Sandra E. Yuter, Nicole P. Hoban, Laura M. Tomkins, and Brian A. Colle
Atmos. Meas. Tech., 15, 1689–1702, https://doi.org/10.5194/amt-15-1689-2022,https://doi.org/10.5194/amt-15-1689-2022, 2022
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23 Mar 2022
A comparison of the impact of TROPOMI and OMI tropospheric NO2 on global chemical data assimilation
Takashi Sekiya, Kazuyuki Miyazaki, Henk Eskes, Kengo Sudo, Masayuki Takigawa, and Yugo Kanaya
Atmos. Meas. Tech., 15, 1703–1728, https://doi.org/10.5194/amt-15-1703-2022,https://doi.org/10.5194/amt-15-1703-2022, 2022
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23 Mar 2022
Empirical model of multiple-scattering effect on single-wavelength lidar data of aerosols and clouds
Valery Shcherbakov, Frédéric Szczap, Alaa Alkasem, Guillaume Mioche, and Céline Cornet
Atmos. Meas. Tech., 15, 1729–1754, https://doi.org/10.5194/amt-15-1729-2022,https://doi.org/10.5194/amt-15-1729-2022, 2022
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23 Mar 2022
Emissivity retrievals with FORUM's end-to-end simulator: challenges and recommendations
Maya Ben-Yami, Hilke Oetjen, Helen Brindley, William Cossich, Dulce Lajas, Tiziano Maestri, Davide Magurno, Piera Raspollini, Luca Sgheri, and Laura Warwick
Atmos. Meas. Tech., 15, 1755–1777, https://doi.org/10.5194/amt-15-1755-2022,https://doi.org/10.5194/amt-15-1755-2022, 2022
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24 Mar 2022
Time evolution of temperature profiles retrieved from 13 years of infrared atmospheric sounding interferometer (IASI) data using an artificial neural network
Marie Bouillon, Sarah Safieddine, Simon Whitburn, Lieven Clarisse, Filipe Aires, Victor Pellet, Olivier Lezeaux, Noëlle A. Scott, Marie Doutriaux-Boucher, and Cathy Clerbaux
Atmos. Meas. Tech., 15, 1779–1793, https://doi.org/10.5194/amt-15-1779-2022,https://doi.org/10.5194/amt-15-1779-2022, 2022
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25 Mar 2022
LED-based solar simulator to study photochemistry over a wide temperature range in the large simulation chamber AIDA
Magdalena Vallon, Linyu Gao, Feng Jiang, Bianca Krumm, Jens Nadolny, Junwei Song, Thomas Leisner, and Harald Saathoff
Atmos. Meas. Tech., 15, 1795–1810, https://doi.org/10.5194/amt-15-1795-2022,https://doi.org/10.5194/amt-15-1795-2022, 2022
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25 Mar 2022
Fragmentation inside proton-transfer-reaction-based mass spectrometers limits the detection of ROOR and ROOH peroxides
Haiyan Li, Thomas Golin Almeida, Yuanyuan Luo, Jian Zhao, Brett B. Palm, Christopher D. Daub, Wei Huang, Claudia Mohr, Jordan E. Krechmer, Theo Kurtén, and Mikael Ehn
Atmos. Meas. Tech., 15, 1811–1827, https://doi.org/10.5194/amt-15-1811-2022,https://doi.org/10.5194/amt-15-1811-2022, 2022
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25 Mar 2022
Identification of tropical cyclones via deep convolutional neural network based on satellite cloud images
Biao Tong, Xiangfei Sun, Jiyang Fu, Yuncheng He, and Pakwai Chan
Atmos. Meas. Tech., 15, 1829–1848, https://doi.org/10.5194/amt-15-1829-2022,https://doi.org/10.5194/amt-15-1829-2022, 2022
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28 Mar 2022
Optimized Umkehr profile algorithm for ozone trend analyses
Irina Petropavlovskikh, Koji Miyagawa, Audra McClure-Beegle, Bryan Johnson, Jeannette Wild, Susan Strahan, Krzysztof Wargan, Richard Querel, Lawrence Flynn, Eric Beach, Gerard Ancellet, and Sophie Godin-Beekmann
Atmos. Meas. Tech., 15, 1849–1870, https://doi.org/10.5194/amt-15-1849-2022,https://doi.org/10.5194/amt-15-1849-2022, 2022
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28 Mar 2022
Level 2 processor and auxiliary data for ESA Version 8 final full mission analysis of MIPAS measurements on ENVISAT
Piera Raspollini, Enrico Arnone, Flavio Barbara, Massimo Bianchini, Bruno Carli, Simone Ceccherini, Martyn P. Chipperfield, Angelika Dehn, Stefano Della Fera, Bianca Maria Dinelli, Anu Dudhia, Jean-Marie Flaud, Marco Gai, Michael Kiefer, Manuel López-Puertas, David P. Moore, Alessandro Piro, John J. Remedios, Marco Ridolfi, Harjinder Sembhi, Luca Sgheri, and Nicola Zoppetti
Atmos. Meas. Tech., 15, 1871–1901, https://doi.org/10.5194/amt-15-1871-2022,https://doi.org/10.5194/amt-15-1871-2022, 2022
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28 Mar 2022
Fill dynamics and sample mixing in the AirCore
Pieter Tans
Atmos. Meas. Tech., 15, 1903–1916, https://doi.org/10.5194/amt-15-1903-2022,https://doi.org/10.5194/amt-15-1903-2022, 2022
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29 Mar 2022
Traceable total ozone column retrievals from direct solar spectral irradiance measurements in the ultraviolet
Luca Egli, Julian Gröbner, Gregor Hülsen, Herbert Schill, and René Stübi
Atmos. Meas. Tech., 15, 1917–1930, https://doi.org/10.5194/amt-15-1917-2022,https://doi.org/10.5194/amt-15-1917-2022, 2022
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30 Mar 2022
Assessing the benefits of Imaging Infrared Radiometer observations for the CALIOP version 4 cloud and aerosol discrimination algorithm
Thibault Vaillant de Guélis, Gérard Ancellet, Anne Garnier, Laurent C.-Labonnote, Jacques Pelon, Mark A. Vaughan, Zhaoyan Liu, and David M. Winker
Atmos. Meas. Tech., 15, 1931–1956, https://doi.org/10.5194/amt-15-1931-2022,https://doi.org/10.5194/amt-15-1931-2022, 2022
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31 Mar 2022
Estimation of sulfuric acid concentration using ambient ion composition and concentration data obtained with atmospheric pressure interface time-of-flight ion mass spectrometer
Lisa J. Beck, Siegfried Schobesberger, Mikko Sipilä, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Meas. Tech., 15, 1957–1965, https://doi.org/10.5194/amt-15-1957-2022,https://doi.org/10.5194/amt-15-1957-2022, 2022
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31 Mar 2022
Quality assessment of Second-generation Global Imager (SGLI)-observed cloud properties using SKYNET surface observation data
Pradeep Khatri, Tadahiro Hayasaka, Hitoshi Irie, Husi Letu, Takashi Y. Nakajima, Hiroshi Ishimoto, and Tamio Takamura
Atmos. Meas. Tech., 15, 1967–1982, https://doi.org/10.5194/amt-15-1967-2022,https://doi.org/10.5194/amt-15-1967-2022, 2022
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31 Mar 2022
A relaxed eddy accumulation (REA) LOPAP system for flux measurements of nitrous acid (HONO)
Lisa von der Heyden, Walter Wißdorf, Ralf Kurtenbach, and Jörg Kleffmann
Atmos. Meas. Tech., 15, 1983–2000, https://doi.org/10.5194/amt-15-1983-2022,https://doi.org/10.5194/amt-15-1983-2022, 2022
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05 Apr 2022
Formaldehyde and glyoxal measurement deploying a selected ion flow tube mass spectrometer (SIFT-MS)
Antonia G. Zogka, Manolis N. Romanias, and Frederic Thevenet
Atmos. Meas. Tech., 15, 2001–2019, https://doi.org/10.5194/amt-15-2001-2022,https://doi.org/10.5194/amt-15-2001-2022, 2022
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05 Apr 2022
Towards the use of conservative thermodynamic variables in data assimilation: a case study using ground-based microwave radiometer measurements
Pascal Marquet, Pauline Martinet, Jean-François Mahfouf, Alina Lavinia Barbu, and Benjamin Ménétrier
Atmos. Meas. Tech., 15, 2021–2035, https://doi.org/10.5194/amt-15-2021-2022,https://doi.org/10.5194/amt-15-2021-2022, 2022
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05 Apr 2022
Sentinel-5P TROPOMI NO2 retrieval: impact of version v2.2 improvements and comparisons with OMI and ground-based data
Jos van Geffen, Henk Eskes, Steven Compernolle, Gaia Pinardi, Tijl Verhoelst, Jean-Christopher Lambert, Maarten Sneep, Mark ter Linden, Antje Ludewig, K. Folkert Boersma, and J. Pepijn Veefkind
Atmos. Meas. Tech., 15, 2037–2060, https://doi.org/10.5194/amt-15-2037-2022,https://doi.org/10.5194/amt-15-2037-2022, 2022
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05 Apr 2022
Simulation and field campaign evaluation of an optical particle counter on a fixed-wing UAV
Joseph Girdwood, Warren Stanley, Chris Stopford, and David Brus
Atmos. Meas. Tech., 15, 2061–2076, https://doi.org/10.5194/amt-15-2061-2022,https://doi.org/10.5194/amt-15-2061-2022, 2022
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05 Apr 2022
| Highlight paper
Enhancing MAX-DOAS atmospheric state retrievals by multispectral polarimetry – studies using synthetic data
Jan-Lukas Tirpitz, Udo Frieß, Robert Spurr, and Ulrich Platt
Atmos. Meas. Tech., 15, 2077–2098, https://doi.org/10.5194/amt-15-2077-2022,https://doi.org/10.5194/amt-15-2077-2022, 2022
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07 Apr 2022
Evaluating the consistency and continuity of pixel-scale cloud property data records from Aqua and SNPP (Suomi National Polar-orbiting Partnership)
Qing Yue, Eric J. Fetzer, Likun Wang, Brian H. Kahn, Nadia Smith, John M. Blaisdell, Kerry G. Meyer, Mathias Schreier, Bjorn Lambrigtsen, and Irina Tkatcheva
Atmos. Meas. Tech., 15, 2099–2123, https://doi.org/10.5194/amt-15-2099-2022,https://doi.org/10.5194/amt-15-2099-2022, 2022
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07 Apr 2022
Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2
Lu Yao, Yi Liu, Dongxu Yang, Zhaonan Cai, Jing Wang, Chao Lin, Naimeng Lu, Daren Lyu, Longfei Tian, Maohua Wang, Zengshan Yin, Yuquan Zheng, and Sisi Wang
Atmos. Meas. Tech., 15, 2125–2137, https://doi.org/10.5194/amt-15-2125-2022,https://doi.org/10.5194/amt-15-2125-2022, 2022
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08 Apr 2022
Evaluation of aerosol microphysical, optical and radiative properties measured with a multiwavelength photometer
Yu Zheng, Huizheng Che, Yupeng Wang, Xiangao Xia, Xiuqing Hu, Xiaochun Zhang, Jun Zhu, Jibiao Zhu, Hujia Zhao, Lei Li, Ke Gui, and Xiaoye Zhang
Atmos. Meas. Tech., 15, 2139–2158, https://doi.org/10.5194/amt-15-2139-2022,https://doi.org/10.5194/amt-15-2139-2022, 2022
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08 Apr 2022
Characterization of soot produced by the mini inverted soot generator with an atmospheric simulation chamber
Virginia Vernocchi, Marco Brunoldi, Silvia G. Danelli, Franco Parodi, Paolo Prati, and Dario Massabò
Atmos. Meas. Tech., 15, 2159–2175, https://doi.org/10.5194/amt-15-2159-2022,https://doi.org/10.5194/amt-15-2159-2022, 2022
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11 Apr 2022
Controlled-release experiment to investigate uncertainties in UAV-based emission quantification for methane point sources
Randulph Morales, Jonas Ravelid, Katarina Vinkovic, Piotr Korbeń, Béla Tuzson, Lukas Emmenegger, Huilin Chen, Martina Schmidt, Sebastian Humbel, and Dominik Brunner
Atmos. Meas. Tech., 15, 2177–2198, https://doi.org/10.5194/amt-15-2177-2022,https://doi.org/10.5194/amt-15-2177-2022, 2022
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13 Apr 2022
Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations
Carlos Alberti, Qiansi Tu, Frank Hase, Maria V. Makarova, Konstantin Gribanov, Stefani C. Foka, Vyacheslav Zakharov, Thomas Blumenstock, Michael Buchwitz, Christopher Diekmann, Benjamin Ertl, Matthias M. Frey, Hamud Kh. Imhasin, Dmitry V. Ionov, Farahnaz Khosrawi, Sergey I. Osipov, Maximilian Reuter, Matthias Schneider, and Thorsten Warneke
Atmos. Meas. Tech., 15, 2199–2229, https://doi.org/10.5194/amt-15-2199-2022,https://doi.org/10.5194/amt-15-2199-2022, 2022
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13 Apr 2022
Continuous temperature soundings at the stratosphere and lower mesosphere with a ground-based radiometer considering the Zeeman effect
Witali Krochin​​​​​​​, Francisco Navas-Guzmán, David Kuhl, Axel Murk, and Gunter Stober
Atmos. Meas. Tech., 15, 2231–2249, https://doi.org/10.5194/amt-15-2231-2022,https://doi.org/10.5194/amt-15-2231-2022, 2022
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14 Apr 2022
Retrieving H2O/HDO columns over cloudy and clear-sky scenes from the Tropospheric Monitoring Instrument (TROPOMI)
Andreas Schneider, Tobias Borsdorff, Joost aan de Brugh, Alba Lorente, Franziska Aemisegger, David Noone, Dean Henze, Rigel Kivi, and Jochen Landgraf
Atmos. Meas. Tech., 15, 2251–2275, https://doi.org/10.5194/amt-15-2251-2022,https://doi.org/10.5194/amt-15-2251-2022, 2022
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14 Apr 2022
Characteristics of the derived energy dissipation rate using the 1 Hz commercial aircraft quick access recorder (QAR) data
Soo-Hyun Kim, Jeonghoe Kim, Jung-Hoon Kim, and Hye-Yeong Chun
Atmos. Meas. Tech., 15, 2277–2298, https://doi.org/10.5194/amt-15-2277-2022,https://doi.org/10.5194/amt-15-2277-2022, 2022
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14 Apr 2022
| Highlight paper
The eVe reference polarisation lidar system for the calibration and validation of the Aeolus L2A product
Peristera Paschou, Nikolaos Siomos, Alexandra Tsekeri, Alexandros Louridas, George Georgoussis, Volker Freudenthaler, Ioannis Binietoglou, George Tsaknakis, Alexandros Tavernarakis, Christos Evangelatos, Jonas von Bismarck, Thomas Kanitz, Charikleia Meleti, Eleni Marinou, and Vassilis Amiridis
Atmos. Meas. Tech., 15, 2299–2323, https://doi.org/10.5194/amt-15-2299-2022,https://doi.org/10.5194/amt-15-2299-2022, 2022
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19 Apr 2022
The MOPITT Version 9 CO product: sampling enhancements and validation
Merritt Deeter, Gene Francis, John Gille, Debbie Mao, Sara Martínez-Alonso, Helen Worden, Dan Ziskin, James Drummond, Róisín Commane, Glenn Diskin, and Kathryn McKain
Atmos. Meas. Tech., 15, 2325–2344, https://doi.org/10.5194/amt-15-2325-2022,https://doi.org/10.5194/amt-15-2325-2022, 2022
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20 Apr 2022
The Aerosol Research Observation Station (AEROS)
Karin Ardon-Dryer, Mary C. Kelley, Xia Xueting, and Yuval Dryer
Atmos. Meas. Tech., 15, 2345–2360, https://doi.org/10.5194/amt-15-2345-2022,https://doi.org/10.5194/amt-15-2345-2022, 2022
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20 Apr 2022
Ground-based Ku-band microwave observations of ozone in the polar middle atmosphere
David A. Newnham, Mark A. Clilverd, William D. J. Clark, Michael Kosch, Pekka T. Verronen, and Alan E. E. Rogers
Atmos. Meas. Tech., 15, 2361–2376, https://doi.org/10.5194/amt-15-2361-2022,https://doi.org/10.5194/amt-15-2361-2022, 2022
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20 Apr 2022
On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
Edward Malina, Ben Veihelmann, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, and Isamu Morino
Atmos. Meas. Tech., 15, 2377–2406, https://doi.org/10.5194/amt-15-2377-2022,https://doi.org/10.5194/amt-15-2377-2022, 2022
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20 Apr 2022
Satellite data validation: a parametrization of the natural variability of atmospheric mixing ratios
Alexandra Laeng, Thomas von Clarmann, Quentin Errera, Udo Grabowski, and Shawn Honomichl
Atmos. Meas. Tech., 15, 2407–2416, https://doi.org/10.5194/amt-15-2407-2022,https://doi.org/10.5194/amt-15-2407-2022, 2022
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21 Apr 2022
Quantifying the coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland
Sasu Karttunen, Ewan O'Connor, Olli Peltola, and Leena Järvi
