Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT

Volume 13, issue 12

Volumes and issues

Volume 13, issue 12

Volumes and issues
30 Nov 2020
Effects of clouds on the UV Absorbing Aerosol Index from TROPOMI
Maurits L. Kooreman, Piet Stammes, Victor Trees, Maarten Sneep, L. Gijsbert Tilstra, Martin de Graaf, Deborah C. Stein Zweers, Ping Wang, Olaf N. E. Tuinder, and J. Pepijn Veefkind
Atmos. Meas. Tech., 13, 6407–6426, https://doi.org/10.5194/amt-13-6407-2020,https://doi.org/10.5194/amt-13-6407-2020, 2020
Short summary
30 Nov 2020
Evaluation of optical particulate matter sensors under realistic conditions of strong and mild urban pollution
Adnan Masic, Dzevad Bibic, Boran Pikula, Almir Blazevic, Jasna Huremovic, and Sabina Zero
Atmos. Meas. Tech., 13, 6427–6443, https://doi.org/10.5194/amt-13-6427-2020,https://doi.org/10.5194/amt-13-6427-2020, 2020
Short summary
01 Dec 2020
Interpolation uncertainty of atmospheric temperature profiles
Alessandro Fassò, Michael Sommer, and Christoph von Rohden
Atmos. Meas. Tech., 13, 6445–6458, https://doi.org/10.5194/amt-13-6445-2020,https://doi.org/10.5194/amt-13-6445-2020, 2020
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02 Dec 2020
Improved cloud detection over sea ice and snow during Arctic summer using MERIS data
Larysa Istomina, Henrik Marks, Marcus Huntemann, Georg Heygster, and Gunnar Spreen
Atmos. Meas. Tech., 13, 6459–6472, https://doi.org/10.5194/amt-13-6459-2020,https://doi.org/10.5194/amt-13-6459-2020, 2020
03 Dec 2020
Best practices for precipitation sample storage for offline studies of ice nucleation in marine and coastal environments
Charlotte M. Beall, Dolan Lucero, Thomas C. Hill, Paul J. DeMott, M. Dale Stokes, and Kimberly A. Prather
Atmos. Meas. Tech., 13, 6473–6486, https://doi.org/10.5194/amt-13-6473-2020,https://doi.org/10.5194/amt-13-6473-2020, 2020
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03 Dec 2020
Simultaneous detection of atmospheric HONO and NO2 utilising an IBBCEAS system based on an iterative algorithm
Ke Tang, Min Qin, Wu Fang, Jun Duan, Fanhao Meng, Kaidi Ye, Helu Zhang, Pinhua Xie, Yabai He, Wenbin Xu, Jianguo Liu, and Wenqing Liu
Atmos. Meas. Tech., 13, 6487–6499, https://doi.org/10.5194/amt-13-6487-2020,https://doi.org/10.5194/amt-13-6487-2020, 2020
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04 Dec 2020
Comparison of formaldehyde tropospheric columns in Australia and New Zealand using MAX-DOAS, FTIR and TROPOMI
Robert G. Ryan, Jeremy D. Silver, Richard Querel, Dan Smale, Steve Rhodes, Matt Tully, Nicholas Jones, and Robyn Schofield
Atmos. Meas. Tech., 13, 6501–6519, https://doi.org/10.5194/amt-13-6501-2020,https://doi.org/10.5194/amt-13-6501-2020, 2020
Short summary
04 Dec 2020
Tomographic retrieval algorithm of OH concentration profiles using double spatial heterodyne spectrometers
Yuan An, Jinji Ma, Yibo Gao, Wei Xiong, and Xianhua Wang
Atmos. Meas. Tech., 13, 6521–6542, https://doi.org/10.5194/amt-13-6521-2020,https://doi.org/10.5194/amt-13-6521-2020, 2020
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04 Dec 2020
Real-time estimation of airflow vector based on lidar observations for preview control
Ryota Kikuchi, Takashi Misaka, Shigeru Obayashi, and Hamaki Inokuchi
Atmos. Meas. Tech., 13, 6543–6558, https://doi.org/10.5194/amt-13-6543-2020,https://doi.org/10.5194/amt-13-6543-2020, 2020
