The following lists the preprints and final revised papers published within the last 30 days.
28 Jan 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. Discuss., https://doi.org/10.5194/amt-2021-422,https://doi.org/10.5194/amt-2021-422, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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28 Jan 2022
Retrieval of ice water path from the FY-3B MWHS polarimetric measurements based on deep neural network
Wenyu Wang, Zhenzhan Wang, Qiurui He, and Lanjie Zhang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-2,https://doi.org/10.5194/amt-2022-2, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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
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
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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26 Jan 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. Discuss., https://doi.org/10.5194/amt-2021-426,https://doi.org/10.5194/amt-2021-426, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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26 Jan 2022
Intercomparison of wind observations from ESA’s satellite mission Aeolus, ERA5 reanalysis and radiosonde over China
Boming Liu, Jianping Guo, Wei Gong, Yong Zhang, Lijuan Shi, Yingying Ma, Jian Li, Xiaoran Guo, Ad Stoffelen, Gerrit de Leeuw, and Xiaofeng Xu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-26,https://doi.org/10.5194/amt-2022-26, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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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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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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
Estimating the uncertainty of middle-atmospheric temperatures retrieved from airborne Rayleigh lidar measurements
Stefanie Knobloch, Bernd Kaifler, and Markus Rapp
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-310,https://doi.org/10.5194/amt-2021-310, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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
Cloud optical properties retrieval and associated uncertainties using multi-angular and multi-spectral measurements of the airborne radiometer OSIRIS
Christian Matar, Céline Cornet, Frédéric Parol, Laurent C.-Labonnote, Frédérique Auriol, and Jean-Marc Nicolas
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-414,https://doi.org/10.5194/amt-2021-414, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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20 Jan 2022
High-resolution typhoon precipitation integrations using satellite infrared observations and multi-source data
You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-411,https://doi.org/10.5194/amt-2021-411, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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19 Jan 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. Discuss., https://doi.org/10.5194/amt-2022-8,https://doi.org/10.5194/amt-2022-8, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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18 Jan 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. Discuss., https://doi.org/10.5194/amt-2021-425,https://doi.org/10.5194/amt-2021-425, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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18 Jan 2022
A Statistically Optimal Analysis of Systematic Differences between Aeolus HLOS Winds and NOAA’s Global Forecast System
Hui Liu, Kevin Garrett, Kayo Ide, Ross Hoffman, and Katherine Lukens
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-20,https://doi.org/10.5194/amt-2022-20, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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17 Jan 2022
Cloud properties over the Southern Ocean during the MARCUS field campaign
Baike Xi, Xiquan Dong, Xiaojian Zheng, and Peng Wu
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-388,https://doi.org/10.5194/amt-2021-388, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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14 Jan 2022
Measurement of 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. Discuss., https://doi.org/10.5194/amt-2021-406,https://doi.org/10.5194/amt-2021-406, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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14 Jan 2022
OMI Collection 4: establishing a 17-year long series of detrended L1b 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 Levelt
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-430,https://doi.org/10.5194/amt-2021-430, 2022
Preprint under review for AMT (discussion: open, 2 comments)
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14 Jan 2022
Characterization of tandem aerosol classifiers for selecting particles: implication for eliminating multiple charging effect
Yao Song, Xiangyu Pei, Huichao Liu, Jiajia Zhou, and Zhibin Wang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-436,https://doi.org/10.5194/amt-2021-436, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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13 Jan 2022
Air pollution monitoring: Development of ammonia (NH3) dynamic reference gas mixtures at nmol/mol levels for improving the lack of traceability of measurements
Tatiana Macé, Maitane Iturrate-Garcia, Céline Pascale, Bernhard Niederhauser, Sophie Vaslin-Reimann, and Christophe Sutour
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-6,https://doi.org/10.5194/amt-2022-6, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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12 Jan 2022
Homogenization of the Observatoire de Haute Provence 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. Discuss., https://doi.org/10.5194/amt-2022-7,https://doi.org/10.5194/amt-2022-7, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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11 Jan 2022
Retrieval of the land-sea contrast of cloud liquid water path by applying a physical inversion algorithm to combined zenith and off-zenith ground-based microwave measurements
Vladimir Kostsov, Dmitry Ionov, and Anke Kniffka
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-415,https://doi.org/10.5194/amt-2021-415, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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11 Jan 2022
Comment on “Comparison of ozone measurement methods in biomass burning smoke: an evaluation under field and laboratory conditions” (Long et al. 2021)
Noah Bernays, Daniel Jaffe, Irina Petropavlovskikh, and Peter Effertz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-11,https://doi.org/10.5194/amt-2022-11, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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11 Jan 2022
Development, characterization and application of an improved online reactive oxygen species analyzer based on MARGA
Jiyan Wu, Chi Yang, Chunyan Zhang, Fang Cao, Aiping Wu, and Yanlin Zhang
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-407,https://doi.org/10.5194/amt-2021-407, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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10 Jan 2022
Turbulence parameters measured by the Beijing Mesosphere–Stratosphere–Troposphere radar in the troposphere/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. Discuss., https://doi.org/10.5194/amt-2021-309,https://doi.org/10.5194/amt-2021-309, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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10 Jan 2022
A scheme to detect sand/dust weather applying meteorological radars
Xuebang Gao and Li Xie
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-349,https://doi.org/10.5194/amt-2021-349, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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07 Jan 2022
Performance of open-path lasers and FTIR 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. Discuss., https://doi.org/10.5194/amt-2021-347,https://doi.org/10.5194/amt-2021-347, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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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
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
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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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
A Comparative Evaluation of Snowflake Particle Size and 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. Discuss., https://doi.org/10.5194/amt-2021-427,https://doi.org/10.5194/amt-2021-427, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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05 Jan 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. Discuss., https://doi.org/10.5194/amt-2021-433,https://doi.org/10.5194/amt-2021-433, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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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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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
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 Crosbie, Steven Achterberg, Philip Whitefield, Richard 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. Discuss., https://doi.org/10.5194/amt-2021-320,https://doi.org/10.5194/amt-2021-320, 2022
Preprint under review for AMT (discussion: open, 2 comments)
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03 Jan 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. Discuss., https://doi.org/10.5194/amt-2021-383,https://doi.org/10.5194/amt-2021-383, 2022
Preprint under review for AMT (discussion: open, 3 comments)
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03 Jan 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 Halliday, Thomas F. Hanisco, Christopher D. Holmes, L. Gregory Huey, Jose L. Jimenez, Aaron D. Lamplugh, Young Ro Lee, Jakob Lindaas, Richard H. Moore, 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. Discuss., https://doi.org/10.5194/amt-2021-432,https://doi.org/10.5194/amt-2021-432, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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