Atmos. Meas. Tech., 15, 2417–2432, https://doi.org/10.5194/amt-15-2417-2022,https://doi.org/10.5194/amt-15-2417-2022, 2022
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22 Apr 2022
Improved calibration procedures for the EM27/SUN spectrometers of the COllaborative Carbon Column Observing Network (COCCON)
Carlos Alberti, Frank Hase, Matthias Frey, Darko Dubravica, Thomas Blumenstock, Angelika Dehn, Paolo Castracane, Gregor Surawicz, Roland Harig, Bianca C. Baier, Caroline Bès, Jianrong Bi, Hartmut Boesch, André Butz, Zhaonan Cai, Jia Chen, Sean M. Crowell, Nicholas M. Deutscher, Dragos Ene, Jonathan E. Franklin, Omaira García, David Griffith, Bruno Grouiez, Michel Grutter, Abdelhamid Hamdouni, Sander Houweling, Neil Humpage, Nicole Jacobs, Sujong Jeong, Lilian Joly, Nicholas B. Jones, Denis Jouglet, Rigel Kivi, Ralph Kleinschek, Morgan Lopez, Diogo J. Medeiros, Isamu Morino, Nasrin Mostafavipak, Astrid Müller, Hirofumi Ohyama, Paul I. Palmer, Mahesh Pathakoti, David F. Pollard, Uwe Raffalski, Michel Ramonet, Robbie Ramsay, Mahesh Kumar Sha, Kei Shiomi, William Simpson, Wolfgang Stremme, Youwen Sun, Hiroshi Tanimoto, Yao Té, Gizaw Mengistu Tsidu, Voltaire A. Velazco, Felix Vogel, Masataka Watanabe, Chong Wei, Debra Wunch, Marcia Yamasoe, Lu Zhang, and Johannes Orphal
Atmos. Meas. Tech., 15, 2433–2463, https://doi.org/10.5194/amt-15-2433-2022,https://doi.org/10.5194/amt-15-2433-2022, 2022
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22 Apr 2022
Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system
Liqiao Lei, Timothy A. Berkoff, Guillaume Gronoff, Jia Su, Amin R. Nehrir, Yonghua Wu, Fred Moshary, and Shi Kuang
Atmos. Meas. Tech., 15, 2465–2478, https://doi.org/10.5194/amt-15-2465-2022,https://doi.org/10.5194/amt-15-2465-2022, 2022
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25 Apr 2022
Evaluating convective planetary boundary layer height estimations resolved by both active and passive remote sensing instruments during the CHEESEHEAD19 field campaign
James B. Duncan Jr., Laura Bianco, Bianca Adler, Tyler Bell, Irina V. Djalalova, Laura Riihimaki, Joseph Sedlar, Elizabeth N. Smith, David D. Turner, Timothy J. Wagner, and James M. Wilczak
Atmos. Meas. Tech., 15, 2479–2502, https://doi.org/10.5194/amt-15-2479-2022,https://doi.org/10.5194/amt-15-2479-2022, 2022
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25 Apr 2022
Quantification and mitigation of the instrument effects and uncertainties of the airborne limb imaging FTIR GLORIA
Jörn Ungermann, Anne Kleinert, Guido Maucher, Irene Bartolomé, Felix Friedl-Vallon, Sören Johansson, Lukas Krasauskas, and Tom Neubert
Atmos. Meas. Tech., 15, 2503–2530, https://doi.org/10.5194/amt-15-2503-2022,https://doi.org/10.5194/amt-15-2503-2022, 2022
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26 Apr 2022
Laboratory characterisation and intercomparison sounding test of dual thermistor radiosondes for radiation correction
Sang-Wook Lee, Sunghun Kim, Young-Suk Lee, Jae-Keun Yoo, Sungjun Lee, Suyong Kwon, Byung Il Choi, Jaewon So, and Yong-Gyoo Kim
Atmos. Meas. Tech., 15, 2531–2545, https://doi.org/10.5194/amt-15-2531-2022,https://doi.org/10.5194/amt-15-2531-2022, 2022
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27 Apr 2022
An instrument for direct measurement of emissions: cooling tower example
Christopher D. Wallis, Mason D. Leandro, Patrick Y. Chuang, and Anthony S. Wexler
Atmos. Meas. Tech., 15, 2547–2556, https://doi.org/10.5194/amt-15-2547-2022,https://doi.org/10.5194/amt-15-2547-2022, 2022
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28 Apr 2022
Improved ozone monitoring by ground-based FTIR spectrometry
Omaira Elena García, Esther Sanromá, Matthias Schneider, Frank Hase, Sergio Fabián León-Luis, Thomas Blumenstock, Eliezer Sepúlveda, Alberto Redondas, Virgilio Carreño, Carlos Torres, and Natalia Prats
Atmos. Meas. Tech., 15, 2557–2577, https://doi.org/10.5194/amt-15-2557-2022,https://doi.org/10.5194/amt-15-2557-2022, 2022
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28 Apr 2022
Regularized inversion of aerosol hygroscopic growth factor probability density function: application to humidity-controlled fast integrated mobility spectrometer measurements
Jiaoshi Zhang, Yang Wang, Steven Spielman, Susanne Hering, and Jian Wang
Atmos. Meas. Tech., 15, 2579–2590, https://doi.org/10.5194/amt-15-2579-2022,https://doi.org/10.5194/amt-15-2579-2022, 2022
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29 Apr 2022
Development and application of a supervised pattern recognition algorithm for identification of fuel-specific emissions profiles
Christos Stamatis and Kelley Claire Barsanti
Atmos. Meas. Tech., 15, 2591–2606, https://doi.org/10.5194/amt-15-2591-2022,https://doi.org/10.5194/amt-15-2591-2022, 2022
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29 Apr 2022
Considerations for improving data quality of thermo-hygrometer sensors on board unmanned aerial systems for planetary boundary layer research
Antonio R. Segales, Phillip B. Chilson, and Jorge L. Salazar-Cerreño
Atmos. Meas. Tech., 15, 2607–2621, https://doi.org/10.5194/amt-15-2607-2022,https://doi.org/10.5194/amt-15-2607-2022, 2022
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02 May 2022
Development, characterization, and application of an improved online reactive oxygen species analyzer based on the Monitor for AeRosols and Gases in ambient Air (MARGA)
Jiyan Wu, Chi Yang, Chunyan Zhang, Fang Cao, Aiping Wu, and Yanlin Zhang
Atmos. Meas. Tech., 15, 2623–2633, https://doi.org/10.5194/amt-15-2623-2022,https://doi.org/10.5194/amt-15-2623-2022, 2022
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02 May 2022
An evaluation of the heat test for the ice-nucleating ability of minerals and biological material
Martin I. Daily, Mark D. Tarn, Thomas F. Whale, and Benjamin J. Murray
Atmos. Meas. Tech., 15, 2635–2665, https://doi.org/10.5194/amt-15-2635-2022,https://doi.org/10.5194/amt-15-2635-2022, 2022
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03 May 2022
Inter-comparison of online and offline methods for measuring ambient heavy and trace elements and water-soluble inorganic ions (NO3−, SO42−, NH4+, and Cl−) in PM2.5 over a heavily polluted megacity, Delhi
Himadri Sekhar Bhowmik, Ashutosh Shukla, Vipul Lalchandani, Jay Dave, Neeraj Rastogi, Mayank Kumar, Vikram Singh, and Sachchida Nand Tripathi
Atmos. Meas. Tech., 15, 2667–2684, https://doi.org/10.5194/amt-15-2667-2022,https://doi.org/10.5194/amt-15-2667-2022, 2022
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04 May 2022
Quantification of major particulate matter species from a single filter type using infrared spectroscopy – application to a large-scale monitoring network
Bruno Debus, Andrew T. Weakley, Satoshi Takahama, Kathryn M. George, Anahita Amiri-Farahani, Bret Schichtel, Scott Copeland, Anthony S. Wexler, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2685–2702, https://doi.org/10.5194/amt-15-2685-2022,https://doi.org/10.5194/amt-15-2685-2022, 2022
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05 May 2022
Air pollution monitoring: development of ammonia (NH3) dynamic reference gas mixtures at nanomoles per mole levels to improve the lack of traceability of measurements
Tatiana Macé, Maitane Iturrate-Garcia, Céline Pascale, Bernhard Niederhauser, Sophie Vaslin-Reimann, and Christophe Sutour
Atmos. Meas. Tech., 15, 2703–2718, https://doi.org/10.5194/amt-15-2703-2022,https://doi.org/10.5194/amt-15-2703-2022, 2022
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06 May 2022
Exploiting Aeolus level-2b winds to better characterize atmospheric motion vector bias and uncertainty
Katherine E. Lukens, Kayo Ide, Kevin Garrett, Hui Liu, David Santek, Brett Hoover, and Ross N. Hoffman
Atmos. Meas. Tech., 15, 2719–2743, https://doi.org/10.5194/amt-15-2719-2022,https://doi.org/10.5194/amt-15-2719-2022, 2022
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06 May 2022
Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios
Zhujun Li, David Painemal, Gregory Schuster, Marian Clayton, Richard Ferrare, Mark Vaughan, Damien Josset, Jayanta Kar, and Charles Trepte
Atmos. Meas. Tech., 15, 2745–2766, https://doi.org/10.5194/amt-15-2745-2022,https://doi.org/10.5194/amt-15-2745-2022, 2022
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06 May 2022
The polarimetric characteristics of dust with irregular shapes: evaluation of the spheroid model for single particles
Jie Luo, Zhengqiang Li, Cheng Fan, Hua Xu, Ying Zhang, Weizhen Hou, Lili Qie, Haoran Gu, Mengyao Zhu, Yinna Li, and Kaitao Li
Atmos. Meas. Tech., 15, 2767–2789, https://doi.org/10.5194/amt-15-2767-2022,https://doi.org/10.5194/amt-15-2767-2022, 2022
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06 May 2022
High-resolution typhoon precipitation integrations using satellite infrared observations and multisource data
You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang
Atmos. Meas. Tech., 15, 2791–2805, https://doi.org/10.5194/amt-15-2791-2022,https://doi.org/10.5194/amt-15-2791-2022, 2022
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09 May 2022
Metrology for low-cost CO2 sensors applications: the case of a steady-state through-flow (SS-TF) chamber for CO2 fluxes observations
Roger Curcoll, Josep-Anton Morguí, Armand Kamnang, Lídia Cañas, Arturo Vargas, and Claudia Grossi
Atmos. Meas. Tech., 15, 2807–2818, https://doi.org/10.5194/amt-15-2807-2022,https://doi.org/10.5194/amt-15-2807-2022, 2022
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09 May 2022
Observation of bioaerosol transport using wideband integrated bioaerosol sensor and coherent Doppler lidar
Dawei Tang, Tianwen Wei, Jinlong Yuan, Haiyun Xia, and Xiankang Dou
Atmos. Meas. Tech., 15, 2819–2838, https://doi.org/10.5194/amt-15-2819-2022,https://doi.org/10.5194/amt-15-2819-2022, 2022
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09 May 2022
Scan strategies for wind profiling with Doppler lidar – an large-eddy simulation (LES)-based evaluation
Charlotte Rahlves, Frank Beyrich, and Siegfried Raasch
Atmos. Meas. Tech., 15, 2839–2856, https://doi.org/10.5194/amt-15-2839-2022,https://doi.org/10.5194/amt-15-2839-2022, 2022
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09 May 2022
Fragment ion–functional group relationships in organic aerosols using aerosol mass spectrometry and mid-infrared spectroscopy
Amir Yazdani, Nikunj Dudani, Satoshi Takahama, Amelie Bertrand, André S. H. Prévôt, Imad El Haddad, and Ann M. Dillner
Atmos. Meas. Tech., 15, 2857–2874, https://doi.org/10.5194/amt-15-2857-2022,https://doi.org/10.5194/amt-15-2857-2022, 2022
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10 May 2022
Identification, monitoring, and reaction kinetics of reactive trace species using time-resolved mid-infrared quantum cascade laser absorption spectroscopy: development, characterisation, and initial results for the CH2OO Criegee intermediate
Zara S. Mir, Matthew Jamieson, Nicholas R. Greenall, Paul W. Seakins, Mark A. Blitz, and Daniel Stone
Atmos. Meas. Tech., 15, 2875–2887, https://doi.org/10.5194/amt-15-2875-2022,https://doi.org/10.5194/amt-15-2875-2022, 2022
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11 May 2022
Design, characterization, and first field deployment of a novel aircraft-based aerosol mass spectrometer combining the laser ablation and flash vaporization techniques
Andreas Hünig, Oliver Appel, Antonis Dragoneas, Sergej Molleker, Hans-Christian Clemen, Frank Helleis, Thomas Klimach, Franziska Köllner, Thomas Böttger, Frank Drewnick, Johannes Schneider, and Stephan Borrmann
Atmos. Meas. Tech., 15, 2889–2921, https://doi.org/10.5194/amt-15-2889-2022,https://doi.org/10.5194/amt-15-2889-2022, 2022
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11 May 2022
Infrasound measurement system for real-time in situ tornado measurements
Brandon C. White, Brian R. Elbing, and Imraan A. Faruque
Atmos. Meas. Tech., 15, 2923–2938, https://doi.org/10.5194/amt-15-2923-2022,https://doi.org/10.5194/amt-15-2923-2022, 2022
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11 May 2022
Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone
Sebastian Becker, André Ehrlich, Evelyn Jäkel, Tim Carlsen, Michael Schäfer, and Manfred Wendisch
Atmos. Meas. Tech., 15, 2939–2953, https://doi.org/10.5194/amt-15-2939-2022,https://doi.org/10.5194/amt-15-2939-2022, 2022
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12 May 2022
Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements
Nora Mettig, Mark Weber, Alexei Rozanov, John P. Burrows, Pepijn Veefkind, Anne M. Thompson, Ryan M. Stauffer, Thierry Leblanc, Gerard Ancellet, Michael J. Newchurch, Shi Kuang, Rigel Kivi, Matthew B. Tully, Roeland Van Malderen, Ankie Piters, Bogumil Kois, René Stübi, and Pavla Skrivankova
Atmos. Meas. Tech., 15, 2955–2978, https://doi.org/10.5194/amt-15-2955-2022,https://doi.org/10.5194/amt-15-2955-2022, 2022
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13 May 2022
Long-term behavior and stability of calibration models for NO and NO2 low-cost sensors
Horim Kim, Michael Müller, Stephan Henne, and Christoph Hüglin
Atmos. Meas. Tech., 15, 2979–2992, https://doi.org/10.5194/amt-15-2979-2022,https://doi.org/10.5194/amt-15-2979-2022, 2022
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13 May 2022
Intercomparison of holographic imaging and single-particle forward light scattering in situ measurements of liquid clouds in changing atmospheric conditions
Petri Tiitta, Ari Leskinen, Ville A. Kaikkonen, Eero O. Molkoselkä, Anssi J. Mäkynen, Jorma Joutsensaari, Silvia Calderon, Sami Romakkaniemi, and Mika Komppula
Atmos. Meas. Tech., 15, 2993–3009, https://doi.org/10.5194/amt-15-2993-2022,https://doi.org/10.5194/amt-15-2993-2022, 2022
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16 May 2022
Observation error analysis for the WInd VElocity Radar Nephoscope W-band Doppler conically scanning spaceborne radar via end-to-end simulations
Alessandro Battaglia, Paolo Martire, Eric Caubet, Laurent Phalippou, Fabrizio Stesina, Pavlos Kollias, and Anthony Illingworth
Atmos. Meas. Tech., 15, 3011–3030, https://doi.org/10.5194/amt-15-3011-2022,https://doi.org/10.5194/amt-15-3011-2022, 2022
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17 May 2022
Improving discrimination between clouds and optically thick aerosol plumes in geostationary satellite data
Daniel Robbins, Caroline Poulsen, Steven Siems, and Simon Proud
Atmos. Meas. Tech., 15, 3031–3051, https://doi.org/10.5194/amt-15-3031-2022,https://doi.org/10.5194/amt-15-3031-2022, 2022
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17 May 2022
Contrasting mineral dust abundances from X-ray diffraction and reflectance spectroscopy
Mohammad R. Sadrian, Wendy M. Calvin, and John McCormack
Atmos. Meas. Tech., 15, 3053–3074, https://doi.org/10.5194/amt-15-3053-2022,https://doi.org/10.5194/amt-15-3053-2022, 2022
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18 May 2022
Boundary-layer height and surface stability at Hyytiälä, Finland, in ERA5 and observations
Victoria Anne Sinclair, Jenna Ritvanen, Gabin Urbancic, Irene Erner, Yurii Batrak, Dmitri Moisseev, and Mona Kurppa
Atmos. Meas. Tech., 15, 3075–3103, https://doi.org/10.5194/amt-15-3075-2022,https://doi.org/10.5194/amt-15-3075-2022, 2022