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04 Dec 2020
Atmospheric observations with E-band microwave links – challenges and opportunities
Martin Fencl, Michal Dohnal, Pavel Valtr, Martin Grabner, and Vojtěch Bareš
Atmos. Meas. Tech., 13, 6559–6578, https://doi.org/10.5194/amt-13-6559-2020,https://doi.org/10.5194/amt-13-6559-2020, 2020
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07 Dec 2020
Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans
Ioannis Cheliotis, Elsa Dieudonné, Hervé Delbarre, Anton Sokolov, Egor Dmitriev, Patrick Augustin, and Marc Fourmentin
Atmos. Meas. Tech., 13, 6579–6592, https://doi.org/10.5194/amt-13-6579-2020,https://doi.org/10.5194/amt-13-6579-2020, 2020
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07 Dec 2020
Improvement of numerical weather prediction model analysis during fog conditions through the assimilation of ground-based microwave radiometer observations: a 1D-Var study
Pauline Martinet, Domenico Cimini, Frédéric Burnet, Benjamin Ménétrier, Yann Michel, and Vinciane Unger
Atmos. Meas. Tech., 13, 6593–6611, https://doi.org/10.5194/amt-13-6593-2020,https://doi.org/10.5194/amt-13-6593-2020, 2020
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07 Dec 2020
Design and field campaign validation of a multi-rotor unmanned aerial vehicle and optical particle counter
Joseph Girdwood, Helen Smith, Warren Stanley, Zbigniew Ulanowski, Chris Stopford, Charles Chemel, Konstantinos-Matthaios Doulgeris, David Brus, David Campbell, and Robert Mackenzie
Atmos. Meas. Tech., 13, 6613–6630, https://doi.org/10.5194/amt-13-6613-2020,https://doi.org/10.5194/amt-13-6613-2020, 2020
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09 Dec 2020
A new method for operating a continuous-flow diffusion chamber to investigate immersion freezing: assessment and performance study
Gourihar Kulkarni, Naruki Hiranuma, Ottmar Möhler, Kristina Höhler, Swarup China, Daniel J. Cziczo, and Paul J. DeMott
Atmos. Meas. Tech., 13, 6631–6643, https://doi.org/10.5194/amt-13-6631-2020,https://doi.org/10.5194/amt-13-6631-2020, 2020
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09 Dec 2020
Detecting the melting layer with a micro rain radar using a neural network approach
Maren Brast and Piet Markmann
Atmos. Meas. Tech., 13, 6645–6656, https://doi.org/10.5194/amt-13-6645-2020,https://doi.org/10.5194/amt-13-6645-2020, 2020
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09 Dec 2020
Mass spectrometric multiple soil-gas flux measurement system with a portable high-resolution mass spectrometer (MULTUM) coupled to an automatic chamber for continuous field observations
Noriko Nakayama, Yo Toma, Yusuke Iwai, Hiroshi Furutani, Toshinobu Hondo, Ryusuke Hatano, and Michisato Toyoda
Atmos. Meas. Tech., 13, 6657–6673, https://doi.org/10.5194/amt-13-6657-2020,https://doi.org/10.5194/amt-13-6657-2020, 2020
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09 Dec 2020
A novel lidar gradient cluster analysis method of nocturnal boundary layer detection during air pollution episodes
Yinchao Zhang, Su Chen, Siying Chen, He Chen, and Pan Guo
Atmos. Meas. Tech., 13, 6675–6689, https://doi.org/10.5194/amt-13-6675-2020,https://doi.org/10.5194/amt-13-6675-2020, 2020
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09 Dec 2020
| Highlight paper
