The following lists the recent preprints posted on EGUsphere with AMT-related topics, the recent preprints posted in AMT’s discussion forum, as well as final revised papers published recently in AMT.
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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30 Sep 2022
In orbit cross-calibration of millimeter conically scanning spaceborne radars
Alessandro Battaglia, Filippo Emilio Scarsi, Kamil Mroz, and Anthony Illingworth
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-213,https://doi.org/10.5194/amt-2022-213, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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30 Sep 2022
High-resolution observation of stable carbon isotope ratios of water-soluble organic carbon in particle/gas phases at an urban site in China: Using an improved isotope ratio mass spectrometry method
Hao-Ran Yu, Yan-Lin Zhang, Fang Cao, Xiao-Ying Yang, Tian Xie, Yu-Xian Zhang, and Yongwen Xue
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-239,https://doi.org/10.5194/amt-2022-239, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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30 Sep 2022
Online measurement of highly oxygenated compounds from organic aerosol
Ella Häkkinen, Jian Zhao, Frans Graeffe, Nicolas Fauré, Jordan Krechmer, Douglas Worsnop, Hilkka Timonen, Mikael Ehn, and Juha Kangasluoma
EGUsphere, https://doi.org/10.5194/egusphere-2022-933,https://doi.org/10.5194/egusphere-2022-933, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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29 Sep 2022
A UAV-based sampling system to analyse greenhouse gases and volatile organic carbons encompassing compound specific stable isotope analysis
Simon Leitner, Wendelin Feichtinger, Stefan Mayer, Florian Mayer, Dustin Krompetz, Rebecca Hood-Nowotny, and Andrea Watzinger
EGUsphere, https://doi.org/10.5194/egusphere-2022-830,https://doi.org/10.5194/egusphere-2022-830, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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29 Sep 2022
A novel analytical method to detect Ozone depleting substances and Fluorine-containing greenhouse gases in the atmosphere
Shan Danying, Cao Guan, Du Zhenyu, Zhang Xiulan, Tang Ka, Zhang Ting, and Chen Chunrong
EGUsphere, https://doi.org/10.5194/egusphere-2022-783,https://doi.org/10.5194/egusphere-2022-783, 2022
Preprint under review for AMT (discussion: open, 2 comments)
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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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28 Sep 2022
Version 8 IMK/IAA MIPAS ozone profiles: nominal observation mode
Michael Kiefer, Thomas von Clarmann, Bernd Funke, Maya Garcia-Comas, Norbert Glatthor, Udo Grabowski, Michael Höpfner, Sylvia Kellmann, Alexandra Laeng, Andrea Linden, Manuel Lopez-Puertas, and Gabriele Stiller
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-257,https://doi.org/10.5194/amt-2022-257, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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28 Sep 2022
Solar occultation measurement of mesospheric ozone by SAGE III/ISS: Impact of variations along the line of sight caused by photochemistry
Murali Natarajan, Robert Damadeo, and David Flittner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-266,https://doi.org/10.5194/amt-2022-266, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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28 Sep 2022
High spatial resolution retrieval of cloud droplet size distribution from polarized observations of the cloudbow
Veronika Pörtge, Tobias Kölling, Anna Weber, Lea Volkmer, Claudia Emde, Tobias Zinner, and Bernhard Mayer
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-245,https://doi.org/10.5194/amt-2022-245, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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
Retrieving 3D distributions of atmospheric particles using Atmospheric Tomography with 3D Radiative Transfer – Part 1: Model description and Jacobian calculation
Jesse Loveridge, Aviad Levis, Larry Di Girolamo, Vadim Holodovsky, Linda Forster, Anthony B. Davis, and Yoav Y. Schechner
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-251,https://doi.org/10.5194/amt-2022-251, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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
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
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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26 Sep 2022
Drone-based meteorological observations up to the tropopause
Konrad Benedikt Bärfuss, Holger Schmithüsen, and Astrid Lampert
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-236,https://doi.org/10.5194/amt-2022-236, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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23 Sep 2022
Estimates of spatially complete, observational data-driven planetary boundary layer height over the contiguous United States
Zolal Ayazpour, Shiqi Tao, Dan Li, Amy Jo Scarino, Ralph E. Kuehn, and Kang Sun
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-235,https://doi.org/10.5194/amt-2022-235, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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22 Sep 2022
Simulation and sensitivity analysis for cloud and precipitation measurements via spaceborne millimeter wave radar
Leilei Kou, Zhengjian Lin, Haiyang Gao, Shujun Liao, and Piman Ding
EGUsphere, https://doi.org/10.5194/egusphere-2022-886,https://doi.org/10.5194/egusphere-2022-886, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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22 Sep 2022
Evaluation of open and closed path sampling systems for determination of emission rates of NH3 and CH4 with inverse dispersion modelling
Yolanda Maria Lemes, Christoph Häni, Jesper Nørlem Kamp, and Anders Feilberg
EGUsphere, https://doi.org/10.5194/egusphere-2022-867,https://doi.org/10.5194/egusphere-2022-867, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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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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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19 Sep 2022
Earth Observations from the Moon surface: dependence on lunar libration
Nick Gorkavyi, Nickolay Krotkov, and Alexander Marshak
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-158,https://doi.org/10.5194/amt-2022-158, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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19 Sep 2022
Use of machine learning to retrieve nitrogen dioxide with hyperspectral imagers in the ultraviolet and blue spectral range
Joanna Joiner, Sergey Marchenko, Zachary Fasnacht, Lok Lamsal, Can Li, Alexander Vasilkov, and Nickolay Krotkov
EGUsphere, https://doi.org/10.5194/egusphere-2022-806,https://doi.org/10.5194/egusphere-2022-806, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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16 Sep 2022
Accounting for surface reflectance spectral features in TROPOMI methane retrievals
Alba Lorente, Tobias Borsdorff, Mari C. Martinez-Velarte, and Jochen Landgraf
