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11 Nov 2020

Validation of Aeolus wind products above the Atlantic Ocean

Holger Baars, Alina Herzog, Birgit Heese, Kevin Ohneiser, Karsten Hanbuch, Julian Hofer, Zhenping Yin, Ronny Engelmann, and Ulla Wandinger

Atmos. Meas. Tech., 13, 6007–6024, https://doi.org/10.5194/amt-13-6007-2020,https://doi.org/10.5194/amt-13-6007-2020, 2020

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26 Oct 2020

A technical description of the Balloon Lidar Experiment (BOLIDE)

Bernd Kaifler, Dimitry Rempel, Philipp Roßi, Christian Büdenbender, Natalie Kaifler, and Volodymyr Baturkin

Atmos. Meas. Tech., 13, 5681–5695, https://doi.org/10.5194/amt-13-5681-2020,https://doi.org/10.5194/amt-13-5681-2020, 2020

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16 Oct 2020

A feasibility study to use machine learning as an inversion algorithm for aerosol profile and property retrieval from multi-axis differential absorption spectroscopy measurements

Yun Dong, Elena Spinei, and Anuj Karpatne

Atmos. Meas. Tech., 13, 5537–5550, https://doi.org/10.5194/amt-13-5537-2020,https://doi.org/10.5194/amt-13-5537-2020, 2020

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07 Sep 2020

A compact QCL spectrometer for mobile, high-precision methane sensing aboard drones

Béla Tuzson, Manuel Graf, Jonas Ravelid, Philipp Scheidegger, André Kupferschmid, Herbert Looser, Randulph Paulo Morales, and Lukas Emmenegger

Atmos. Meas. Tech., 13, 4715–4726, https://doi.org/10.5194/amt-13-4715-2020,https://doi.org/10.5194/amt-13-4715-2020, 2020

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17 Aug 2020

A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

Paolo Laj, Alessandro Bigi, Clémence Rose, Elisabeth Andrews, Cathrine Lund Myhre, Martine Collaud Coen, Yong Lin, Alfred Wiedensohler, Michael Schulz, John A. Ogren, Markus Fiebig, Jonas Gliß, Augustin Mortier, Marco Pandolfi, Tuukka Petäja, Sang-Woo Kim, Wenche Aas, Jean-Philippe Putaud, Olga Mayol-Bracero, Melita Keywood, Lorenzo Labrador, Pasi Aalto, Erik Ahlberg, Lucas Alados Arboledas, Andrés Alastuey, Marcos Andrade, Begoña Artíñano, Stina Ausmeel, Todor Arsov, Eija Asmi, John Backman, Urs Baltensperger, Susanne Bastian, Olaf Bath, Johan Paul Beukes, Benjamin T. Brem, Nicolas Bukowiecki, Sébastien Conil, Cedric Couret, Derek Day, Wan Dayantolis, Anna Degorska, Konstantinos Eleftheriadis, Prodromos Fetfatzis, Olivier Favez, Harald Flentje, Maria I. Gini, Asta Gregorič, Martin Gysel-Beer, A. Gannet Hallar, Jenny Hand, Andras Hoffer, Christoph Hueglin, Rakesh K. Hooda, Antti Hyvärinen, Ivo Kalapov, Nikos Kalivitis, Anne Kasper-Giebl, Jeong Eun Kim, Giorgos Kouvarakis, Irena Kranjc, Radovan Krejci, Markku Kulmala, Casper Labuschagne, Hae-Jung Lee, Heikki Lihavainen, Neng-Huei Lin, Gunter Löschau, Krista Luoma, Angela Marinoni, Sebastiao Martins Dos Santos, Frank Meinhardt, Maik Merkel, Jean-Marc Metzger, Nikolaos Mihalopoulos, Nhat Anh Nguyen, Jakub Ondracek, Noemi Pérez, Maria Rita Perrone, Jean-Eudes Petit, David Picard, Jean-Marc Pichon, Veronique Pont, Natalia Prats, Anthony Prenni, Fabienne Reisen, Salvatore Romano, Karine Sellegri, Sangeeta Sharma, Gerhard Schauer, Patrick Sheridan, James Patrick Sherman, Maik Schütze, Andreas Schwerin, Ralf Sohmer, Mar Sorribas, Martin Steinbacher, Junying Sun, Gloria Titos, Barbara Toczko, Thomas Tuch, Pierre Tulet, Peter Tunved, Ville Vakkari, Fernando Velarde, Patricio Velasquez, Paolo Villani, Sterios Vratolis, Sheng-Hsiang Wang, Kay Weinhold, Rolf Weller, Margarita Yela, Jesus Yus-Diez, Vladimir Zdimal, Paul Zieger, and Nadezda Zikova