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18 May 2022
Homogenization of the Observatoire de Haute Provence electrochemical concentration cell (ECC) ozonesonde data record: comparison with lidar and satellite observations
Gérard Ancellet, Sophie Godin-Beekmann, Herman G. J. Smit, Ryan M. Stauffer, Roeland Van Malderen, Renaud Bodichon, and Andrea Pazmiño
Atmos. Meas. Tech., 15, 3105–3120, https://doi.org/10.5194/amt-15-3105-2022,https://doi.org/10.5194/amt-15-3105-2022, 2022
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19 May 2022
DARCLOS: a cloud shadow detection algorithm for TROPOMI
Victor J. H. Trees, Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma
Atmos. Meas. Tech., 15, 3121–3140, https://doi.org/10.5194/amt-15-3121-2022,https://doi.org/10.5194/amt-15-3121-2022, 2022
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20 May 2022
Measurement of the vertical atmospheric density profile from the X-ray Earth occultation of the Crab Nebula with Insight-HXMT
Daochun Yu, Haitao Li, Baoquan Li, Mingyu Ge, Youli Tuo, Xiaobo Li, Wangchen Xue, Yaning Liu, Aoying Wang, Yajun Zhu, and Bingxian Luo
Atmos. Meas. Tech., 15, 3141–3159, https://doi.org/10.5194/amt-15-3141-2022,https://doi.org/10.5194/amt-15-3141-2022, 2022
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24 May 2022
Impact of particle size, refractive index, and shape on the determination of the particle scattering coefficient – an optical closure study evaluating different nephelometer angular truncation and illumination corrections
Marilena Teri, Thomas Müller, Josef Gasteiger, Sara Valentini, Helmuth Horvath, Roberta Vecchi, Paulus Bauer, Adrian Walser, and Bernadett Weinzierl
Atmos. Meas. Tech., 15, 3161–3187, https://doi.org/10.5194/amt-15-3161-2022,https://doi.org/10.5194/amt-15-3161-2022, 2022
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25 May 2022
Comment on “Comparison of ozone measurement methods in biomass burning smoke: an evaluation under field and laboratory conditions” by Long et al. (2021)
Noah Bernays, Daniel A. Jaffe, Irina Petropavlovskikh, and Peter Effertz
Atmos. Meas. Tech., 15, 3189–3192, https://doi.org/10.5194/amt-15-3189-2022,https://doi.org/10.5194/amt-15-3189-2022, 2022
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25 May 2022
Synergy of Using Nadir and Limb Instruments for Tropospheric Ozone Monitoring (SUNLIT)
Viktoria F. Sofieva, Risto Hänninen, Mikhail Sofiev, Monika Szeląg, Hei Shing Lee, Johanna Tamminen, and Christian Retscher
Atmos. Meas. Tech., 15, 3193–3212, https://doi.org/10.5194/amt-15-3193-2022,https://doi.org/10.5194/amt-15-3193-2022, 2022
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30 May 2022
A phase separation inlet for droplets, ice residuals, and interstitial aerosol particles
Libby Koolik, Michael Roesch, Carmen Dameto de Espana, Christopher Nathan Rapp, Lesly J. Franco Deloya, Chuanyang Shen, A. Gannet Hallar, Ian B. McCubbin, and Daniel J. Cziczo
Atmos. Meas. Tech., 15, 3213–3222, https://doi.org/10.5194/amt-15-3213-2022,https://doi.org/10.5194/amt-15-3213-2022, 2022
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30 May 2022
Aircraft-engine particulate matter emissions from conventional and sustainable aviation fuel combustion: comparison of measurement techniques for mass, number, and size
Joel C. Corbin, Tobias Schripp, Bruce E. Anderson, Greg J. Smallwood, Patrick LeClercq, Ewan C. Crosbie, Steven Achterberg, Philip D. Whitefield, Richard C. Miake-Lye, Zhenhong Yu, Andrew Freedman, Max Trueblood, David Satterfield, Wenyan Liu, Patrick Oßwald, Claire Robinson, Michael A. Shook, Richard H. Moore, and Prem Lobo
Atmos. Meas. Tech., 15, 3223–3242, https://doi.org/10.5194/amt-15-3223-2022,https://doi.org/10.5194/amt-15-3223-2022, 2022
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30 May 2022
A new scanning scheme and flexible retrieval for mean winds and gusts from Doppler lidar measurements
Julian Steinheuer, Carola Detring, Frank Beyrich, Ulrich Löhnert, Petra Friederichs, and Stephanie Fiedler
Atmos. Meas. Tech., 15, 3243–3260, https://doi.org/10.5194/amt-15-3243-2022,https://doi.org/10.5194/amt-15-3243-2022, 2022
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01 Jun 2022
Machine learning techniques to improve the field performance of low-cost air quality sensors
Tony Bush, Nick Papaioannou, Felix Leach, Francis D. Pope, Ajit Singh, G. Neil Thomas, Brian Stacey, and Suzanne Bartington
Atmos. Meas. Tech., 15, 3261–3278, https://doi.org/10.5194/amt-15-3261-2022,https://doi.org/10.5194/amt-15-3261-2022, 2022
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02 Jun 2022
Relative errors in derived multi-wavelength intensive aerosol optical properties using cavity attenuated phase shift single-scattering albedo monitors, a nephelometer, and tricolour absorption photometer measurements
Patrick Weber, Andreas Petzold, Oliver F. Bischof, Benedikt Fischer, Marcel Berg, Andrew Freedman, Timothy B. Onasch, and Ulrich Bundke
Atmos. Meas. Tech., 15, 3279–3296, https://doi.org/10.5194/amt-15-3279-2022,https://doi.org/10.5194/amt-15-3279-2022, 2022
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03 Jun 2022
Sensitivity analysis of attenuation in convective rainfall at X-band frequency using the mountain reference technique
Guy Delrieu, Anil Kumar Khanal, Frédéric Cazenave, and Brice Boudevillain
Atmos. Meas. Tech., 15, 3297–3314, https://doi.org/10.5194/amt-15-3297-2022,https://doi.org/10.5194/amt-15-3297-2022, 2022
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03 Jun 2022
Development and evaluation of correction models for a low-cost fine particulate matter monitor
Brayden Nilson, Peter L. Jackson, Corinne L. Schiller, and Matthew T. Parsons
Atmos. Meas. Tech., 15, 3315–3328, https://doi.org/10.5194/amt-15-3315-2022,https://doi.org/10.5194/amt-15-3315-2022, 2022
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08 Jun 2022
Quantification of lightning-produced NOx over the Pyrenees and the Ebro Valley by using different TROPOMI-NO2 and cloud research products
Francisco J. Pérez-Invernón, Heidi Huntrieser, Thilo Erbertseder, Diego Loyola, Pieter Valks, Song Liu, Dale J. Allen, Kenneth E. Pickering, Eric J. Bucsela, Patrick Jöckel, Jos van Geffen, Henk Eskes, Sergio Soler, Francisco J. Gordillo-Vázquez, and Jeff Lapierre
Atmos. Meas. Tech., 15, 3329–3351, https://doi.org/10.5194/amt-15-3329-2022,https://doi.org/10.5194/amt-15-3329-2022, 2022
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09 Jun 2022
Performance characterization of low-cost air quality sensors for off-grid deployment in rural Malawi
Ashley S. Bittner, Eben S. Cross, David H. Hagan, Carl Malings, Eric Lipsky, and Andrew P. Grieshop
Atmos. Meas. Tech., 15, 3353–3376, https://doi.org/10.5194/amt-15-3353-2022,https://doi.org/10.5194/amt-15-3353-2022, 2022
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09 Jun 2022
The SPARC Water Vapor Assessment II: assessment of satellite measurements of upper tropospheric humidity
William G. Read, Gabriele Stiller, Stefan Lossow, Michael Kiefer, Farahnaz Khosrawi, Dale Hurst, Holger Vömel, Karen Rosenlof, Bianca M. Dinelli, Piera Raspollini, Gerald E. Nedoluha, John C. Gille, Yasuko Kasai, Patrick Eriksson, Christopher E. Sioris, Kaley A. Walker, Katja Weigel, John P. Burrows, and Alexei Rozanov
Atmos. Meas. Tech., 15, 3377–3400, https://doi.org/10.5194/amt-15-3377-2022,https://doi.org/10.5194/amt-15-3377-2022, 2022
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09 Jun 2022
Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm
Stefan Noël, Maximilian Reuter, Michael Buchwitz, Jakob Borchardt, Michael Hilker, Oliver Schneising, Heinrich Bovensmann, John P. Burrows, Antonio Di Noia, Robert J. Parker, Hiroshi Suto, Yukio Yoshida, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, David W. T. Griffith, Frank Hase, Rigel Kivi, Cheng Liu, Isamu Morino, Justus Notholt, Young-Suk Oh, Hirofumi Ohyama, Christof Petri, David F. Pollard, Markus Rettinger, Coleen Roehl, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Mihalis Vrekoussis, and Thorsten Warneke
Atmos. Meas. Tech., 15, 3401–3437, https://doi.org/10.5194/amt-15-3401-2022,https://doi.org/10.5194/amt-15-3401-2022, 2022
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09 Jun 2022
Ground-based validation of the MetOp-A and MetOp-B GOME-2 OClO measurements
Gaia Pinardi, Michel Van Roozendael, François Hendrick, Andreas Richter, Pieter Valks, Ramina Alwarda, Kristof Bognar, Udo Frieß, José Granville, Myojeong Gu, Paul Johnston, Cristina Prados-Roman, Richard Querel, Kimberly Strong, Thomas Wagner, Folkard Wittrock, and Margarita Yela Gonzalez
Atmos. Meas. Tech., 15, 3439–3463, https://doi.org/10.5194/amt-15-3439-2022,https://doi.org/10.5194/amt-15-3439-2022, 2022
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10 Jun 2022
On the derivation of zonal and meridional wind components from Aeolus horizontal line-of-sight wind
Isabell Krisch, Neil P. Hindley, Oliver Reitebuch, and Corwin J. Wright
Atmos. Meas. Tech., 15, 3465–3479, https://doi.org/10.5194/amt-15-3465-2022,https://doi.org/10.5194/amt-15-3465-2022, 2022
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10 Jun 2022
Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 3: Bias estimate using synthetic and observational data
Arve Kylling, Claudia Emde, Huan Yu, Michel van Roozendael, Kerstin Stebel, Ben Veihelmann, and Bernhard Mayer
Atmos. Meas. Tech., 15, 3481–3495, https://doi.org/10.5194/amt-15-3481-2022,https://doi.org/10.5194/amt-15-3481-2022, 2022
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10 Jun 2022
Satellite measurements of peroxyacetyl nitrate from the Cross-Track Infrared Sounder: comparison with ATom aircraft measurements
Vivienne H. Payne, Susan S. Kulawik, Emily V. Fischer, Jared F. Brewer, L. Gregory Huey, Kazuyuki Miyazaki, John R. Worden, Kevin W. Bowman, Eric J. Hintsa, Fred Moore, James W. Elkins, and Julieta Juncosa Calahorrano
Atmos. Meas. Tech., 15, 3497–3511, https://doi.org/10.5194/amt-15-3497-2022,https://doi.org/10.5194/amt-15-3497-2022, 2022
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14 Jun 2022
Characterization of tandem aerosol classifiers for selecting particles: implication for eliminating the multiple charging effect
Yao Song, Xiangyu Pei, Huichao Liu, Jiajia Zhou, and Zhibin Wang
Atmos. Meas. Tech., 15, 3513–3526, https://doi.org/10.5194/amt-15-3513-2022,https://doi.org/10.5194/amt-15-3513-2022, 2022
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14 Jun 2022
Ozone Monitoring Instrument (OMI) collection 4: establishing a 17-year-long series of detrended level-1b data
Quintus Kleipool, Nico Rozemeijer, Mirna van Hoek, Jonatan Leloux, Erwin Loots, Antje Ludewig, Emiel van der Plas, Daley Adrichem, Raoul Harel, Simon Spronk, Mark ter Linden, Glen Jaross, David Haffner, Pepijn Veefkind, and Pieternel F. Levelt
Atmos. Meas. Tech., 15, 3527–3553, https://doi.org/10.5194/amt-15-3527-2022,https://doi.org/10.5194/amt-15-3527-2022, 2022
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14 Jun 2022
| Highlight paper
Determination of atmospheric column condensate using active and passive remote sensing technology
Huige Di, Yun Yuan, Qing Yan, Wenhui Xin, Shichun Li, Jun Wang, Yufeng Wang, Lei Zhang, and Dengxin Hua
Atmos. Meas. Tech., 15, 3555–3567, https://doi.org/10.5194/amt-15-3555-2022,https://doi.org/10.5194/amt-15-3555-2022, 2022
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14 Jun 2022
ERUO: a spectral processing routine for the Micro Rain Radar PRO (MRR-PRO)
Alfonso Ferrone, Anne-Claire Billault-Roux, and Alexis Berne
Atmos. Meas. Tech., 15, 3569–3592, https://doi.org/10.5194/amt-15-3569-2022,https://doi.org/10.5194/amt-15-3569-2022, 2022
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15 Jun 2022
Performance of open-path lasers and Fourier transform infrared spectroscopic systems in agriculture emissions research
Mei Bai, Zoe Loh, David W. T. Griffith, Debra Turner, Richard Eckard, Robert Edis, Owen T. Denmead, Glenn W. Bryant, Clare Paton-Walsh, Matthew Tonini, Sean M. McGinn, and Deli Chen
Atmos. Meas. Tech., 15, 3593–3610, https://doi.org/10.5194/amt-15-3593-2022,https://doi.org/10.5194/amt-15-3593-2022, 2022
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15 Jun 2022
Evaluation of two common source estimation measurement strategies using large-eddy simulation of plume dispersion under neutral atmospheric conditions
Anja Ražnjević, Chiel van Heerwaarden, and Maarten Krol
Atmos. Meas. Tech., 15, 3611–3628, https://doi.org/10.5194/amt-15-3611-2022,https://doi.org/10.5194/amt-15-3611-2022, 2022
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16 Jun 2022
An all-sky camera image classification method using cloud cover features
Xiaotong Li, Baozhu Wang, Bo Qiu, and Chao Wu
Atmos. Meas. Tech., 15, 3629–3639, https://doi.org/10.5194/amt-15-3629-2022,https://doi.org/10.5194/amt-15-3629-2022, 2022
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17 Jun 2022
Horizontal geometry of trade wind cumuli – aircraft observations from a shortwave infrared imager versus a radar profiler
Henning Dorff, Heike Konow, and Felix Ament
Atmos. Meas. Tech., 15, 3641–3661, https://doi.org/10.5194/amt-15-3641-2022,https://doi.org/10.5194/amt-15-3641-2022, 2022
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20 Jun 2022
Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals
Adrien Guyot, Alain Protat, Simon P. Alexander, Andrew R. Klekociuk, Peter Kuma, and Adrian McDonald
Atmos. Meas. Tech., 15, 3663–3681, https://doi.org/10.5194/amt-15-3663-2022,https://doi.org/10.5194/amt-15-3663-2022, 2022
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21 Jun 2022
An alternative cloud index for estimating downwelling surface solar irradiance from various satellite imagers in the framework of a Heliosat-V method
Benoît Tournadre, Benoît Gschwind, Yves-Marie Saint-Drenan, Xuemei Chen, Rodrigo Amaro E Silva, and Philippe Blanc
Atmos. Meas. Tech., 15, 3683–3704, https://doi.org/10.5194/amt-15-3683-2022,https://doi.org/10.5194/amt-15-3683-2022, 2022
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21 Jun 2022
A high-transmission axial ion mobility classifier for mass–mobility measurements of atmospheric ions
Markus Leiminger, Lukas Fischer, Sophia Brilke, Julian Resch, Paul Martin Winkler, Armin Hansel, and Gerhard Steiner
Atmos. Meas. Tech., 15, 3705–3720, https://doi.org/10.5194/amt-15-3705-2022,https://doi.org/10.5194/amt-15-3705-2022, 2022
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23 Jun 2022
An optimal estimation-based retrieval of upper atmospheric oxygen airglow and temperature from SCIAMACHY limb observations
Kang Sun, Mahdi Yousefi, Christopher Chan Miller, Kelly Chance, Gonzalo González Abad, Iouli E. Gordon, Xiong Liu, Ewan O'Sullivan, Christopher E. Sioris, and Steven C. Wofsy
Atmos. Meas. Tech., 15, 3721–3745, https://doi.org/10.5194/amt-15-3721-2022,https://doi.org/10.5194/amt-15-3721-2022, 2022
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23 Jun 2022
High-frequency gaseous and particulate chemical characterization using extractive electrospray ionization mass spectrometry (Dual-Phase-EESI-TOF)
Chuan Ping Lee, Mihnea Surdu, David M. Bell, Josef Dommen, Mao Xiao, Xueqin Zhou, Andrea Baccarini, Stamatios Giannoukos, Günther Wehrle, Pascal André Schneider, Andre S. H. Prevot, Jay G. Slowik, Houssni Lamkaddam, Dongyu Wang, Urs Baltensperger, and Imad El Haddad