Combined use of Mie–Raman and fluorescence lidar observations for improving aerosol characterization: feasibility experiment
Igor Veselovskii, Qiaoyun Hu, Philippe Goloub, Thierry Podvin, Mikhail Korenskiy, Olivier Pujol, Oleg Dubovik, and Anton Lopatin
Atmos. Meas. Tech., 13, 6691–6701, https://doi.org/10.5194/amt-13-6691-2020,https://doi.org/10.5194/amt-13-6691-2020, 2020
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15 Dec 2020
New technique for high-precision, simultaneous measurements of CH4, N2O and CO2 concentrations; isotopic and elemental ratios of N2, O2 and Ar; and total air content in ice cores by wet extraction
Ikumi Oyabu, Kenji Kawamura, Kyotaro Kitamura, Remi Dallmayr, Akihiro Kitamura, Chikako Sawada, Jeffrey P. Severinghaus, Ross Beaudette, Anaïs Orsi, Satoshi Sugawara, Shigeyuki Ishidoya, Dorthe Dahl-Jensen, Kumiko Goto-Azuma, Shuji Aoki, and Takakiyo Nakazawa
Atmos. Meas. Tech., 13, 6703–6731, https://doi.org/10.5194/amt-13-6703-2020,https://doi.org/10.5194/amt-13-6703-2020, 2020
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15 Dec 2020
| Highlight paper
Quantifying CO2 emissions of a city with the Copernicus Anthropogenic CO2 Monitoring satellite mission
Gerrit Kuhlmann, Dominik Brunner, Grégoire Broquet, and Yasjka Meijer
Atmos. Meas. Tech., 13, 6733–6754, https://doi.org/10.5194/amt-13-6733-2020,https://doi.org/10.5194/amt-13-6733-2020, 2020
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15 Dec 2020
Quantifying the impact of aerosol scattering on the retrieval of methane from airborne remote sensing measurements
Yunxia Huang, Vijay Natraj, Zhao-Cheng Zeng, Pushkar Kopparla, and Yuk L. Yung
Atmos. Meas. Tech., 13, 6755–6769, https://doi.org/10.5194/amt-13-6755-2020,https://doi.org/10.5194/amt-13-6755-2020, 2020
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15 Dec 2020
Dissecting effects of orbital drift of polar-orbiting satellites on accuracy and trends of climate data records of cloud fractional cover
Jędrzej S. Bojanowski and Jan P. Musiał
Atmos. Meas. Tech., 13, 6771–6788, https://doi.org/10.5194/amt-13-6771-2020,https://doi.org/10.5194/amt-13-6771-2020, 2020
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15 Dec 2020
TROPOMI aerosol products: evaluation and observations of synoptic-scale carbonaceous aerosol plumes during 2018–2020
Omar Torres, Hiren Jethva, Changwoo Ahn, Glen Jaross, and Diego G. Loyola
Atmos. Meas. Tech., 13, 6789–6806, https://doi.org/10.5194/amt-13-6789-2020,https://doi.org/10.5194/amt-13-6789-2020, 2020
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16 Dec 2020
Aqueous particle generation with a 3D printed nebulizer
Michael Rösch and Daniel J. Cziczo
Atmos. Meas. Tech., 13, 6807–6812, https://doi.org/10.5194/amt-13-6807-2020,https://doi.org/10.5194/amt-13-6807-2020, 2020
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16 Dec 2020
Probabilistic analysis of ambiguities in radar echo direction of arrival from meteors
Daniel Kastinen and Johan Kero
Atmos. Meas. Tech., 13, 6813–6835, https://doi.org/10.5194/amt-13-6813-2020,https://doi.org/10.5194/amt-13-6813-2020, 2020
Short summary
16 Dec 2020
Validation of SMILES HCl profiles over a wide range from the stratosphere to the lower thermosphere
Seidai Nara, Tomohiro O. Sato, Takayoshi Yamada, Tamaki Fujinawa, Kota Kuribayashi, Takeshi Manabe, Lucien Froidevaux, Nathaniel J. Livesey, Kaley A. Walker, Jian Xu, Franz Schreier, Yvan J. Orsolini, Varavut Limpasuvan, Nario Kuno, and Yasuko Kasai