Atmos. Meas. Tech., 13, 4353–4392, https://doi.org/10.5194/amt-13-4353-2020,https://doi.org/10.5194/amt-13-4353-2020, 2020

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10 Aug 2020

An overview of and issues with sky radiometer technology and SKYNET

Teruyuki Nakajima, Monica Campanelli, Huizheng Che, Victor Estellés, Hitoshi Irie, Sang-Woo Kim, Jhoon Kim, Dong Liu, Tomoaki Nishizawa, Govindan Pandithurai, Vijay Kumar Soni, Boossarasiri Thana, Nas-Urt Tugjsurn, Kazuma Aoki, Sujung Go, Makiko Hashimoto, Akiko Higurashi, Stelios Kazadzis, Pradeep Khatri, Natalia Kouremeti, Rei Kudo, Franco Marenco, Masahiro Momoi, Shantikumar S. Ningombam, Claire L. Ryder, Akihiro Uchiyama, and Akihiro Yamazaki

Atmos. Meas. Tech., 13, 4195–4218, https://doi.org/10.5194/amt-13-4195-2020,https://doi.org/10.5194/amt-13-4195-2020, 2020

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28 May 2020

Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool

Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow

Atmos. Meas. Tech., 13, 2733–2749, https://doi.org/10.5194/amt-13-2733-2020,https://doi.org/10.5194/amt-13-2733-2020, 2020

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28 May 2020

N₂O isotopocule measurements using laser spectroscopy: analyzer characterization and intercomparison

Stephen J. Harris, Jesper Liisberg, Longlong Xia, Jing Wei, Kerstin Zeyer, Longfei Yu, Matti Barthel, Benjamin Wolf, Bryce F. J. Kelly, Dioni I. Cendón, Thomas Blunier, Johan Six, and Joachim Mohn

Atmos. Meas. Tech., 13, 2797–2831, https://doi.org/10.5194/amt-13-2797-2020,https://doi.org/10.5194/amt-13-2797-2020, 2020

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20 May 2020

Simultaneous measurements of the relative-humidity-dependent aerosol light extinction, scattering, absorption, and single-scattering albedo with a humidified cavity-enhanced albedometer

Jiacheng Zhou, Xuezhe Xu, Weixiong Zhao, Bo Fang, Qianqian Liu, Yuanqing Cai, Weijun Zhang, Dean S. Venables, and Weidong Chen

Atmos. Meas. Tech., 13, 2623–2634, https://doi.org/10.5194/amt-13-2623-2020,https://doi.org/10.5194/amt-13-2623-2020, 2020

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13 May 2020

Microwave and submillimeter wave scattering of oriented ice particles

Manfred Brath, Robin Ekelund, Patrick Eriksson, Oliver Lemke, and Stefan A. Buehler

Atmos. Meas. Tech., 13, 2309–2333, https://doi.org/10.5194/amt-13-2309-2020,https://doi.org/10.5194/amt-13-2309-2020, 2020

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11 May 2020

A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations

Chenxi Wang, Steven Platnick, Kerry Meyer, Zhibo Zhang, and Yaping Zhou

Atmos. Meas. Tech., 13, 2257–2277, https://doi.org/10.5194/amt-13-2257-2020,https://doi.org/10.5194/amt-13-2257-2020, 2020

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23 Apr 2020

Intercomparison of wind observations from the European Space Agency's Aeolus satellite mission and the ALADIN Airborne Demonstrator

Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Alexander Geiß, and Oliver Reitebuch

Atmos. Meas. Tech., 13, 2075–2097, https://doi.org/10.5194/amt-13-2075-2020,https://doi.org/10.5194/amt-13-2075-2020, 2020

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31 Mar 2020

Real-time pollen monitoring using digital holography

Eric Sauvageat, Yanick Zeder, Kevin Auderset, Bertrand Calpini, Bernard Clot, Benoît Crouzy, Thomas Konzelmann, Gian Lieberherr, Fiona Tummon, and Konstantina Vasilatou