Atmos. Meas. Tech., 15, 3747–3760, https://doi.org/10.5194/amt-15-3747-2022,https://doi.org/10.5194/amt-15-3747-2022, 2022
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23 Jun 2022
Cloud phase and macrophysical properties over the Southern Ocean during the MARCUS field campaign
Baike Xi, Xiquan Dong, Xiaojian Zheng, and Peng Wu
Atmos. Meas. Tech., 15, 3761–3777, https://doi.org/10.5194/amt-15-3761-2022,https://doi.org/10.5194/amt-15-3761-2022, 2022
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24 Jun 2022
Ch3MS-RF: a random forest model for chemical characterization and improved quantification of unidentified atmospheric organics detected by chromatography–mass spectrometry techniques
Emily B. Franklin, Lindsay D. Yee, Bernard Aumont, Robert J. Weber, Paul Grigas, and Allen H. Goldstein
Atmos. Meas. Tech., 15, 3779–3803, https://doi.org/10.5194/amt-15-3779-2022,https://doi.org/10.5194/amt-15-3779-2022, 2022
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27 Jun 2022
A dual-wavelength photothermal aerosol absorption monitor: design, calibration and performance
Luka Drinovec, Uroš Jagodič, Luka Pirker, Miha Škarabot, Mario Kurtjak, Kristijan Vidović, Luca Ferrero, Bradley Visser, Jannis Röhrbein, Ernest Weingartner, Daniel M. Kalbermatter, Konstantina Vasilatou, Tobias Bühlmann, Celine Pascale, Thomas Müller, Alfred Wiedensohler, and Griša Močnik
Atmos. Meas. Tech., 15, 3805–3825, https://doi.org/10.5194/amt-15-3805-2022,https://doi.org/10.5194/amt-15-3805-2022, 2022
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27 Jun 2022
Air quality observations onboard commercial and targeted Zeppelin flights in Germany – a platform for high-resolution trace-gas and aerosol measurements within the planetary boundary layer
Ralf Tillmann, Georgios I. Gkatzelis, Franz Rohrer, Benjamin Winter, Christian Wesolek, Tobias Schuldt, Anne C. Lange, Philipp Franke, Elmar Friese, Michael Decker, Robert Wegener, Morten Hundt, Oleg Aseev, and Astrid Kiendler-Scharr
Atmos. Meas. Tech., 15, 3827–3842, https://doi.org/10.5194/amt-15-3827-2022,https://doi.org/10.5194/amt-15-3827-2022, 2022
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28 Jun 2022
Hierarchical deconvolution for incoherent scatter radar data
Snizhana Ross, Arttu Arjas, Ilkka I. Virtanen, Mikko J. Sillanpää, Lassi Roininen, and Andreas Hauptmann
Atmos. Meas. Tech., 15, 3843–3857, https://doi.org/10.5194/amt-15-3843-2022,https://doi.org/10.5194/amt-15-3843-2022, 2022
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29 Jun 2022
Substantial organic impurities at the surface of synthetic ammonium sulfate particles
Junteng Wu, Nicolas Brun, Juan Miguel González-Sánchez, Badr R'Mili, Brice Temime Roussel, Sylvain Ravier, Jean-Louis Clément, and Anne Monod
Atmos. Meas. Tech., 15, 3859–3874, https://doi.org/10.5194/amt-15-3859-2022,https://doi.org/10.5194/amt-15-3859-2022, 2022
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01 Jul 2022
The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data
Edward Gryspeerdt, Daniel T. McCoy, Ewan Crosbie, Richard H. Moore, Graeme J. Nott, David Painemal, Jennifer Small-Griswold, Armin Sorooshian, and Luke Ziemba
Atmos. Meas. Tech., 15, 3875–3892, https://doi.org/10.5194/amt-15-3875-2022,https://doi.org/10.5194/amt-15-3875-2022, 2022
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01 Jul 2022
The surface longwave cloud radiative effect derived from space lidar observations
Assia Arouf, Hélène Chepfer, Thibault Vaillant de Guélis, Marjolaine Chiriaco, Matthew D. Shupe, Rodrigo Guzman, Artem Feofilov, Patrick Raberanto, Tristan S. L'Ecuyer, Seiji Kato, and Michael R. Gallagher
Atmos. Meas. Tech., 15, 3893–3923, https://doi.org/10.5194/amt-15-3893-2022,https://doi.org/10.5194/amt-15-3893-2022, 2022
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05 Jul 2022
A statistically optimal analysis of systematic differences between Aeolus horizontal line-of-sight winds and NOAA's Global Forecast System
Hui Liu, Kevin Garrett, Kayo Ide, Ross N. Hoffman, and Katherine E. Lukens
Atmos. Meas. Tech., 15, 3925–3940, https://doi.org/10.5194/amt-15-3925-2022,https://doi.org/10.5194/amt-15-3925-2022, 2022
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05 Jul 2022
Integrated airborne investigation of the air composition over the Russian sector of the Arctic
Boris D. Belan, Gerard Ancellet, Irina S. Andreeva, Pavel N. Antokhin, Viktoria G. Arshinova, Mikhail Y. Arshinov, Yurii S. Balin, Vladimir E. Barsuk, Sergei B. Belan, Dmitry G. Chernov, Denis K. Davydov, Alexander V. Fofonov, Georgii A. Ivlev, Sergei N. Kotel'nikov, Alexander S. Kozlov, Artem V. Kozlov, Katharine Law, Andrey V. Mikhal'chishin, Igor A. Moseikin, Sergei V. Nasonov, Philippe Nédélec, Olesya V. Okhlopkova, Sergei E. Ol'kin, Mikhail V. Panchenko, Jean-Daniel Paris, Iogannes E. Penner, Igor V. Ptashnik, Tatyana M. Rasskazchikova, Irina K. Reznikova, Oleg A. Romanovskii, Alexander S. Safatov, Denis E. Savkin, Denis V. Simonenkov, Tatyana K. Sklyadneva, Gennadii N. Tolmachev, Semyon V. Yakovlev, and Polina N. Zenkova
Atmos. Meas. Tech., 15, 3941–3967, https://doi.org/10.5194/amt-15-3941-2022,https://doi.org/10.5194/amt-15-3941-2022, 2022
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05 Jul 2022
Retrievals of ice microphysical properties using dual-wavelength polarimetric radar observations during stratiform precipitation events
Eleni Tetoni, Florian Ewald, Martin Hagen, Gregor Köcher, Tobias Zinner, and Silke Groß
Atmos. Meas. Tech., 15, 3969–3999, https://doi.org/10.5194/amt-15-3969-2022,https://doi.org/10.5194/amt-15-3969-2022, 2022
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07 Jul 2022
Testing the efficacy of atmospheric boundary layer height detection algorithms using uncrewed aircraft system data from MOSAiC
Gina Jozef, John Cassano, Sandro Dahlke, and Gijs de Boer
Atmos. Meas. Tech., 15, 4001–4022, https://doi.org/10.5194/amt-15-4001-2022,https://doi.org/10.5194/amt-15-4001-2022, 2022
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07 Jul 2022
Instabilities, Dynamics, and Energetics accompanying Atmospheric Layering (IDEAL): high-resolution in situ observations and modeling in and above the nocturnal boundary layer
Abhiram Doddi, Dale Lawrence, David Fritts, Ling Wang, Thomas Lund, William Brown, Dragan Zajic, and Lakshmi Kantha
Atmos. Meas. Tech., 15, 4023–4045, https://doi.org/10.5194/amt-15-4023-2022,https://doi.org/10.5194/amt-15-4023-2022, 2022
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08 Jul 2022
A study on the performance of low-cost sensors for source apportionment at an urban background site
Dimitrios Bousiotis, David C. S. Beddows, Ajit Singh, Molly Haugen, Sebastián Diez, Pete M. Edwards, Adam Boies, Roy M. Harrison, and Francis D. Pope
Atmos. Meas. Tech., 15, 4047–4061, https://doi.org/10.5194/amt-15-4047-2022,https://doi.org/10.5194/amt-15-4047-2022, 2022
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08 Jul 2022
On the influence of underlying elevation data on Sentinel-5 Precursor TROPOMI satellite methane retrievals over Greenland
Jonas Hachmeister, Oliver Schneising, Michael Buchwitz, Alba Lorente, Tobias Borsdorff, John P. Burrows, Justus Notholt, and Matthias Buschmann
Atmos. Meas. Tech., 15, 4063–4074, https://doi.org/10.5194/amt-15-4063-2022,https://doi.org/10.5194/amt-15-4063-2022, 2022
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12 Jul 2022
Contactless optical hygrometry in LACIS-T
Jakub L. Nowak, Robert Grosz, Wiebke Frey, Dennis Niedermeier, Jędrzej Mijas, Szymon P. Malinowski, Linda Ort, Silvio Schmalfuß, Frank Stratmann, Jens Voigtländer, and Tadeusz Stacewicz
Atmos. Meas. Tech., 15, 4075–4089, https://doi.org/10.5194/amt-15-4075-2022,https://doi.org/10.5194/amt-15-4075-2022, 2022
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13 Jul 2022
Air pollution measurement errors: is your data fit for purpose?
Sebastian Diez, Stuart E. Lacy, Thomas J. Bannan, Michael Flynn, Tom Gardiner, David Harrison, Nicholas Marsden, Nicholas A. Martin, Katie Read, and Pete M. Edwards
Atmos. Meas. Tech., 15, 4091–4105, https://doi.org/10.5194/amt-15-4091-2022,https://doi.org/10.5194/amt-15-4091-2022, 2022
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15 Jul 2022
Evaluation of Aeolus L2B wind product with wind profiling radar measurements and numerical weather prediction model equivalents over Australia
Haichen Zuo, Charlotte Bay Hasager, Ioanna Karagali, Ad Stoffelen, Gert-Jan Marseille, and Jos de Kloe
Atmos. Meas. Tech., 15, 4107–4124, https://doi.org/10.5194/amt-15-4107-2022,https://doi.org/10.5194/amt-15-4107-2022, 2022
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15 Jul 2022
Comparison of global UV spectral irradiance measurements between a BTS CCD-array and a Brewer spectroradiometer
Carmen González, José M. Vilaplana, José A. Bogeat, and Antonio Serrano
Atmos. Meas. Tech., 15, 4125–4133, https://doi.org/10.5194/amt-15-4125-2022,https://doi.org/10.5194/amt-15-4125-2022, 2022
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20 Jul 2022
Employing relaxed smoothness constraints on imaginary part of refractive index in AERONET aerosol retrieval algorithm
Alexander Sinyuk, Brent N. Holben, Thomas F. Eck, David M. Giles, Ilya Slutsker, Oleg Dubovik, Joel S. Schafer, Alexander Smirnov, and Mikhail Sorokin
Atmos. Meas. Tech., 15, 4135–4151, https://doi.org/10.5194/amt-15-4135-2022,https://doi.org/10.5194/amt-15-4135-2022, 2022
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20 Jul 2022
Inter-comparison of atmospheric boundary layer (ABL) height estimates from different profiling sensors and models in the framework of HyMeX-SOP1
Donato Summa, Fabio Madonna, Noemi Franco, Benedetto De Rosa, and Paolo Di Girolamo
Atmos. Meas. Tech., 15, 4153–4170, https://doi.org/10.5194/amt-15-4153-2022,https://doi.org/10.5194/amt-15-4153-2022, 2022
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20 Jul 2022
Retrieval of the sea spray aerosol mode from submicron particle size distributions and supermicron scattering during LASIC
Jeramy L. Dedrick, Georges Saliba, Abigail S. Williams, Lynn M. Russell, and Dan Lubin
Atmos. Meas. Tech., 15, 4171–4194, https://doi.org/10.5194/amt-15-4171-2022,https://doi.org/10.5194/amt-15-4171-2022, 2022
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20 Jul 2022
Automated identification of local contamination in remote atmospheric composition time series
Ivo Beck, Hélène Angot, Andrea Baccarini, Lubna Dada, Lauriane Quéléver, Tuija Jokinen, Tiia Laurila, Markus Lampimäki, Nicolas Bukowiecki, Matthew Boyer, Xianda Gong, Martin Gysel-Beer, Tuukka Petäjä, Jian Wang, and Julia Schmale
Atmos. Meas. Tech., 15, 4195–4224, https://doi.org/10.5194/amt-15-4195-2022,https://doi.org/10.5194/amt-15-4195-2022, 2022
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21 Jul 2022
Locations for the best lidar view of mid-level and high clouds
Matthias Tesche and Vincent Noel
Atmos. Meas. Tech., 15, 4225–4240, https://doi.org/10.5194/amt-15-4225-2022,https://doi.org/10.5194/amt-15-4225-2022, 2022
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22 Jul 2022
The impact of aerosol fluorescence on long-term water vapor monitoring by Raman lidar and evaluation of a potential correction method
Fernando Chouza, Thierry Leblanc, Mark Brewer, Patrick Wang, Giovanni Martucci, Alexander Haefele, Hélène Vérèmes, Valentin Duflot, Guillaume Payen, and Philippe Keckhut
Atmos. Meas. Tech., 15, 4241–4256, https://doi.org/10.5194/amt-15-4241-2022,https://doi.org/10.5194/amt-15-4241-2022, 2022
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27 Jul 2022
High-resolution satellite-based cloud detection for the analysis of land surface effects on boundary layer clouds
Julia Fuchs, Hendrik Andersen, Jan Cermak, Eva Pauli, and Rob Roebeling
Atmos. Meas. Tech., 15, 4257–4270, https://doi.org/10.5194/amt-15-4257-2022,https://doi.org/10.5194/amt-15-4257-2022, 2022
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27 Jul 2022
A quadcopter unmanned aerial system (UAS)-based methodology for measuring biomass burning emission factors
Roland Vernooij, Patrik Winiger, Martin Wooster, Tercia Strydom, Laurent Poulain, Ulrike Dusek, Mark Grosvenor, Gareth J. Roberts, Nick Schutgens, and Guido R. van der Werf
Atmos. Meas. Tech., 15, 4271–4294, https://doi.org/10.5194/amt-15-4271-2022,https://doi.org/10.5194/amt-15-4271-2022, 2022
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28 Jul 2022
Temperature-dependent sensitivity of iodide chemical ionization mass spectrometers
Michael A. Robinson, J. Andrew Neuman, L. Gregory Huey, James M. Roberts, Steven S. Brown, and Patrick R. Veres
Atmos. Meas. Tech., 15, 4295–4305, https://doi.org/10.5194/amt-15-4295-2022,https://doi.org/10.5194/amt-15-4295-2022, 2022
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28 Jul 2022
Impact of the revisit frequency on cloud climatology for CALIPSO, EarthCARE, Aeolus, and ICESat-2 satellite lidar missions
Andrzej Z. Kotarba
Atmos. Meas. Tech., 15, 4307–4322, https://doi.org/10.5194/amt-15-4307-2022,https://doi.org/10.5194/amt-15-4307-2022, 2022
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29 Jul 2022
Performance evaluation for retrieving aerosol optical depth from the Directional Polarimetric Camera (DPC) based on the GRASP algorithm
Shikuan Jin, Yingying Ma, Cheng Chen, Oleg Dubovik, Jin Hong, Boming Liu, and Wei Gong
Atmos. Meas. Tech., 15, 4323–4337, https://doi.org/10.5194/amt-15-4323-2022,https://doi.org/10.5194/amt-15-4323-2022, 2022
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29 Jul 2022
Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products
Matthias Schneider, Benjamin Ertl, Qiansi Tu, Christopher J. Diekmann, Farahnaz Khosrawi, Amelie N. Röhling, Frank Hase, Darko Dubravica, Omaira E. García, Eliezer Sepúlveda, Tobias Borsdorff, Jochen Landgraf, Alba Lorente, André Butz, Huilin Chen, Rigel Kivi, Thomas Laemmel, Michel Ramonet, Cyril Crevoisier, Jérome Pernin, Martin Steinbacher, Frank Meinhardt, Kimberly Strong, Debra Wunch, Thorsten Warneke, Coleen Roehl, Paul O. Wennberg, Isamu Morino, Laura T. Iraci, Kei Shiomi, Nicholas M. Deutscher, David W. T. Griffith, Voltaire A. Velazco, and David F. Pollard
Atmos. Meas. Tech., 15, 4339–4371, https://doi.org/10.5194/amt-15-4339-2022,https://doi.org/10.5194/amt-15-4339-2022, 2022
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29 Jul 2022
Development and testing of a novel sulfur dioxide sonde
Subin Yoon, Alexander Kotsakis, Sergio L. Alvarez, Mark G. Spychala, Elizabeth Klovenski, Paul Walter, Gary Morris, Ernesto Corrales, Alfredo Alan, Jorge A. Diaz, and James H. Flynn
Atmos. Meas. Tech., 15, 4373–4384, https://doi.org/10.5194/amt-15-4373-2022,https://doi.org/10.5194/amt-15-4373-2022, 2022
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29 Jul 2022
Combined application of online FIGAERO-CIMS and offline LC-Orbitrap mass spectrometry (MS) to characterize the chemical composition of secondary organic aerosol (SOA) in smog chamber studies
Mao Du, Aristeidis Voliotis, Yunqi Shao, Yu Wang, Thomas J. Bannan, Kelly L. Pereira, Jacqueline F. Hamilton, Carl J. Percival, M. Rami Alfarra, and Gordon McFiggans