Atmos. Meas. Tech., 13, 6837–6852, https://doi.org/10.5194/amt-13-6837-2020,https://doi.org/10.5194/amt-13-6837-2020, 2020
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16 Dec 2020
Absolute calibration method for frequency-modulated continuous wave (FMCW) cloud radars based on corner reflectors
Felipe Toledo, Julien Delanoë, Martial Haeffelin, Jean-Charles Dupont, Susana Jorquera, and Christophe Le Gac
Atmos. Meas. Tech., 13, 6853–6875, https://doi.org/10.5194/amt-13-6853-2020,https://doi.org/10.5194/amt-13-6853-2020, 2020
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18 Dec 2020
A cavity-enhanced ultraviolet absorption instrument for high-precision, fast-time-response ozone measurements
Reem A. Hannun, Andrew K. Swanson, Steven A. Bailey, Thomas F. Hanisco, T. Paul Bui, Ilann Bourgeois, Jeff Peischl, and Thomas B. Ryerson
Atmos. Meas. Tech., 13, 6877–6887, https://doi.org/10.5194/amt-13-6877-2020,https://doi.org/10.5194/amt-13-6877-2020, 2020
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18 Dec 2020
Retrieved wind speed from the Orbiting Carbon Observatory-2
Robert R. Nelson, Annmarie Eldering, David Crisp, Aronne J. Merrelli, and Christopher W. O'Dell
Atmos. Meas. Tech., 13, 6889–6899, https://doi.org/10.5194/amt-13-6889-2020,https://doi.org/10.5194/amt-13-6889-2020, 2020
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18 Dec 2020
Determining cloud thermodynamic phase from the polarized Micro Pulse Lidar
Jasper R. Lewis, James R. Campbell, Sebastian A. Stewart, Ivy Tan, Ellsworth J. Welton, and Simone Lolli
Atmos. Meas. Tech., 13, 6901–6913, https://doi.org/10.5194/amt-13-6901-2020,https://doi.org/10.5194/amt-13-6901-2020, 2020
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18 Dec 2020
Ozone deposition to a coastal sea: comparison of eddy covariance observations with reactive air–sea exchange models
David C. Loades, Mingxi Yang, Thomas G. Bell, Adam R. Vaughan, Ryan J. Pound, Stefan Metzger, James D. Lee, and Lucy J. Carpenter
Atmos. Meas. Tech., 13, 6915–6931, https://doi.org/10.5194/amt-13-6915-2020,https://doi.org/10.5194/amt-13-6915-2020, 2020
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18 Dec 2020
Microwave single-scattering properties of non-spheroidal raindrops
Robin Ekelund, Patrick Eriksson, and Michael Kahnert
Atmos. Meas. Tech., 13, 6933–6944, https://doi.org/10.5194/amt-13-6933-2020,https://doi.org/10.5194/amt-13-6933-2020, 2020
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21 Dec 2020
Effects of the prewhitening method, the time granularity, and the time segmentation on the Mann–Kendall trend detection and the associated Sen's slope
Martine Collaud Coen, Elisabeth Andrews, Alessandro Bigi, Giovanni Martucci, Gonzague Romanens, Frédéric P. A. Vogt, and Laurent Vuilleumier
Atmos. Meas. Tech., 13, 6945–6964, https://doi.org/10.5194/amt-13-6945-2020,https://doi.org/10.5194/amt-13-6945-2020, 2020
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21 Dec 2020
Integrated System for Atmospheric Boundary Layer Height Estimation (ISABLE) using a ceilometer and microwave radiometer
Jae-Sik Min, Moon-Soo Park, Jung-Hoon Chae, and Minsoo Kang
Atmos. Meas. Tech., 13, 6965–6987, https://doi.org/10.5194/amt-13-6965-2020,https://doi.org/10.5194/amt-13-6965-2020, 2020
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21 Dec 2020