Atmos. Meas. Tech., 13, 1539–1550, https://doi.org/10.5194/amt-13-1539-2020,https://doi.org/10.5194/amt-13-1539-2020, 2020

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17 Feb 2020

Quantifying hail size distributions from the sky – application of drone aerial photogrammetry

Joshua S. Soderholm, Matthew R. Kumjian, Nicholas McCarthy, Paula Maldonado, and Minzheng Wang

Atmos. Meas. Tech., 13, 747–754, https://doi.org/10.5194/amt-13-747-2020,https://doi.org/10.5194/amt-13-747-2020, 2020

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13 Jan 2020

First data set of H₂O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI)

Andreas Schneider, Tobias Borsdorff, Joost aan de Brugh, Franziska Aemisegger, Dietrich G. Feist, Rigel Kivi, Frank Hase, Matthias Schneider, and Jochen Landgraf

Atmos. Meas. Tech., 13, 85–100, https://doi.org/10.5194/amt-13-85-2020,https://doi.org/10.5194/amt-13-85-2020, 2020

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25 Nov 2019

Low-temperature triple-capillary cryostat for ice crystal growth studies

Brian D. Swanson and Jon Nelson

Atmos. Meas. Tech., 12, 6143–6152, https://doi.org/10.5194/amt-12-6143-2019,https://doi.org/10.5194/amt-12-6143-2019, 2019

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24 Sep 2019

A Tale of Two Dust Storms: analysis of a complex dust event in the Middle East

Steven D. Miller, Louie D. Grasso, Qijing Bian, Sonia M. Kreidenweis, Jack F. Dostalek, Jeremy E. Solbrig, Jennifer Bukowski, Susan C. van den Heever, Yi Wang, Xiaoguang Xu, Jun Wang, Annette L. Walker, Ting-Chi Wu, Milija Zupanski, Christine Chiu, and Jeffrey S. Reid

Atmos. Meas. Tech., 12, 5101–5118, https://doi.org/10.5194/amt-12-5101-2019,https://doi.org/10.5194/amt-12-5101-2019, 2019

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04 Jul 2019

Description of a formaldehyde retrieval algorithm for the Geostationary Environment Monitoring Spectrometer (GEMS)

Hyeong-Ahn Kwon, Rokjin J. Park, Gonzalo González Abad, Kelly Chance, Thomas P. Kurosu, Jhoon Kim, Isabelle De Smedt, Michel Van Roozendael, Enno Peters, and John Burrows

Atmos. Meas. Tech., 12, 3551–3571, https://doi.org/10.5194/amt-12-3551-2019,https://doi.org/10.5194/amt-12-3551-2019, 2019

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27 Jun 2019

Evaluating biases in filter-based aerosol absorption measurements using photoacoustic spectroscopy

Nicholas W. Davies, Cathryn Fox, Kate Szpek, Michael I. Cotterell, Jonathan W. Taylor, James D. Allan, Paul I. Williams, Jamie Trembath, Jim M. Haywood, and Justin M. Langridge

Atmos. Meas. Tech., 12, 3417–3434, https://doi.org/10.5194/amt-12-3417-2019,https://doi.org/10.5194/amt-12-3417-2019, 2019

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20 Jun 2019

Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space

Xiaoguang Xu, Jun Wang, Yi Wang, Jing Zeng, Omar Torres, Jeffrey S. Reid, Steven D. Miller, J. Vanderlei Martins, and Lorraine A. Remer

Atmos. Meas. Tech., 12, 3269–3288, https://doi.org/10.5194/amt-12-3269-2019,https://doi.org/10.5194/amt-12-3269-2019, 2019

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13 Jun 2019

A sampler for atmospheric volatile organic compounds by copter unmanned aerial vehicles

Karena A. McKinney, Daniel Wang, Jianhuai Ye, Jean-Baptiste de Fouchier, Patricia C. Guimarães, Carla E. Batista, Rodrigo A. F. Souza, Eliane G. Alves, Dasa Gu, Alex B. Guenther, and Scot T. Martin

Atmos. Meas. Tech., 12, 3123–3135, https://doi.org/10.5194/amt-12-3123-2019,https://doi.org/10.5194/amt-12-3123-2019, 2019