Atmos. Meas. Tech., 15, 4385–4406, https://doi.org/10.5194/amt-15-4385-2022,https://doi.org/10.5194/amt-15-4385-2022, 2022
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29 Jul 2022
Comment on “Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products” by Schneider et al. (2022)
Simone Ceccherini
Atmos. Meas. Tech., 15, 4407–4410, https://doi.org/10.5194/amt-15-4407-2022,https://doi.org/10.5194/amt-15-4407-2022, 2022
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02 Aug 2022
A kriging-based analysis of cloud liquid water content using CloudSat data
Jean-Marie Lalande, Guillaume Bourmaud, Pierre Minvielle, and Jean-François Giovannelli
Atmos. Meas. Tech., 15, 4411–4429, https://doi.org/10.5194/amt-15-4411-2022,https://doi.org/10.5194/amt-15-4411-2022, 2022
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02 Aug 2022
Improvements of a low-cost CO2 commercial nondispersive near-infrared (NDIR) sensor for unmanned aerial vehicle (UAV) atmospheric mapping applications
Yunsong Liu, Jean-Daniel Paris, Mihalis Vrekoussis, Panayiota Antoniou, Christos Constantinides, Maximilien Desservettaz, Christos Keleshis, Olivier Laurent, Andreas Leonidou, Carole Philippon, Panagiotis Vouterakos, Pierre-Yves Quéhé, Philippe Bousquet, and Jean Sciare
Atmos. Meas. Tech., 15, 4431–4442, https://doi.org/10.5194/amt-15-4431-2022,https://doi.org/10.5194/amt-15-4431-2022, 2022
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02 Aug 2022
Validation of the Aeolus Level-2B wind product over Northern Canada and the Arctic
Chih-Chun Chou, Paul J. Kushner, Stéphane Laroche, Zen Mariani, Peter Rodriguez, Stella Melo, and Christopher G. Fletcher
Atmos. Meas. Tech., 15, 4443–4461, https://doi.org/10.5194/amt-15-4443-2022,https://doi.org/10.5194/amt-15-4443-2022, 2022
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02 Aug 2022
Cavity ring-down spectroscopy of water vapor in the deep-blue region
Qing-Ying Yang, Eamon K. Conway, Hui Liang, Iouli E. Gordon, Yan Tan, and Shui-Ming Hu
Atmos. Meas. Tech., 15, 4463–4472, https://doi.org/10.5194/amt-15-4463-2022,https://doi.org/10.5194/amt-15-4463-2022, 2022
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03 Aug 2022
Development of a broadband cavity-enhanced absorption spectrometer for simultaneous measurements of ambient NO3, NO2, and H2O
Woohui Nam, Changmin Cho, Begie Perdigones, Tae Siek Rhee, and Kyung-Eun Min
Atmos. Meas. Tech., 15, 4473–4487, https://doi.org/10.5194/amt-15-4473-2022,https://doi.org/10.5194/amt-15-4473-2022, 2022
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04 Aug 2022
Polarization performance simulation for the GeoXO atmospheric composition instrument: NO2 retrieval impacts
Aaron Pearlman, Monica Cook, Boryana Efremova, Francis Padula, Lok Lamsal, Joel McCorkel, and Joanna Joiner
Atmos. Meas. Tech., 15, 4489–4501, https://doi.org/10.5194/amt-15-4489-2022,https://doi.org/10.5194/amt-15-4489-2022, 2022
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09 Aug 2022
Horizontal distribution of tropospheric NO2 and aerosols derived by dual-scan multi-wavelength multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Belgium
Ermioni Dimitropoulou, François Hendrick, Martina Michaela Friedrich, Frederik Tack, Gaia Pinardi, Alexis Merlaud, Caroline Fayt, Christian Hermans, Frans Fierens, and Michel Van Roozendael
Atmos. Meas. Tech., 15, 4503–4529, https://doi.org/10.5194/amt-15-4503-2022,https://doi.org/10.5194/amt-15-4503-2022, 2022
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10 Aug 2022
On the use of high-frequency surface wave oceanographic research radars as bistatic single-frequency oblique ionospheric sounders
Stephen R. Kaeppler, Ethan S. Miller, Daniel Cole, and Teresa Updyke
Atmos. Meas. Tech., 15, 4531–4545, https://doi.org/10.5194/amt-15-4531-2022,https://doi.org/10.5194/amt-15-4531-2022, 2022
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11 Aug 2022
Impact of instrumental line shape characterization on ozone monitoring by FTIR spectrometry
Omaira E. García, Esther Sanromá, Frank Hase, Matthias Schneider, Sergio Fabián León-Luis, Thomas Blumenstock, Eliezer Sepúlveda, Carlos Torres, Natalia Prats, Alberto Redondas, and Virgilio Carreño
Atmos. Meas. Tech., 15, 4547–4567, https://doi.org/10.5194/amt-15-4547-2022,https://doi.org/10.5194/amt-15-4547-2022, 2022
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12 Aug 2022
Correcting for filter-based aerosol light absorption biases at the Atmospheric Radiation Measurement program's Southern Great Plains site using photoacoustic measurements and machine learning
Joshin Kumar, Theo Paik, Nishit J. Shetty, Patrick Sheridan, Allison C. Aiken, Manvendra K. Dubey, and Rajan K. Chakrabarty
Atmos. Meas. Tech., 15, 4569–4583, https://doi.org/10.5194/amt-15-4569-2022,https://doi.org/10.5194/amt-15-4569-2022, 2022
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15 Aug 2022
Behavior and mechanisms of Doppler wind lidar error in varying stability regimes
Rachel Robey and Julie K. Lundquist
Atmos. Meas. Tech., 15, 4585–4622, https://doi.org/10.5194/amt-15-4585-2022,https://doi.org/10.5194/amt-15-4585-2022, 2022
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15 Aug 2022
Evaluation of the High Altitude Lidar Observatory (HALO) methane retrievals during the summer 2019 ACT-America campaign
Rory A. Barton-Grimley, Amin R. Nehrir, Susan A. Kooi, James E. Collins, David B. Harper, Anthony Notari, Joseph Lee, Joshua P. DiGangi, Yonghoon Choi, and Kenneth J. Davis
Atmos. Meas. Tech., 15, 4623–4650, https://doi.org/10.5194/amt-15-4623-2022,https://doi.org/10.5194/amt-15-4623-2022, 2022
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15 Aug 2022
Measurement of enantiomer percentages for five monoterpenes from six conifer species by cartridge-tube-based passive sampling adsorption–thermal desorption (ps-ATD)
Ying Wang, Wentai Luo, Todd N. Rosenstiel, and James F. Pankow
Atmos. Meas. Tech., 15, 4651–4661, https://doi.org/10.5194/amt-15-4651-2022,https://doi.org/10.5194/amt-15-4651-2022, 2022
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16 Aug 2022
Modelling ultrafine particle growth in a flow tube reactor
Michael S. Taylor Jr., Devon N. Higgins, and Murray V. Johnston
Atmos. Meas. Tech., 15, 4663–4674, https://doi.org/10.5194/amt-15-4663-2022,https://doi.org/10.5194/amt-15-4663-2022, 2022
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17 Aug 2022
Combined organic and inorganic source apportionment on yearlong ToF-ACSM dataset at a suburban station in Athens
Olga Zografou, Maria Gini, Manousos I. Manousakas, Gang Chen, Athina C. Kalogridis, Evangelia Diapouli, Athina Pappa, and Konstantinos Eleftheriadis
Atmos. Meas. Tech., 15, 4675–4692, https://doi.org/10.5194/amt-15-4675-2022,https://doi.org/10.5194/amt-15-4675-2022, 2022
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19 Aug 2022
Design and fabrication of an electrostatic precipitator for infrared spectroscopy
Nikunj Dudani and Satoshi Takahama
Atmos. Meas. Tech., 15, 4693–4707, https://doi.org/10.5194/amt-15-4693-2022,https://doi.org/10.5194/amt-15-4693-2022, 2022
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19 Aug 2022
Balloon-borne aerosol–cloud interaction studies (BACIS): field campaigns to understand and quantify aerosol effects on clouds
Varaha Ravi Kiran, Madineni Venkat Ratnam, Masatomo Fujiwara, Herman Russchenberg, Frank G. Wienhold, Bomidi Lakshmi Madhavan, Mekalathur Roja Raman, Renju Nandan, Sivan Thankamani Akhil Raj, Alladi Hemanth Kumar, and Saginela Ravindra Babu
Atmos. Meas. Tech., 15, 4709–4734, https://doi.org/10.5194/amt-15-4709-2022,https://doi.org/10.5194/amt-15-4709-2022, 2022
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22 Aug 2022
Comparison of planetary boundary layer height from ceilometer with ARM radiosonde data
Damao Zhang, Jennifer Comstock, and Victor Morris
Atmos. Meas. Tech., 15, 4735–4749, https://doi.org/10.5194/amt-15-4735-2022,https://doi.org/10.5194/amt-15-4735-2022, 2022
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22 Aug 2022
Evaluation of MOPITT and TROPOMI carbon monoxide retrievals using AirCore in situ vertical profiles
Sara Martínez-Alonso, Merritt N. Deeter, Bianca C. Baier, Kathryn McKain, Helen Worden, Tobias Borsdorff, Colm Sweeney, and Ilse Aben
Atmos. Meas. Tech., 15, 4751–4765, https://doi.org/10.5194/amt-15-4751-2022,https://doi.org/10.5194/amt-15-4751-2022, 2022
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23 Aug 2022
Intercomparison of upper tropospheric and lower stratospheric water vapor measurements over the Asian Summer Monsoon during the StratoClim campaign
Clare E. Singer, Benjamin W. Clouser, Sergey M. Khaykin, Martina Krämer, Francesco Cairo, Thomas Peter, Alexey Lykov, Christian Rolf, Nicole Spelten, Armin Afchine, Simone Brunamonti, and Elisabeth J. Moyer
Atmos. Meas. Tech., 15, 4767–4783, https://doi.org/10.5194/amt-15-4767-2022,https://doi.org/10.5194/amt-15-4767-2022, 2022
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24 Aug 2022
Turbulence parameters measured by the Beijing mesosphere–stratosphere–troposphere radar in the troposphere and lower stratosphere with three models: comparison and analyses
Ze Chen, Yufang Tian, Yinan Wang, Yongheng Bi, Xue Wu, Juan Huo, Linjun Pan, Yong Wang, and Daren Lü
Atmos. Meas. Tech., 15, 4785–4800, https://doi.org/10.5194/amt-15-4785-2022,https://doi.org/10.5194/amt-15-4785-2022, 2022
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24 Aug 2022
Improved retrieval of SO2 plume height from TROPOMI using an iterative Covariance-Based Retrieval Algorithm
Nicolas Theys, Christophe Lerot, Hugues Brenot, Jeroen van Gent, Isabelle De Smedt, Lieven Clarisse, Mike Burton, Matthew Varnam, Catherine Hayer, Benjamin Esse, and Michel Van Roozendael
Atmos. Meas. Tech., 15, 4801–4817, https://doi.org/10.5194/amt-15-4801-2022,https://doi.org/10.5194/amt-15-4801-2022, 2022
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24 Aug 2022
Monitoring greenhouse gases (GHGs) in China: status and perspective
Youwen Sun, Hao Yin, Wei Wang, Changgong Shan, Justus Notholt, Mathias Palm, Ke Liu, Zhenyi Chen, and Cheng Liu
Atmos. Meas. Tech., 15, 4819–4834, https://doi.org/10.5194/amt-15-4819-2022,https://doi.org/10.5194/amt-15-4819-2022, 2022
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25 Aug 2022
The Space Carbon Observatory (SCARBO) concept: assessment of XCO2 and XCH4 retrieval performance
Matthieu Dogniaux, Cyril Crevoisier, Silvère Gousset, Étienne Le Coarer, Yann Ferrec, Laurence Croizé, Lianghai Wu, Otto Hasekamp, Bojan Sic, and Laure Brooker
Atmos. Meas. Tech., 15, 4835–4858, https://doi.org/10.5194/amt-15-4835-2022,https://doi.org/10.5194/amt-15-4835-2022, 2022
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25 Aug 2022
Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean
Meng Gao, Kirk Knobelspiesse, Bryan A. Franz, Peng-Wang Zhai, Andrew M. Sayer, Amir Ibrahim, Brian Cairns, Otto Hasekamp, Yongxiang Hu, Vanderlei Martins, P. Jeremy Werdell, and Xiaoguang Xu
Atmos. Meas. Tech., 15, 4859–4879, https://doi.org/10.5194/amt-15-4859-2022,https://doi.org/10.5194/amt-15-4859-2022, 2022
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29 Aug 2022
Combining Mie–Raman and fluorescence observations: a step forward in aerosol classification with lidar technology
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Boris Barchunov, and Mikhail Korenskii
Atmos. Meas. Tech., 15, 4881–4900, https://doi.org/10.5194/amt-15-4881-2022,https://doi.org/10.5194/amt-15-4881-2022, 2022
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29 Aug 2022
Comparison of airborne measurements of NO, NO2, HONO, NOy, and CO during FIREX-AQ
Ilann Bourgeois, Jeff Peischl, J. Andrew Neuman, Steven S. Brown, Hannah M. Allen, Pedro Campuzano-Jost, Matthew M. Coggon, Joshua P. DiGangi, Glenn S. Diskin, Jessica B. Gilman, Georgios I. Gkatzelis, Hongyu Guo, Hannah A. Halliday, Thomas F. Hanisco, Christopher D. Holmes, L. Gregory Huey, Jose L. Jimenez, Aaron D. Lamplugh, Young Ro Lee, Jakob Lindaas, Richard H. Moore, Benjamin A. Nault, John B. Nowak, Demetrios Pagonis, Pamela S. Rickly, Michael A. Robinson, Andrew W. Rollins, Vanessa Selimovic, Jason M. St. Clair, David Tanner, Krystal T. Vasquez, Patrick R. Veres, Carsten Warneke, Paul O. Wennberg, Rebecca A. Washenfelder, Elizabeth B. Wiggins, Caroline C. Womack, Lu Xu, Kyle J. Zarzana, and Thomas B. Ryerson
Atmos. Meas. Tech., 15, 4901–4930, https://doi.org/10.5194/amt-15-4901-2022,https://doi.org/10.5194/amt-15-4901-2022, 2022
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30 Aug 2022
Optimizing radar scan strategies for tracking isolated deep convection using observing system simulation experiments
Mariko Oue, Stephen M. Saleeby, Peter J. Marinescu, Pavlos Kollias, and Susan C. van den Heever
Atmos. Meas. Tech., 15, 4931–4950, https://doi.org/10.5194/amt-15-4931-2022,https://doi.org/10.5194/amt-15-4931-2022, 2022
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30 Aug 2022
Sensitivity analysis of DSD retrievals from polarimetric radar in stratiform rain based on the μ–Λ relationship
Christos Gatidis, Marc Schleiss, and Christine Unal
Atmos. Meas. Tech., 15, 4951–4969, https://doi.org/10.5194/amt-15-4951-2022,https://doi.org/10.5194/amt-15-4951-2022, 2022
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30 Aug 2022
An assessment of reprocessed GPS/MET observations spanning 1995–1997
Anthony J. Mannucci, Chi O. Ao, Byron A. Iijima, Thomas K. Meehan, Panagiotis Vergados, E. Robert Kursinski, and William S. Schreiner
Atmos. Meas. Tech., 15, 4971–4987, https://doi.org/10.5194/amt-15-4971-2022,https://doi.org/10.5194/amt-15-4971-2022, 2022
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30 Aug 2022
Detection and analysis of cloud boundary in Xi'an, China, employing 35 GHz cloud radar aided by 1064 nm lidar
Yun Yuan, Huige Di, Yuanyuan Liu, Tao Yang, Qimeng Li, Qing Yan, Wenhui Xin, Shichun Li, and Dengxin Hua
Atmos. Meas. Tech., 15, 4989–5006, https://doi.org/10.5194/amt-15-4989-2022,https://doi.org/10.5194/amt-15-4989-2022, 2022
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01 Sep 2022
Characterization of a modified printed optical particle spectrometer for high-frequency and high-precision laboratory and field measurements
Sabin Kasparoglu, Mohammad Maksimul Islam, Nicholas Meskhidze, and Markus D. Petters
Atmos. Meas. Tech., 15, 5007–5018, https://doi.org/10.5194/amt-15-5007-2022,https://doi.org/10.5194/amt-15-5007-2022, 2022
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01 Sep 2022
Real-world wintertime CO, N2O, and CO2 emissions of a central European village
László Haszpra, Zoltán Barcza, Zita Ferenczi, Roland Hollós, Anikó Kern, and Natascha Kljun
Atmos. Meas. Tech., 15, 5019–5031, https://doi.org/10.5194/amt-15-5019-2022,https://doi.org/10.5194/amt-15-5019-2022, 2022
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02 Sep 2022
GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm
Simon Pfreundschuh, Paula J. Brown, Christian D. Kummerow, Patrick Eriksson, and Teodor Norrestad​​​​​​​
Atmos. Meas. Tech., 15, 5033–5060, https://doi.org/10.5194/amt-15-5033-2022,https://doi.org/10.5194/amt-15-5033-2022, 2022
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05 Sep 2022
Comprehensive detection of analytes in large chromatographic datasets by coupling factor analysis with a decision tree