Applying deep learning to NASA MODIS data to create a community record of marine low-cloud mesoscale morphology
Tianle Yuan, Hua Song, Robert Wood, Johannes Mohrmann, Kerry Meyer, Lazaros Oreopoulos, and Steven Platnick
Atmos. Meas. Tech., 13, 6989–6997, https://doi.org/10.5194/amt-13-6989-2020,https://doi.org/10.5194/amt-13-6989-2020, 2020
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21 Dec 2020
Validation of the TROPOspheric Monitoring Instrument (TROPOMI) surface UV radiation product
Kaisa Lakkala, Jukka Kujanpää, Colette Brogniez, Nicolas Henriot, Antti Arola, Margit Aun, Frédérique Auriol, Alkiviadis F. Bais, Germar Bernhard, Veerle De Bock, Maxime Catalfamo, Christine Deroo, Henri Diémoz, Luca Egli, Jean-Baptiste Forestier, Ilias Fountoulakis, Katerina Garane, Rosa Delia Garcia, Julian Gröbner, Seppo Hassinen, Anu Heikkilä, Stuart Henderson, Gregor Hülsen, Bjørn Johnsen, Niilo Kalakoski, Angelos Karanikolas, Tomi Karppinen, Kevin Lamy, Sergio F. León-Luis, Anders V. Lindfors, Jean-Marc Metzger, Fanny Minvielle, Harel B. Muskatel, Thierry Portafaix, Alberto Redondas, Ricardo Sanchez, Anna Maria Siani, Tove Svendby, and Johanna Tamminen
Atmos. Meas. Tech., 13, 6999–7024, https://doi.org/10.5194/amt-13-6999-2020,https://doi.org/10.5194/amt-13-6999-2020, 2020
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21 Dec 2020
Cirrus cloud shape detection by tomographic extinction retrievals from infrared limb emission sounder measurements
Jörn Ungermann, Irene Bartolome, Sabine Griessbach, Reinhold Spang, Christian Rolf, Martina Krämer, Michael Höpfner, and Martin Riese
Atmos. Meas. Tech., 13, 7025–7045, https://doi.org/10.5194/amt-13-7025-2020,https://doi.org/10.5194/amt-13-7025-2020, 2020
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22 Dec 2020
Global cloud property models for real-time triage on board visible–shortwave infrared spectrometers
Macey W. Sandford, David R. Thompson, Robert O. Green, Brian H. Kahn, Raffaele Vitulli, Steve Chien, Amruta Yelamanchili, and Winston Olson-Duvall
Atmos. Meas. Tech., 13, 7047–7057, https://doi.org/10.5194/amt-13-7047-2020,https://doi.org/10.5194/amt-13-7047-2020, 2020
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23 Dec 2020
SPIN modification for low-temperature experiments
André Welti, Kimmo Korhonen, Pasi Miettinen, Ana A. Piedehierro, Yrjö Viisanen, Annele Virtanen, and Ari Laaksonen
Atmos. Meas. Tech., 13, 7059–7067, https://doi.org/10.5194/amt-13-7059-2020,https://doi.org/10.5194/amt-13-7059-2020, 2020
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23 Dec 2020
Emissions relationships in western forest fire plumes – Part 1: Reducing the effect of mixing errors on emission factors
Robert B. Chatfield, Meinrat O. Andreae, ARCTAS Science Team, and SEAC4RS Science Team
Atmos. Meas. Tech., 13, 7069–7096, https://doi.org/10.5194/amt-13-7069-2020,https://doi.org/10.5194/amt-13-7069-2020, 2020
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23 Dec 2020
A single-beam photothermal interferometer for in situ measurements of aerosol light absorption
Bradley Visser, Jannis Röhrbein, Peter Steigmeier, Luka Drinovec, Griša Močnik, and Ernest Weingartner
Atmos. Meas. Tech., 13, 7097–7111, https://doi.org/10.5194/amt-13-7097-2020,https://doi.org/10.5194/amt-13-7097-2020, 2020
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