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06 Jun 2019

Aerosol size distributions during the Atmospheric Tomography Mission (ATom): methods, uncertainties, and data products

Charles A. Brock, Christina Williamson, Agnieszka Kupc, Karl D. Froyd, Frank Erdesz, Nicholas Wagner, Matthews Richardson, Joshua P. Schwarz, Ru-Shan Gao, Joseph M. Katich, Pedro Campuzano-Jost, Benjamin A. Nault, Jason C. Schroder, Jose L. Jimenez, Bernadett Weinzierl, Maximilian Dollner, ThaoPaul Bui, and Daniel M. Murphy

Atmos. Meas. Tech., 12, 3081–3099, https://doi.org/10.5194/amt-12-3081-2019,https://doi.org/10.5194/amt-12-3081-2019, 2019

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26 Feb 2019

Revisiting the differential freezing nucleus spectra derived from drop-freezing experiments: methods of calculation, applications, and confidence limits

Gabor Vali

Atmos. Meas. Tech., 12, 1219–1231, https://doi.org/10.5194/amt-12-1219-2019,https://doi.org/10.5194/amt-12-1219-2019, 2019

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07 Jan 2019

A shape model of internally mixed soot particles derived from artificial surface tension

Hiroshi Ishimoto, Rei Kudo, and Kouji Adachi

Atmos. Meas. Tech., 12, 107–118, https://doi.org/10.5194/amt-12-107-2019,https://doi.org/10.5194/amt-12-107-2019, 2019

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09 Oct 2018

Mapping carbon monoxide pollution from space down to city scales with daily global coverage

Tobias Borsdorff, Joost aan de Brugh, Haili Hu, Otto Hasekamp, Ralf Sussmann, Markus Rettinger, Frank Hase, Jochen Gross, Matthias Schneider, Omaira Garcia, Wolfgang Stremme, Michel Grutter, Dietrich G. Feist, Sabrina G. Arnold, Martine De Mazière, Mahesh Kumar Sha, David F. Pollard, Matthäus Kiel, Coleen Roehl, Paul O. Wennberg, Geoffrey C. Toon, and Jochen Landgraf

Atmos. Meas. Tech., 11, 5507–5518, https://doi.org/10.5194/amt-11-5507-2018,https://doi.org/10.5194/amt-11-5507-2018, 2018

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24 Sep 2018

Cleaning up our water: reducing interferences from nonhomogeneous freezing of “pure” water in droplet freezing assays of ice-nucleating particles

Michael Polen, Thomas Brubaker, Joshua Somers, and Ryan C. Sullivan

Atmos. Meas. Tech., 11, 5315–5334, https://doi.org/10.5194/amt-11-5315-2018,https://doi.org/10.5194/amt-11-5315-2018, 2018

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27 Jun 2018

Quality assessment of the Ozone_cci Climate Research Data Package (release 2017) – Part 2: Ground-based validation of nadir ozone profile data products

Arno Keppens, Jean-Christopher Lambert, José Granville, Daan Hubert, Tijl Verhoelst, Steven Compernolle, Barry Latter, Brian Kerridge, Richard Siddans, Anne Boynard, Juliette Hadji-Lazaro, Cathy Clerbaux, Catherine Wespes, Daniel R. Hurtmans, Pierre-François Coheur, Jacob C. A. van Peet, Ronald J van der A, Katerina Garane, Maria Elissavet Koukouli, Dimitris S. Balis, Andy Delcloo, Rigel Kivi, Réné Stübi, Sophie Godin-Beekmann, Michel Van Roozendael, and Claus Zehner

Atmos. Meas. Tech., 11, 3769–3800, https://doi.org/10.5194/amt-11-3769-2018,https://doi.org/10.5194/amt-11-3769-2018, 2018

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11 Jun 2018

Airborne wind lidar observations over the North Atlantic in 2016 for the pre-launch validation of the satellite mission Aeolus

Oliver Lux, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Benjamin Witschas, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch

Atmos. Meas. Tech., 11, 3297–3322, https://doi.org/10.5194/amt-11-3297-2018,https://doi.org/10.5194/amt-11-3297-2018, 2018