Sungwoo Kim, Brian M. Lerner, Donna T. Sueper, and Gabriel Isaacman-VanWertz
Atmos. Meas. Tech., 15, 5061–5075, https://doi.org/10.5194/amt-15-5061-2022,https://doi.org/10.5194/amt-15-5061-2022, 2022
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06 Sep 2022
Top-of-the-atmosphere reflected shortwave radiative fluxes from GOES-R
Rachel T. Pinker, Yingtao Ma, Wen Chen, Istvan Laszlo, Hongqing Liu, Hye-Yun Kim, and Jaime Daniels
Atmos. Meas. Tech., 15, 5077–5094, https://doi.org/10.5194/amt-15-5077-2022,https://doi.org/10.5194/amt-15-5077-2022, 2022
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07 Sep 2022
Passive ground-based remote sensing of radiation fog
Heather Guy, David D. Turner, Von P. Walden, Ian M. Brooks, and Ryan R. Neely
Atmos. Meas. Tech., 15, 5095–5115, https://doi.org/10.5194/amt-15-5095-2022,https://doi.org/10.5194/amt-15-5095-2022, 2022
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08 Sep 2022
Characterization of inexpensive metal oxide sensor performance for trace methane detection
Daniel Furuta, Tofigh Sayahi, Jinsheng Li, Bruce Wilson, Albert A. Presto, and Jiayu Li
Atmos. Meas. Tech., 15, 5117–5128, https://doi.org/10.5194/amt-15-5117-2022,https://doi.org/10.5194/amt-15-5117-2022, 2022
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09 Sep 2022
Validation of Copernicus Sentinel-3/OLCI Level 2 Land Integrated Water Vapour product
Niilo Kalakoski, Viktoria F. Sofieva, René Preusker, Claire Henocq, Matthieu Denisselle, Steffen Dransfeld, and Silvia Scifoni
Atmos. Meas. Tech., 15, 5129–5140, https://doi.org/10.5194/amt-15-5129-2022,https://doi.org/10.5194/amt-15-5129-2022, 2022
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13 Sep 2022
Ice crystal images from optical array probes: classification with convolutional neural networks
Louis Jaffeux, Alfons Schwarzenböck, Pierre Coutris, and Christophe Duroure
Atmos. Meas. Tech., 15, 5141–5157, https://doi.org/10.5194/amt-15-5141-2022,https://doi.org/10.5194/amt-15-5141-2022, 2022
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13 Sep 2022
Extending water vapor measurement capability of photon-limited differential absorption lidars through simultaneous denoising and inversion
Willem J. Marais and Matthew Hayman
Atmos. Meas. Tech., 15, 5159–5180, https://doi.org/10.5194/amt-15-5159-2022,https://doi.org/10.5194/amt-15-5159-2022, 2022
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14 Sep 2022
Segmentation-based multi-pixel cloud optical thickness retrieval using a convolutional neural network
Vikas Nataraja, Sebastian Schmidt, Hong Chen, Takanobu Yamaguchi, Jan Kazil, Graham Feingold, Kevin Wolf, and Hironobu Iwabuchi
Atmos. Meas. Tech., 15, 5181–5205, https://doi.org/10.5194/amt-15-5181-2022,https://doi.org/10.5194/amt-15-5181-2022, 2022
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15 Sep 2022
Thermal–optical analysis of quartz fiber filters loaded with snow samples – determination of iron based on interferences caused by mineral dust
Daniela Kau, Marion Greilinger, Bernadette Kirchsteiger, Aron Göndör, Christopher Herzig, Andreas Limbeck, Elisabeth Eitenberger, and Anne Kasper-Giebl
Atmos. Meas. Tech., 15, 5207–5217, https://doi.org/10.5194/amt-15-5207-2022,https://doi.org/10.5194/amt-15-5207-2022, 2022
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15 Sep 2022
On the potential of a neural-network-based approach for estimating XCO2 from OCO-2 measurements
François-Marie Bréon, Leslie David, Pierre Chatelanaz, and Frédéric Chevallier
Atmos. Meas. Tech., 15, 5219–5234, https://doi.org/10.5194/amt-15-5219-2022,https://doi.org/10.5194/amt-15-5219-2022, 2022
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16 Sep 2022
Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra
Travis N. Knepp, Larry Thomason, Mahesh Kovilakam, Jason Tackett, Jayanta Kar, Robert Damadeo, and David Flittner
Atmos. Meas. Tech., 15, 5235–5260, https://doi.org/10.5194/amt-15-5235-2022,https://doi.org/10.5194/amt-15-5235-2022, 2022
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16 Sep 2022
Complementing XCO2 imagery with ground-based CO2 and 14CO2 measurements to monitor CO2 emissions from fossil fuels on a regional to local scale
Elise Potier, Grégoire Broquet, Yilong Wang, Diego Santaren, Antoine Berchet, Isabelle Pison, Julia Marshall, Philippe Ciais, François-Marie Bréon, and Frédéric Chevallier
Atmos. Meas. Tech., 15, 5261–5288, https://doi.org/10.5194/amt-15-5261-2022,https://doi.org/10.5194/amt-15-5261-2022, 2022
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19 Sep 2022
Extended validation and evaluation of the OLCI–SLSTR SYNERGY aerosol product (SY_2_AOD) on Sentinel-3
Larisa Sogacheva, Matthieu Denisselle, Pekka Kolmonen, Timo H. Virtanen, Peter North, Claire Henocq, Silvia Scifoni, and Steffen Dransfeld
Atmos. Meas. Tech., 15, 5289–5322, https://doi.org/10.5194/amt-15-5289-2022,https://doi.org/10.5194/amt-15-5289-2022, 2022
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20 Sep 2022
Quantification of motion-induced measurement error on floating lidar systems
Felix Kelberlau and Jakob Mann
Atmos. Meas. Tech., 15, 5323–5341, https://doi.org/10.5194/amt-15-5323-2022,https://doi.org/10.5194/amt-15-5323-2022, 2022
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21 Sep 2022
Identifying cloud droplets beyond lidar attenuation from vertically pointing cloud radar observations using artificial neural networks
Willi Schimmel, Heike Kalesse-Los, Maximilian Maahn, Teresa Vogl, Andreas Foth, Pablo Saavedra Garfias, and Patric Seifert
Atmos. Meas. Tech., 15, 5343–5366, https://doi.org/10.5194/amt-15-5343-2022,https://doi.org/10.5194/amt-15-5343-2022, 2022
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21 Sep 2022
The Microfluidic Ice Nuclei Counter Zürich (MINCZ): a platform for homogeneous and heterogeneous ice nucleation
Florin N. Isenrich, Nadia Shardt, Michael Rösch, Julia Nette, Stavros Stavrakis, Claudia Marcolli, Zamin A. Kanji, Andrew J. deMello, and Ulrike Lohmann
Atmos. Meas. Tech., 15, 5367–5381, https://doi.org/10.5194/amt-15-5367-2022,https://doi.org/10.5194/amt-15-5367-2022, 2022
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22 Sep 2022
TROPESS/CrIS carbon monoxide profile validation with NOAA GML and ATom in situ aircraft observations
Helen M. Worden, Gene L. Francis, Susan S. Kulawik, Kevin W. Bowman, Karen Cady-Pereira, Dejian Fu, Jennifer D. Hegarty, Valentin Kantchev, Ming Luo, Vivienne H. Payne, John R. Worden, Róisín Commane, and Kathryn McKain
Atmos. Meas. Tech., 15, 5383–5398, https://doi.org/10.5194/amt-15-5383-2022,https://doi.org/10.5194/amt-15-5383-2022, 2022
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22 Sep 2022
Updated spectral radiance calibration on TIR bands for TANSO-FTS-2 onboard GOSAT-2
Hiroshi Suto, Fumie Kataoka, Robert O. Knuteson, Kei Shiomi, Nobuhiro Kikuchi, and Akihiko Kuze
Atmos. Meas. Tech., 15, 5399–5413, https://doi.org/10.5194/amt-15-5399-2022,https://doi.org/10.5194/amt-15-5399-2022, 2022
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26 Sep 2022
An optimal estimation algorithm for the retrieval of fog and low cloud thermodynamic and micro-physical properties
Alistair Bell, Pauline Martinet, Olivier Caumont, Frédéric Burnet, Julien Delanoë, Susana Jorquera, Yann Seity, and Vinciane Unger
Atmos. Meas. Tech., 15, 5415–5438, https://doi.org/10.5194/amt-15-5415-2022,https://doi.org/10.5194/amt-15-5415-2022, 2022
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26 Sep 2022
Ozone reactivity measurement of biogenic volatile organic compound emissions
Detlev Helmig, Alex Guenther, Jacques Hueber, Ryan Daly, Wei Wang, Jeong-Hoo Park, Anssi Liikanen, and Arnaud P. Praplan
Atmos. Meas. Tech., 15, 5439–5454, https://doi.org/10.5194/amt-15-5439-2022,https://doi.org/10.5194/amt-15-5439-2022, 2022
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26 Sep 2022
Comparison of two photolytic calibration methods for nitrous acid
Andrew J. Lindsay and Ezra C. Wood
Atmos. Meas. Tech., 15, 5455–5464, https://doi.org/10.5194/amt-15-5455-2022,https://doi.org/10.5194/amt-15-5455-2022, 2022
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27 Sep 2022
Towards vertical wind and turbulent flux estimation with multicopter uncrewed aircraft systems
Norman Wildmann and Tamino Wetz
Atmos. Meas. Tech., 15, 5465–5477, https://doi.org/10.5194/amt-15-5465-2022,https://doi.org/10.5194/amt-15-5465-2022, 2022
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27 Sep 2022
Rolling vs. seasonal PMF: real-world multi-site and synthetic dataset comparison
Marta Via, Gang Chen, Francesco Canonaco, Kaspar R. Daellenbach, Benjamin Chazeau, Hasna Chebaicheb, Jianhui Jiang, Hannes Keernik, Chunshui Lin, Nicolas Marchand, Cristina Marin, Colin O'Dowd, Jurgita Ovadnevaite, Jean-Eudes Petit, Michael Pikridas, Véronique Riffault, Jean Sciare, Jay G. Slowik, Leïla Simon, Jeni Vasilescu, Yunjiang Zhang, Olivier Favez, André S. H. Prévôt, Andrés Alastuey, and María Cruz Minguillón
Atmos. Meas. Tech., 15, 5479–5495, https://doi.org/10.5194/amt-15-5479-2022,https://doi.org/10.5194/amt-15-5479-2022, 2022
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27 Sep 2022
A new machine-learning-based analysis for improving satellite-retrieved atmospheric composition data: OMI SO2 as an example
Can Li, Joanna Joiner, Fei Liu, Nickolay A. Krotkov, Vitali Fioletov, and Chris McLinden
Atmos. Meas. Tech., 15, 5497–5514, https://doi.org/10.5194/amt-15-5497-2022,https://doi.org/10.5194/amt-15-5497-2022, 2022
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28 Sep 2022
Image muting of mixed precipitation to improve identification of regions of heavy snow in radar data
Laura M. Tomkins, Sandra E. Yuter, Matthew A. Miller, and Luke R. Allen
Atmos. Meas. Tech., 15, 5515–5525, https://doi.org/10.5194/amt-15-5515-2022,https://doi.org/10.5194/amt-15-5515-2022, 2022
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29 Sep 2022
Atmospheric visibility inferred from continuous-wave Doppler wind lidar
Manuel Queißer, Michael Harris, and Steven Knoop
Atmos. Meas. Tech., 15, 5527–5544, https://doi.org/10.5194/amt-15-5527-2022,https://doi.org/10.5194/amt-15-5527-2022, 2022
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30 Sep 2022
A new hot-stage microscopy technique for measuring temperature-dependent viscosities of aerosol particles and its application to farnesene secondary organic aerosol
Kristian J. Kiland, Kevin L. Marroquin, Natalie R. Smith, Shaun Xu, Sergey A. Nizkorodov, and Allan K. Bertram
Atmos. Meas. Tech., 15, 5545–5561, https://doi.org/10.5194/amt-15-5545-2022,https://doi.org/10.5194/amt-15-5545-2022, 2022
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04 Oct 2022
Tropospheric ozone retrieval by a combination of TROPOMI/S5P measurements with BASCOE assimilated data
Klaus-Peter Heue, Diego Loyola, Fabian Romahn, Walter Zimmer, Simon Chabrillat, Quentin Errera, Jerry Ziemke, and Natalya Kramarova
Atmos. Meas. Tech., 15, 5563–5579, https://doi.org/10.5194/amt-15-5563-2022,https://doi.org/10.5194/amt-15-5563-2022, 2022
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04 Oct 2022
Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC)
Katarzyna Ośródka, Irena Otop, and Jan Szturc
Atmos. Meas. Tech., 15, 5581–5597, https://doi.org/10.5194/amt-15-5581-2022,https://doi.org/10.5194/amt-15-5581-2022, 2022
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06 Oct 2022
Low-complexity methods to mitigate the impact of environmental variables on low-cost UAS-based atmospheric carbon dioxide measurements
Gustavo Britto Hupsel de Azevedo, Bill Doyle, Christopher A. Fiebrich, and David Schvartzman
Atmos. Meas. Tech., 15, 5599–5618, https://doi.org/10.5194/amt-15-5599-2022,https://doi.org/10.5194/amt-15-5599-2022, 2022
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10 Oct 2022
Information content and aerosol property retrieval potential for different types of in situ polar nephelometer data
Alireza Moallemi, Rob L. Modini, Tatyana Lapyonok, Anton Lopatin, David Fuertes, Oleg Dubovik, Philippe Giaccari, and Martin Gysel-Beer
Atmos. Meas. Tech., 15, 5619–5642, https://doi.org/10.5194/amt-15-5619-2022,https://doi.org/10.5194/amt-15-5619-2022, 2022
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10 Oct 2022
An improved vertical correction method for the inter-comparison and inter-validation of integrated water vapour measurements
Olivier Bock, Pierre Bosser, and Carl Mears
Atmos. Meas. Tech., 15, 5643–5665, https://doi.org/10.5194/amt-15-5643-2022,https://doi.org/10.5194/amt-15-5643-2022, 2022
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11 Oct 2022
Sensitivity of aerosol optical depth trends using long-term measurements of different sun photometers
Angelos Karanikolas, Natalia Kouremeti, Julian Gröbner, Luca Egli, and Stelios Kazadzis
Atmos. Meas. Tech., 15, 5667–5680, https://doi.org/10.5194/amt-15-5667-2022,https://doi.org/10.5194/amt-15-5667-2022, 2022
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12 Oct 2022
Adaptive thermal image velocimetry of spatial wind movement on landscapes using near-target infrared cameras
Benjamin Schumacher, Marwan Katurji, Jiawei Zhang, Peyman Zawar-Reza, Benjamin Adams, and Matthias Zeeman
Atmos. Meas. Tech., 15, 5681–5700, https://doi.org/10.5194/amt-15-5681-2022,https://doi.org/10.5194/amt-15-5681-2022, 2022
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12 Oct 2022
Ice water path retrievals from Meteosat-9 using quantile regression neural networks
Adrià Amell, Patrick Eriksson, and Simon Pfreundschuh
Atmos. Meas. Tech., 15, 5701–5717, https://doi.org/10.5194/amt-15-5701-2022,https://doi.org/10.5194/amt-15-5701-2022, 2022
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12 Oct 2022
The realization of autonomous, aircraft-based, real-time aerosol mass spectrometry in the upper troposphere and lower stratosphere
Antonis Dragoneas, Sergej Molleker, Oliver Appel, Andreas Hünig, Thomas Böttger, Markus Hermann, Frank Drewnick, Johannes Schneider, Ralf Weigel, and Stephan Borrmann
Atmos. Meas. Tech., 15, 5719–5742, https://doi.org/10.5194/amt-15-5719-2022,https://doi.org/10.5194/amt-15-5719-2022, 2022
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12 Oct 2022
Impact of 3D cloud structures on the atmospheric trace gas products from UV–Vis sounders – Part 2: Impact on NO2 retrieval and mitigation strategies
Huan Yu, Claudia Emde, Arve Kylling, Ben Veihelmann, Bernhard Mayer, Kerstin Stebel, and Michel Van Roozendael
Atmos. Meas. Tech., 15, 5743–5768, https://doi.org/10.5194/amt-15-5743-2022,https://doi.org/10.5194/amt-15-5743-2022, 2022
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13 Oct 2022
Meteor radar vertical wind observation biases and mathematical debiasing strategies including the 3DVAR+DIV algorithm
Gunter Stober, Alan Liu, Alexander Kozlovsky, Zishun Qiao, Ales Kuchar, Christoph Jacobi, Chris Meek, Diego Janches, Guiping Liu, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, and Nicholas Mitchell
Atmos. Meas. Tech., 15, 5769–5792, https://doi.org/10.5194/amt-15-5769-2022,https://doi.org/10.5194/amt-15-5769-2022, 2022
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14 Oct 2022
Neural network processing of holographic images
John S. Schreck, Gabrielle Gantos, Matthew Hayman, Aaron Bansemer, and David John Gagne