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-255,https://doi.org/10.5194/amt-2022-255, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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
Exploring geometrical stereoscopic aerosol top height retrieval from geostationary satellite imagery in East Asia
Minseok Kim, Jhoon Kim, Hyunkwang Lim, Seoyoung Lee, and Yeseul Cho
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-249,https://doi.org/10.5194/amt-2022-249, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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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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
Investigating the dependence of mineral dust depolarization on complex refractive index and size with a laboratory polarimeter at 180.0° lidar backscattering angle
Alain Miffre, Danaël Cholleton, Clément Noël, and Patrick Rairoux
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-192,https://doi.org/10.5194/amt-2022-192, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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12 Sep 2022
Characterization of offline analysis of particulate matter with FIGAERO-CIMS
Jing Cai, Kaspar Daellenbach, Cheng Wu, Yan Zheng, Feixue Zheng, Wei Du, Sophie Haslett, Qi Chen, Markku Kulmala, and Claudia Mohr
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-248,https://doi.org/10.5194/amt-2022-248, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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12 Sep 2022
Numerical experiments of in situ particle sampling relationships to surface and turbulent fluxes through Lagrangian coupled large eddy simulations
Hyungwon John Park, Jeffrey S. Reid, Livia S. Freire, Christopher Jackson, and David H. Richter
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-231,https://doi.org/10.5194/amt-2022-231, 2022
Preprint under review for AMT (discussion: open, 2 comments)
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12 Sep 2022
Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine learning-based prediction and assessment
Yilin Chen, Yuanjian Yang, and Meng Gao
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-225,https://doi.org/10.5194/amt-2022-225, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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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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08 Sep 2022
Retrieval of Terahertz Ice Cloud Properties from airborne measurements based on the irregularly shaped Voronoi ice scattering models
Ming Li, Husi Letu, Hiroshi Ishimoto, Shulei Li, Lei Liu, Takashi Y. Nakajima, Dabin Ji, Huazhe Shang, and Chong Shi
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-247,https://doi.org/10.5194/amt-2022-247, 2022
Preprint under review for AMT (discussion: open, 4 comments)
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08 Sep 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
EGUsphere, https://doi.org/10.5194/egusphere-2022-771,https://doi.org/10.5194/egusphere-2022-771, 2022
Preprint under review for AMT (discussion: open, 4 comments)
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08 Sep 2022
Theoretical assessment of the ability of the MicroCarb satellite city-scan observing mode to estimate urban CO2 emissions
Kai Wu, Paul I. Palmer, Dien Wu, Denis Jouglet, Liang Feng, and Tom Oda
EGUsphere, https://doi.org/10.5194/egusphere-2022-749,https://doi.org/10.5194/egusphere-2022-749, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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07 Sep 2022
Development of an SI-traceable transmission curve reference material to improve comparability of proton transfer reaction mass spectrometry measurements
David Robert Worton, Sergi Moreno, Kieran O'Daly, and Rupert Holzinger
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-243,https://doi.org/10.5194/amt-2022-243, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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07 Sep 2022
Satellite remote-sensing capability to assess tropospheric column ratios of formaldehyde and nitrogen dioxide: case study during the LISTOS 2018 field campaign
Matthew S. Johnson, Sajeev Philip, Rajesh Kumar, Aaron Naeger, Amir H. Souri, Jeffrey Geddes, Laura Judd, Scott Janz, and John Sullivan
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-237,https://doi.org/10.5194/amt-2022-237, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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07 Sep 2022
Airborne flux measurements of ammonia over the Southern Great Plains using chemical ionization mass spectrometry
Siegfried Schobesberger, Emma L. D'Ambro, Lejish Vettikkat, Ben H. Lee, Qiaoyun Peng, David M. Bell, John E. Shilling, Manish Shrivastava, Mikhail Pekour, Jerome Fast, and Joel A. Thornton
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-244,https://doi.org/10.5194/amt-2022-244, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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07 Sep 2022
A new accurate low-cost instrument for fast synchronized spatial measurements of light spectra
Bert G. Heusinkveld, Wouter B. Mol, and Chiel C. van Heerwaarden
EGUsphere, https://doi.org/10.5194/egusphere-2022-726,https://doi.org/10.5194/egusphere-2022-726, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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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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06 Sep 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
EGUsphere, https://doi.org/10.5194/egusphere-2022-880,https://doi.org/10.5194/egusphere-2022-880, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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05 Sep 2022
Validation of Aeolus wind profiles using ground-based lidar and radiosonde observations at La Réunion Island and the Observatoire de Haute Provence
Mathieu Ratynski, Sergey Khaykin, Alain Hauchecorne, Robin Wing, Jean-Pierre Cammas, Yann Hello, and Philippe Keckhut
EGUsphere, https://doi.org/10.5194/egusphere-2022-822,https://doi.org/10.5194/egusphere-2022-822, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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02 Sep 2022
Automating the Analysis of Hailstone Layers
Joshua Stephen Soderholm and Matthew Robert Kumjian
EGUsphere, https://doi.org/10.5194/egusphere-2022-675,https://doi.org/10.5194/egusphere-2022-675, 2022
Preprint under review for AMT (discussion: open, 1 comment)
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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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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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Quantitative Chemical Assay of Nanogram-Level PM Using Aerosol Mass Spectrometry: Characterization of Particles Collected from Uncrewed Atmospheric Measurement Platforms
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Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2022-246,https://doi.org/10.5194/amt-2022-246, 2022
Preprint under review for AMT (discussion: open, 0 comments)
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