Atmos. Meas. Tech., 15, 5793–5819, https://doi.org/10.5194/amt-15-5793-2022,https://doi.org/10.5194/amt-15-5793-2022, 2022
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14 Oct 2022
Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland
Matthias Aichinger-Rosenberger, Elmar Brockmann, Laura Crocetti, Benedikt Soja, and Gregor Moeller
Atmos. Meas. Tech., 15, 5821–5839, https://doi.org/10.5194/amt-15-5821-2022,https://doi.org/10.5194/amt-15-5821-2022, 2022
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14 Oct 2022
Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands
Broghan M. Erland, Cristen Adams, Andrea Darlington, Mackenzie L. Smith, Andrew K. Thorpe, Gregory R. Wentworth, Steve Conley, John Liggio, Shao-Meng Li, Charles E. Miller, and John A. Gamon
Atmos. Meas. Tech., 15, 5841–5859, https://doi.org/10.5194/amt-15-5841-2022,https://doi.org/10.5194/amt-15-5841-2022, 2022
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14 Oct 2022
3D trajectories and velocities of rainfall drops in a multifractal turbulent wind field
Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer
Atmos. Meas. Tech., 15, 5861–5875, https://doi.org/10.5194/amt-15-5861-2022,https://doi.org/10.5194/amt-15-5861-2022, 2022
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19 Oct 2022
Algorithm theoretical basis for ozone and sulfur dioxide retrievals from DSCOVR EPIC
Xinzhou Huang and Kai Yang
Atmos. Meas. Tech., 15, 5877–5915, https://doi.org/10.5194/amt-15-5877-2022,https://doi.org/10.5194/amt-15-5877-2022, 2022
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19 Oct 2022
Comparison of GRUAN data products for Meisei iMS-100 and Vaisala RS92 radiosondes at Tateno, Japan
Shunsuke Hoshino, Takuji Sugidachi, Kensaku Shimizu, Eriko Kobayashi, Masatomo Fujiwara, and Masami Iwabuchi
Atmos. Meas. Tech., 15, 5917–5948, https://doi.org/10.5194/amt-15-5917-2022,https://doi.org/10.5194/amt-15-5917-2022, 2022
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20 Oct 2022
Assessment of the error budget for stratospheric ozone profiles retrieved from OMPS limb scatter measurements
Carlo Arosio, Alexei Rozanov, Victor Gorshelev, Alexandra Laeng, and John P. Burrows
Atmos. Meas. Tech., 15, 5949–5967, https://doi.org/10.5194/amt-15-5949-2022,https://doi.org/10.5194/amt-15-5949-2022, 2022
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20 Oct 2022
Influence of CO2 adsorption on cylinders and fractionation of CO2 and air during the preparation of a standard mixture
Nobuyuki Aoki, Shigeyuki Ishidoya, Shohei Murayama, and Nobuhiro Matsumoto
Atmos. Meas. Tech., 15, 5969–5983, https://doi.org/10.5194/amt-15-5969-2022,https://doi.org/10.5194/amt-15-5969-2022, 2022
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20 Oct 2022
Uncertainty-bounded estimates of ash cloud properties using the ORAC algorithm: application to the 2019 Raikoke eruption
Andrew T. Prata, Roy G. Grainger, Isabelle A. Taylor, Adam C. Povey, Simon R. Proud, and Caroline A. Poulsen
Atmos. Meas. Tech., 15, 5985–6010, https://doi.org/10.5194/amt-15-5985-2022,https://doi.org/10.5194/amt-15-5985-2022, 2022
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20 Oct 2022
Evaluation of the New York State Mesonet Profiler Network data
Bhupal Shrestha, Jerald A. Brotzge, and Junhong Wang
Atmos. Meas. Tech., 15, 6011–6033, https://doi.org/10.5194/amt-15-6011-2022,https://doi.org/10.5194/amt-15-6011-2022, 2022
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21 Oct 2022
DeepPrecip: a deep neural network for precipitation retrievals
Fraser King, George Duffy, Lisa Milani, Christopher G. Fletcher, Claire Pettersen, and Kerstin Ebell
Atmos. Meas. Tech., 15, 6035–6050, https://doi.org/10.5194/amt-15-6035-2022,https://doi.org/10.5194/amt-15-6035-2022, 2022
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21 Oct 2022
Source apportionment resolved by time of day for improved deconvolution of primary source contributions to air pollution
Sahil Bhandari, Zainab Arub, Gazala Habib, Joshua S. Apte, and Lea Hildebrandt Ruiz
Atmos. Meas. Tech., 15, 6051–6074, https://doi.org/10.5194/amt-15-6051-2022,https://doi.org/10.5194/amt-15-6051-2022, 2022
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21 Oct 2022
Estimates of remote sensing retrieval errors by the GRASP algorithm: application to ground-based observations, concept and validation
Milagros E. Herrera, Oleg Dubovik, Benjamin Torres, Tatyana Lapyonok, David Fuertes, Anton Lopatin, Pavel Litvinov, Cheng Chen, Jose Antonio Benavent-Oltra, Juan L. Bali, and Pablo R. Ristori
Atmos. Meas. Tech., 15, 6075–6126, https://doi.org/10.5194/amt-15-6075-2022,https://doi.org/10.5194/amt-15-6075-2022, 2022
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24 Oct 2022
Algorithm for vertical distribution of boundary layer aerosol components in remote-sensing data
Futing Wang, Ting Yang, Zifa Wang, Haibo Wang, Xi Chen, Yele Sun, Jianjun Li, Guigang Tang, and Wenxuan Chai
Atmos. Meas. Tech., 15, 6127–6144, https://doi.org/10.5194/amt-15-6127-2022,https://doi.org/10.5194/amt-15-6127-2022, 2022
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25 Oct 2022
SAGE III/ISS ozone and NO2 validation using diurnal scaling factors
Sarah A. Strode, Ghassan Taha, Luke D. Oman, Robert Damadeo, David Flittner, Mark Schoeberl, Christopher E. Sioris, and Ryan Stauffer
Atmos. Meas. Tech., 15, 6145–6161, https://doi.org/10.5194/amt-15-6145-2022,https://doi.org/10.5194/amt-15-6145-2022, 2022
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25 Oct 2022
An improved OSIRIS NO2 profile retrieval in the upper troposphere–lower stratosphere and intercomparison with ACE-FTS and SAGE III/ISS
Kimberlee Dubé, Daniel Zawada, Adam Bourassa, Doug Degenstein, William Randel, David Flittner, Patrick Sheese, and Kaley Walker
Atmos. Meas. Tech., 15, 6163–6180, https://doi.org/10.5194/amt-15-6163-2022,https://doi.org/10.5194/amt-15-6163-2022, 2022
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26 Oct 2022
Improved spectral processing for a multi-mode pulse compression Ka–Ku-band cloud radar system
Han Ding, Haoran Li, and Liping Liu
Atmos. Meas. Tech., 15, 6181–6200, https://doi.org/10.5194/amt-15-6181-2022,https://doi.org/10.5194/amt-15-6181-2022, 2022
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26 Oct 2022
Effects of temperature and salinity on bubble-bursting aerosol formation simulated with a bubble-generating chamber
Svetlana Sofieva, Eija Asmi, Nina S. Atanasova, Aino E. Heikkinen, Emeline Vidal, Jonathan Duplissy, Martin Romantschuk, Rostislav Kouznetsov, Jaakko Kukkonen, Dennis H. Bamford, Antti-Pekka Hyvärinen, and Mikhail Sofiev
Atmos. Meas. Tech., 15, 6201–6219, https://doi.org/10.5194/amt-15-6201-2022,https://doi.org/10.5194/amt-15-6201-2022, 2022
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27 Oct 2022
3D cloud envelope and cloud development velocity from simulated CLOUD (C3IEL) stereo images
Paolo Dandini, Céline Cornet, Renaud Binet, Laetitia Fenouil, Vadim Holodovsky, Yoav Y. Schechner, Didier Ricard, and Daniel Rosenfeld
Atmos. Meas. Tech., 15, 6221–6242, https://doi.org/10.5194/amt-15-6221-2022,https://doi.org/10.5194/amt-15-6221-2022, 2022
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28 Oct 2022
Estimation of refractivity uncertainties and vertical error correlations in collocated radio occultations, radiosondes, and model forecasts
Johannes K. Nielsen, Hans Gleisner, Stig Syndergaard, and Kent B. Lauritsen
Atmos. Meas. Tech., 15, 6243–6256, https://doi.org/10.5194/amt-15-6243-2022,https://doi.org/10.5194/amt-15-6243-2022, 2022
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01 Nov 2022
Intercomparison of Sentinel-5P TROPOMI cloud products for tropospheric trace gas retrievals
Miriam Latsch, Andreas Richter, Henk Eskes, Maarten Sneep, Ping Wang, Pepijn Veefkind, Ronny Lutz, Diego Loyola, Athina Argyrouli, Pieter Valks, Thomas Wagner, Holger Sihler, Michel van Roozendael, Nicolas Theys, Huan Yu, Richard Siddans, and John P. Burrows
Atmos. Meas. Tech., 15, 6257–6283, https://doi.org/10.5194/amt-15-6257-2022,https://doi.org/10.5194/amt-15-6257-2022, 2022
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02 Nov 2022
A quantitative comparison of methods used to measure smaller methane emissions typically observed from superannuated oil and gas infrastructure
Stuart N. Riddick, Riley Ancona, Mercy Mbua, Clay S. Bell, Aidan Duggan, Timothy L. Vaughn, Kristine Bennett, and Daniel J. Zimmerle
Atmos. Meas. Tech., 15, 6285–6296, https://doi.org/10.5194/amt-15-6285-2022,https://doi.org/10.5194/amt-15-6285-2022, 2022
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02 Nov 2022
On the development of a new prototype PTR-ToF-MS instrument and its application to the detection of atmospheric amines
Alexander Håland, Tomáš Mikoviny, Elisabeth Emilie Syse, and Armin Wisthaler
Atmos. Meas. Tech., 15, 6297–6307, https://doi.org/10.5194/amt-15-6297-2022,https://doi.org/10.5194/amt-15-6297-2022, 2022
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02 Nov 2022
Calibrating networks of low-cost air quality sensors
Priyanka deSouza, Ralph Kahn, Tehya Stockman, William Obermann, Ben Crawford, An Wang, James Crooks, Jing Li, and Patrick Kinney
Atmos. Meas. Tech., 15, 6309–6328, https://doi.org/10.5194/amt-15-6309-2022,https://doi.org/10.5194/amt-15-6309-2022, 2022
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03 Nov 2022
Intercomparison of airborne and surface-based measurements during the CLARIFY, ORACLES and LASIC field experiments
Paul A. Barrett, Steven J. Abel, Hugh Coe, Ian Crawford, Amie Dobracki, James Haywood, Steve Howell, Anthony Jones, Justin Langridge, Greg M. McFarquhar, Graeme J. Nott, Hannah Price, Jens Redemann, Yohei Shinozuka, Kate Szpek, Jonathan W. Taylor, Robert Wood, Huihui Wu, Paquita Zuidema, Stéphane Bauguitte, Ryan Bennett, Keith Bower, Hong Chen, Sabrina Cochrane, Michael Cotterell, Nicholas Davies, David Delene, Connor Flynn, Andrew Freedman, Steffen Freitag, Siddhant Gupta, David Noone, Timothy B. Onasch, James Podolske, Michael R. Poellot, Sebastian Schmidt, Stephen Springston, Arthur J. Sedlacek III, Jamie Trembath, Alan Vance, Maria A. Zawadowicz, and Jianhao Zhang
Atmos. Meas. Tech., 15, 6329–6371, https://doi.org/10.5194/amt-15-6329-2022,https://doi.org/10.5194/amt-15-6329-2022, 2022
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04 Nov 2022
Sizing ice hydrometeor populations using the dual-wavelength radar ratio
Sergey Y. Matrosov, Alexei Korolev, Mengistu Wolde, and Cuong Nguyen
Atmos. Meas. Tech., 15, 6373–6386, https://doi.org/10.5194/amt-15-6373-2022,https://doi.org/10.5194/amt-15-6373-2022, 2022
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08 Nov 2022
Long-distance propagation of 162 MHz shipping information links associated with sporadic E
Alex T. Chartier, Thomas R. Hanley, and Daniel J. Emmons
Atmos. Meas. Tech., 15, 6387–6393, https://doi.org/10.5194/amt-15-6387-2022,https://doi.org/10.5194/amt-15-6387-2022, 2022
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08 Nov 2022
Harmonized retrieval of middle atmospheric ozone from two microwave radiometers in Switzerland
Eric Sauvageat, Eliane Maillard Barras, Klemens Hocke, Alexander Haefele, and Axel Murk
Atmos. Meas. Tech., 15, 6395–6417, https://doi.org/10.5194/amt-15-6395-2022,https://doi.org/10.5194/amt-15-6395-2022, 2022
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08 Nov 2022
The effect of the averaging period for PMF analysis of aerosol mass spectrometer measurements during offline applications
Christina Vasilakopoulou, Iasonas Stavroulas, Nikolaos Mihalopoulos, and Spyros N. Pandis
Atmos. Meas. Tech., 15, 6419–6431, https://doi.org/10.5194/amt-15-6419-2022,https://doi.org/10.5194/amt-15-6419-2022, 2022
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09 Nov 2022
Reactive uptake coefficients for multiphase reactions determined by a dynamic chamber system
Guo Li, Hang Su, Meng Li, Uwe Kuhn, Guangjie Zheng, Lei Han, Fengxia Bao, Ulrich Pöschl, and Yafang Cheng
Atmos. Meas. Tech., 15, 6433–6446, https://doi.org/10.5194/amt-15-6433-2022,https://doi.org/10.5194/amt-15-6433-2022, 2022
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11 Nov 2022
Technique for comparison of backscatter coefficients derived from in situ cloud probe measurements with concurrent airborne lidar
Shawn Wendell Wagner and David James Delene
Atmos. Meas. Tech., 15, 6447–6466, https://doi.org/10.5194/amt-15-6447-2022,https://doi.org/10.5194/amt-15-6447-2022, 2022
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11 Nov 2022
Quality control and error assessment of the Aeolus L2B wind results from the Joint Aeolus Tropical Atlantic Campaign
Oliver Lux, Benjamin Witschas, Alexander Geiß, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 6467–6488, https://doi.org/10.5194/amt-15-6467-2022,https://doi.org/10.5194/amt-15-6467-2022, 2022
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11 Nov 2022
Retrieval of ice water path from the Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite polarimetric measurements based on a deep neural network
Wenyu Wang, Zhenzhan Wang, Qiurui He, and Lanjie Zhang
Atmos. Meas. Tech., 15, 6489–6506, https://doi.org/10.5194/amt-15-6489-2022,https://doi.org/10.5194/amt-15-6489-2022, 2022
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11 Nov 2022
Complementarity of wind measurements from co-located X-band weather radar and Doppler lidar
Jenna Ritvanen, Ewan O'Connor, Dmitri Moisseev, Raisa Lehtinen, Jani Tyynelä, and Ludovic Thobois
Atmos. Meas. Tech., 15, 6507–6519, https://doi.org/10.5194/amt-15-6507-2022,https://doi.org/10.5194/amt-15-6507-2022, 2022
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14 Nov 2022
ICE-CAMERA: a flatbed scanner to study inland Antarctic polar precipitation
Massimo Del Guasta
Atmos. Meas. Tech., 15, 6521–6544, https://doi.org/10.5194/amt-15-6521-2022,https://doi.org/10.5194/amt-15-6521-2022, 2022
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17 Nov 2022
A comparative evaluation of snowflake particle shape estimation techniques used by the Precipitation Imaging Package (PIP), Multi-Angle Snowflake Camera (MASC), and Two-Dimensional Video Disdrometer (2DVD)
Charles Nelson Helms, Stephen Joseph Munchak, Ali Tokay, and Claire Pettersen
Atmos. Meas. Tech., 15, 6545–6561, https://doi.org/10.5194/amt-15-6545-2022,https://doi.org/10.5194/amt-15-6545-2022, 2022
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17 Nov 2022
The measurement of mean wind, variances, and covariances from an instrumented mobile car in a rural environment
Stefan J. Miller and Mark Gordon
Atmos. Meas. Tech., 15, 6563–6584, https://doi.org/10.5194/amt-15-6563-2022,https://doi.org/10.5194/amt-15-6563-2022, 2022
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17 Nov 2022
Evaluation of the methane full-physics retrieval applied to TROPOMI ocean sun glint measurements
Alba Lorente, Tobias Borsdorff, Mari C. Martinez-Velarte, Andre Butz, Otto P. Hasekamp, Lianghai Wu, and Jochen Landgraf
Atmos. Meas. Tech., 15, 6585–6603, https://doi.org/10.5194/amt-15-6585-2022,https://doi.org/10.5194/amt-15-6585-2022, 2022
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17 Nov 2022
Comparison of OCO-2 target observations to MUCCnet – is it possible to capture urban XCO2 gradients from space?
Maximilian Rißmann, Jia Chen, Gregory Osterman, Xinxu Zhao, Florian Dietrich, Moritz Makowski, Frank Hase, and Matthäus Kiel
Atmos. Meas. Tech., 15, 6605–6623, https://doi.org/10.5194/amt-15-6605-2022,https://doi.org/10.5194/amt-15-6605-2022, 2022
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18 Nov 2022
Radio frequency interference detection and mitigation in the DWD C-band weather radar network
Maximilian Schaper, Michael Frech, David Michaelis, Cornelius Hald, and Benjamin Rohrdantz
Atmos. Meas. Tech., 15, 6625–6642, https://doi.org/10.5194/amt-15-6625-2022,https://doi.org/10.5194/amt-15-6625-2022, 2022
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18 Nov 2022
A lightweight broadband cavity-enhanced spectrometer for NO2 measurement on uncrewed aerial vehicles
Caroline C. Womack, Steven S. Brown, Steven J. Ciciora, Ru-Shan Gao, Richard J. McLaughlin, Michael A. Robinson, Yinon Rudich, and Rebecca A. Washenfelder
Atmos. Meas. Tech., 15, 6643–6652, https://doi.org/10.5194/amt-15-6643-2022,https://doi.org/10.5194/amt-15-6643-2022, 2022
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21 Nov 2022
A CO2-independent cloud mask from Infrared Atmospheric Sounding Interferometer (IASI) radiances for climate applications
Simon Whitburn, Lieven Clarisse, Marc Crapeau, Thomas August, Tim Hultberg, Pierre François Coheur, and Cathy Clerbaux
Atmos. Meas. Tech., 15, 6653–6668, https://doi.org/10.5194/amt-15-6653-2022,https://doi.org/10.5194/amt-15-6653-2022, 2022
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21 Nov 2022
Long-term validation of MIPAS ESA operational products using MIPAS-B measurements
Gerald Wetzel, Michael Höpfner, Hermann Oelhaf, Felix Friedl-Vallon, Anne Kleinert, Guido Maucher, Miriam Sinnhuber, Janna Abalichin, Angelika Dehn, and Piera Raspollini
Atmos. Meas. Tech., 15, 6669–6704, https://doi.org/10.5194/amt-15-6669-2022,https://doi.org/10.5194/amt-15-6669-2022, 2022
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21 Nov 2022
Raindrop size distribution (DSD) during the passage of tropical cyclone Nivar: effect of measuring principle and wind on DSDs and retrieved rain integral and polarimetric parameters from impact and laser disdrometers
Basivi Radhakrishna
Atmos. Meas. Tech., 15, 6705–6722, https://doi.org/10.5194/amt-15-6705-2022,https://doi.org/10.5194/amt-15-6705-2022, 2022
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22 Nov 2022
Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements
Marco Ridolfi, Cecilia Tirelli, Simone Ceccherini, Claudio Belotti, Ugo Cortesi, and Luca Palchetti
Atmos. Meas. Tech., 15, 6723–6737, https://doi.org/10.5194/amt-15-6723-2022,https://doi.org/10.5194/amt-15-6723-2022, 2022
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22 Nov 2022
Retrieval of atmospheric CFC-11 and CFC-12 from high-resolution FTIR observations at Hefei and comparisons with other independent datasets
Xiangyu Zeng, Wei Wang, Cheng Liu, Changgong Shan, Yu Xie, Peng Wu, Qianqian Zhu, Minqiang Zhou, Martine De Mazière, Emmanuel Mahieu, Irene Pardo Cantos, Jamal Makkor, and Alexander Polyakov
Atmos. Meas. Tech., 15, 6739–6754, https://doi.org/10.5194/amt-15-6739-2022,https://doi.org/10.5194/amt-15-6739-2022, 2022
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22 Nov 2022
Intercomparison of in situ measurements of ambient NH3: instrument performance and application under field conditions
Marsailidh M. Twigg, Augustinus J. C. Berkhout, Nicholas Cowan, Sabine Crunaire, Enrico Dammers, Volker Ebert, Vincent Gaudion, Marty Haaima, Christoph Häni, Lewis John, Matthew R. Jones, Bjorn Kamps, John Kentisbeer, Thomas Kupper, Sarah R. Leeson, Daiana Leuenberger, Nils O. B. Lüttschwager, Ulla Makkonen, Nicholas A. Martin, David Missler, Duncan Mounsor, Albrecht Neftel, Chad Nelson, Eiko Nemitz, Rutger Oudwater, Celine Pascale, Jean-Eudes Petit, Andrea Pogany, Nathalie Redon, Jörg Sintermann, Amy Stephens, Mark A. Sutton, Yuk S. Tang, Rens Zijlmans, Christine F. Braban, and Bernhard Niederhauser
Atmos. Meas. Tech., 15, 6755–6787, https://doi.org/10.5194/amt-15-6755-2022,https://doi.org/10.5194/amt-15-6755-2022, 2022
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23 Nov 2022
The DataHawk2 uncrewed aircraft system for atmospheric research
Jonathan Hamilton, Gijs de Boer, Abhiram Doddi, and Dale A. Lawrence
Atmos. Meas. Tech., 15, 6789–6806, https://doi.org/10.5194/amt-15-6789-2022,https://doi.org/10.5194/amt-15-6789-2022, 2022
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23 Nov 2022
New method to determine black carbon mass size distribution
Weilun Zhao, Gang Zhao, Ying Li, Song Guo, Nan Ma, Lizi Tang, Zirui Zhang, and Chunsheng Zhao
Atmos. Meas. Tech., 15, 6807–6817, https://doi.org/10.5194/amt-15-6807-2022,https://doi.org/10.5194/amt-15-6807-2022, 2022
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24 Nov 2022
A universally applicable method of calculating confidence bands for ice nucleation spectra derived from droplet freezing experiments
William D. Fahy, Cosma Rohilla Shalizi, and Ryan Christopher Sullivan
Atmos. Meas. Tech., 15, 6819–6836, https://doi.org/10.5194/amt-15-6819-2022,https://doi.org/10.5194/amt-15-6819-2022, 2022
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24 Nov 2022
A comparison of carbon monoxide retrievals between the MOPITT satellite and Canadian high-Arctic ground-based NDACC and TCCON FTIR measurements
Ali Jalali, Kaley A. Walker, Kimberly Strong, Rebecca R. Buchholz, Merritt N. Deeter, Debra Wunch, Sébastien Roche, Tyler Wizenberg, Erik Lutsch, Erin McGee, Helen M. Worden, Pierre Fogal, and James R. Drummond
Atmos. Meas. Tech., 15, 6837–6863, https://doi.org/10.5194/amt-15-6837-2022,https://doi.org/10.5194/amt-15-6837-2022, 2022
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24 Nov 2022
The new MISR research aerosol retrieval algorithm: a multi-angle, multi-spectral, bounded-variable least squares retrieval of aerosol particle properties over both land and water
James A. Limbacher, Ralph A. Kahn, and Jaehwa Lee
Atmos. Meas. Tech., 15, 6865–6887, https://doi.org/10.5194/amt-15-6865-2022,https://doi.org/10.5194/amt-15-6865-2022, 2022
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01 Dec 2022
CAMP: an instrumented platform for balloon-borne aerosol particle studies in the lower atmosphere
Christian Pilz, Sebastian Düsing, Birgit Wehner, Thomas Müller, Holger Siebert, Jens Voigtländer, and Michael Lonardi
Atmos. Meas. Tech., 15, 6889–6905, https://doi.org/10.5194/amt-15-6889-2022,https://doi.org/10.5194/amt-15-6889-2022, 2022
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01 Dec 2022
An improved near-real-time precipitation retrieval for Brazil
Simon Pfreundschuh, Ingrid Ingemarsson, Patrick Eriksson, Daniel A. Vila, and Alan J. P. Calheiros
Atmos. Meas. Tech., 15, 6907–6933, https://doi.org/10.5194/amt-15-6907-2022,https://doi.org/10.5194/amt-15-6907-2022, 2022
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02 Dec 2022
Online measurements of cycloalkanes based on NO+ chemical ionization in proton transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS)
Yubin Chen, Bin Yuan, Chaomin Wang, Sihang Wang, Xianjun He, Caihong Wu, Xin Song, Yibo Huangfu, Xiao-Bing Li, Yijia Liao, and Min Shao
Atmos. Meas. Tech., 15, 6935–6947, https://doi.org/10.5194/amt-15-6935-2022,https://doi.org/10.5194/amt-15-6935-2022, 2022
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02 Dec 2022
Assessing the consistency of satellite-derived upper tropospheric humidity measurements
Lei Shi, Carl J. Schreck III, Viju O. John, Eui-Seok Chung, Theresa Lang, Stefan A. Buehler, and Brian J. Soden
Atmos. Meas. Tech., 15, 6949–6963, https://doi.org/10.5194/amt-15-6949-2022,https://doi.org/10.5194/amt-15-6949-2022, 2022
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06 Dec 2022
Importance of size representation and morphology in modelling optical properties of black carbon: comparison between laboratory measurements and model simulations
Baseerat Romshoo, Mira Pöhlker, Alfred Wiedensohler, Sascha Pfeifer, Jorge Saturno, Andreas Nowak, Krzysztof Ciupek, Paul Quincey, Konstantina Vasilatou, Michaela N. Ess, Maria Gini, Konstantinos Eleftheriadis, Chris Robins, François Gaie-Levrel, and Thomas Müller
Atmos. Meas. Tech., 15, 6965–6989, https://doi.org/10.5194/amt-15-6965-2022,https://doi.org/10.5194/amt-15-6965-2022, 2022
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06 Dec 2022
TUNER-compliant error estimation for MIPAS: methodology
Thomas von Clarmann, Norbert Glatthor, Udo Grabowski, Bernd Funke, Michael Kiefer, Anne Kleinert, Gabriele P. Stiller, Andrea Linden, and Sylvia Kellmann
Atmos. Meas. Tech., 15, 6991–7018, https://doi.org/10.5194/amt-15-6991-2022,https://doi.org/10.5194/amt-15-6991-2022, 2022
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06 Dec 2022
Direct measurement of N2O5 heterogeneous uptake coefficients on ambient aerosols via an aerosol flow tube system: design, characterization and performance
Xiaorui Chen, Haichao Wang, Tianyu Zhai, Chunmeng Li, and Keding Lu
Atmos. Meas. Tech., 15, 7019–7037, https://doi.org/10.5194/amt-15-7019-2022,https://doi.org/10.5194/amt-15-7019-2022, 2022
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07 Dec 2022
An improved formula for the complete data fusion
Simone Ceccherini, Nicola Zoppetti, and Bruno Carli
Atmos. Meas. Tech., 15, 7039–7048, https://doi.org/10.5194/amt-15-7039-2022,https://doi.org/10.5194/amt-15-7039-2022, 2022
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08 Dec 2022
| Highlight paper
Validation of the Aeolus L2B wind product with airborne wind lidar measurements in the polar North Atlantic region and in the tropics
Benjamin Witschas, Christian Lemmerz, Alexander Geiß, Oliver Lux, Uwe Marksteiner, Stephan Rahm, Oliver Reitebuch, Andreas Schäfler, and Fabian Weiler
Atmos. Meas. Tech., 15, 7049–7070, https://doi.org/10.5194/amt-15-7049-2022,https://doi.org/10.5194/amt-15-7049-2022, 2022
Short summary Executive editor
08 Dec 2022
Satellite observations of gravity wave momentum flux in the mesosphere and lower thermosphere (MLT): feasibility and requirements
Qiuyu Chen, Konstantin Ntokas, Björn Linder, Lukas Krasauskas, Manfred Ern, Peter Preusse, Jörn Ungermann, Erich Becker, Martin Kaufmann, and Martin Riese
Atmos. Meas. Tech., 15, 7071–7103, https://doi.org/10.5194/amt-15-7071-2022,https://doi.org/10.5194/amt-15-7071-2022, 2022
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09 Dec 2022
Horizontal small-scale variability of water vapor in the atmosphere: implications for intercomparison of data from different measuring systems
Xavier Calbet, Cintia Carbajal Henken, Sergio DeSouza-Machado, Bomin Sun, and Tony Reale
Atmos. Meas. Tech., 15, 7105–7118, https://doi.org/10.5194/amt-15-7105-2022,https://doi.org/10.5194/amt-15-7105-2022, 2022
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12 Dec 2022
Latent heating profiles from GOES-16 and its impacts on precipitation forecasts
Yoonjin Lee, Christian D. Kummerow, and Milija Zupanski
Atmos. Meas. Tech., 15, 7119–7136, https://doi.org/10.5194/amt-15-7119-2022,https://doi.org/10.5194/amt-15-7119-2022, 2022
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12 Dec 2022
Mass spectrometry-based Aerosolomics: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol
Markus Thoma, Franziska Bachmeier, Felix Leonard Gottwald, Mario Simon, and Alexander Lucas Vogel
Atmos. Meas. Tech., 15, 7137–7154, https://doi.org/10.5194/amt-15-7137-2022,https://doi.org/10.5194/amt-15-7137-2022, 2022
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13 Dec 2022
Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery
Zhan Zhang, Evan D. Sherwin, Daniel J. Varon, and Adam R. Brandt
Atmos. Meas. Tech., 15, 7155–7169, https://doi.org/10.5194/amt-15-7155-2022,https://doi.org/10.5194/amt-15-7155-2022, 2022
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13 Dec 2022
| Highlight paper
In situ particle sampling relationships to surface and turbulent fluxes using large eddy simulations with Lagrangian particles
Hyungwon John Park, Jeffrey S. Reid, Livia S. Freire, Christopher Jackson, and David H. Richter
Atmos. Meas. Tech., 15, 7171–7194, https://doi.org/10.5194/amt-15-7171-2022,https://doi.org/10.5194/amt-15-7171-2022, 2022
Short summary Executive editor
14 Dec 2022
Volcanic cloud detection using Sentinel-3 satellite data by means of neural networks: the Raikoke 2019 eruption test case
Ilaria Petracca, Davide De Santis, Matteo Picchiani, Stefano Corradini, Lorenzo Guerrieri, Fred Prata, Luca Merucci, Dario Stelitano, Fabio Del Frate, Giorgia Salvucci, and Giovanni Schiavon
Atmos. Meas. Tech., 15, 7195–7210, https://doi.org/10.5194/amt-15-7195-2022,https://doi.org/10.5194/amt-15-7195-2022, 2022
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16 Dec 2022
High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning
Kenneth A. Brown and Thomas G. Herges
Atmos. Meas. Tech., 15, 7211–7234, https://doi.org/10.5194/amt-15-7211-2022,https://doi.org/10.5194/amt-15-7211-2022, 2022
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16 Dec 2022
Consistency test of precipitating ice cloud retrieval properties obtained from the observations of different instruments operating at Dome C (Antarctica)
Gianluca Di Natale, David D. Turner, Giovanni Bianchini, Massimo Del Guasta, Luca Palchetti, Alessandro Bracci, Luca Baldini, Tiziano Maestri, William Cossich, Michele Martinazzo, and Luca Facheris
Atmos. Meas. Tech., 15, 7235–7258, https://doi.org/10.5194/amt-15-7235-2022,https://doi.org/10.5194/amt-15-7235-2022, 2022
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19 Dec 2022
A new method for calculating average visibility from the relationship between extinction coefficient and visibility
Zefeng Zhang, Hengnan Guo, Hanqing Kang, Jing Wang, Junlin An, Xingna Yu, Jingjing Lv, and Bin Zhu
Atmos. Meas. Tech., 15, 7259–7264, https://doi.org/10.5194/amt-15-7259-2022,https://doi.org/10.5194/amt-15-7259-2022, 2022
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20 Dec 2022
Quantification of primary and secondary organic aerosol sources by combined factor analysis of extractive electrospray ionisation and aerosol mass spectrometer measurements (EESI-TOF and AMS)
Yandong Tong, Lu Qi, Giulia Stefenelli, Dongyu Simon Wang, Francesco Canonaco, Urs Baltensperger, André Stephan Henry Prévôt, and Jay Gates Slowik
Atmos. Meas. Tech., 15, 7265–7291, https://doi.org/10.5194/amt-15-7265-2022,https://doi.org/10.5194/amt-15-7265-2022, 2022
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20 Dec 2022
Inferring surface energy fluxes using drone data assimilation in large eddy simulations
Norbert Pirk, Kristoffer Aalstad, Sebastian Westermann, Astrid Vatne, Alouette van Hove, Lena Merete Tallaksen, Massimo Cassiani, and Gabriel Katul
Atmos. Meas. Tech., 15, 7293–7314, https://doi.org/10.5194/amt-15-7293-2022,https://doi.org/10.5194/amt-15-7293-2022, 2022
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20 Dec 2022
Doppler spectra from DWD's operational C-band radar birdbath scan: sampling strategy, spectral postprocessing, and multimodal analysis for the retrieval of precipitation processes
Mathias Gergely, Maximilian Schaper, Matthias Toussaint, and Michael Frech
Atmos. Meas. Tech., 15, 7315–7335, https://doi.org/10.5194/amt-15-7315-2022,https://doi.org/10.5194/amt-15-7315-2022, 2022
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22 Dec 2022
Improving continuous-flow analysis of triple oxygen isotopes in ice cores: insights from replicate measurements
Lindsey Davidge, Eric J. Steig, and Andrew J. Schauer
Atmos. Meas. Tech., 15, 7337–7351, https://doi.org/10.5194/amt-15-7337-2022,https://doi.org/10.5194/amt-15-7337-2022, 2022
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22 Dec 2022
Chemical ionization mass spectrometry utilizing ammonium ions (NH4+ CIMS) for measurements of organic compounds in the atmosphere
Lu Xu, Matthew M. Coggon, Chelsea E. Stockwell, Jessica B. Gilman, Michael A. Robinson, Martin Breitenlechner, Aaron Lamplugh, John D. Crounse, Paul O. Wennberg, J. Andrew Neuman, Gordon A. Novak, Patrick R. Veres, Steven S. Brown, and Carsten Warneke
Atmos. Meas. Tech., 15, 7353–7373, https://doi.org/10.5194/amt-15-7353-2022,https://doi.org/10.5194/amt-15-7353-2022, 2022
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22 Dec 2022
Icing wind tunnel measurements of supercooled large droplets using the 12 mm total water content cone of the Nevzorov probe
Johannes Lucke, Tina Jurkat-Witschas, Romy Heller, Valerian Hahn, Matthew Hamman, Wolfgang Breitfuss, Venkateshwar Reddy Bora, Manuel Moser, and Christiane Voigt
Atmos. Meas. Tech., 15, 7375–7394, https://doi.org/10.5194/amt-15-7375-2022,https://doi.org/10.5194/amt-15-7375-2022, 2022
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22 Dec 2022
Evaluation of a low-cost dryer for a low-cost optical particle counter
Miriam Chacón-Mateos, Bernd Laquai, Ulrich Vogt, and Cosima Stubenrauch
Atmos. Meas. Tech., 15, 7395–7410, https://doi.org/10.5194/amt-15-7395-2022,https://doi.org/10.5194/amt-15-7395-2022, 2022
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22 Dec 2022
Remote sensing of aerosol water fraction, dry size distribution and soluble fraction using multi-angle, multi-spectral polarimetry
Bastiaan van Diedenhoven, Otto P. Hasekamp, Brian Cairns, Gregory L. Schuster, Snorre Stamnes, Michael Shook, and Luke Ziemba
Atmos. Meas. Tech., 15, 7411–7434, https://doi.org/10.5194/amt-15-7411-2022,https://doi.org/10.5194/amt-15-7411-2022, 2022
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