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03 May 2018

Vertical wind velocity measurements using a five-hole probe with remotely piloted aircraft to study aerosol–cloud interactions

Radiance Calmer, Gregory C. Roberts, Jana Preissler, Kevin J. Sanchez, Solène Derrien, and Colin O'Dowd

Atmos. Meas. Tech., 11, 2583–2599, https://doi.org/10.5194/amt-11-2583-2018,https://doi.org/10.5194/amt-11-2583-2018, 2018

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06 Apr 2018

Intercomparison of middle-atmospheric wind in observations and models

Rolf Rüfenacht, Gerd Baumgarten, Jens Hildebrand, Franziska Schranz, Vivien Matthias, Gunter Stober, Franz-Josef Lübken, and Niklaus Kämpfer

Atmos. Meas. Tech., 11, 1971–1987, https://doi.org/10.5194/amt-11-1971-2018,https://doi.org/10.5194/amt-11-1971-2018, 2018

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06 Mar 2018

Atmospheric QBO and ENSO indices with high vertical resolution from GNSS radio occultation temperature measurements

Hallgeir Wilhelmsen, Florian Ladstädter, Barbara Scherllin-Pirscher, and Andrea K. Steiner

Atmos. Meas. Tech., 11, 1333–1346, https://doi.org/10.5194/amt-11-1333-2018,https://doi.org/10.5194/amt-11-1333-2018, 2018

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15 Jan 2018

A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring

Naomi Zimmerman, Albert A. Presto, Sriniwasa P. N. Kumar, Jason Gu, Aliaksei Hauryliuk, Ellis S. Robinson, Allen L. Robinson, and R. Subramanian

Atmos. Meas. Tech., 11, 291–313, https://doi.org/10.5194/amt-11-291-2018,https://doi.org/10.5194/amt-11-291-2018, 2018

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18 Sep 2017

Combining ground-based microwave radiometer and the AROME convective scale model through 1DVAR retrievals in complex terrain: an Alpine valley case study

Pauline Martinet, Domenico Cimini, Francesco De Angelis, Guylaine Canut, Vinciane Unger, Remi Guillot, Diane Tzanos, and Alexandre Paci

Atmos. Meas. Tech., 10, 3385–3402, https://doi.org/10.5194/amt-10-3385-2017,https://doi.org/10.5194/amt-10-3385-2017, 2017

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07 Mar 2017

Structural uncertainty in air mass factor calculation for NO₂ and HCHO satellite retrievals

Alba Lorente, K. Folkert Boersma, Huan Yu, Steffen Dörner, Andreas Hilboll, Andreas Richter, Mengyao Liu, Lok N. Lamsal, Michael Barkley, Isabelle De Smedt, Michel Van Roozendael, Yang Wang, Thomas Wagner, Steffen Beirle, Jin-Tai Lin, Nickolay Krotkov, Piet Stammes, Ping Wang, Henk J. Eskes, and Maarten Krol

Atmos. Meas. Tech., 10, 759–782, https://doi.org/10.5194/amt-10-759-2017,https://doi.org/10.5194/amt-10-759-2017, 2017

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27 Sep 2016

First characterization and validation of FORLI-HNO₃ vertical profiles retrieved from IASI/Metop

Gaétane Ronsmans, Bavo Langerock, Catherine Wespes, James W. Hannigan, Frank Hase, Tobias Kerzenmacher, Emmanuel Mahieu, Matthias Schneider, Dan Smale, Daniel Hurtmans, Martine De Mazière, Cathy Clerbaux, and Pierre-François Coheur

Atmos. Meas. Tech., 9, 4783–4801, https://doi.org/10.5194/amt-9-4783-2016,https://doi.org/10.5194/amt-9-4783-2016, 2016

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28 Jun 2016

Increasing the accuracy and temporal resolution of two-filter radon–222 measurements by correcting for the instrument response

Alan D. Griffiths, Scott D. Chambers, Alastair G. Williams, and Sylvester Werczynski

Atmos. Meas. Tech., 9, 2689–2707, https://doi.org/10.5194/amt-9-2689-2016,https://doi.org/10.5194/amt-9-2689-2016, 2016

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01 Jun 2016

High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES)

Glynn C. Hulley, Riley M. Duren, Francesca M. Hopkins, Simon J. Hook, Nick Vance, Pierre Guillevic, William R. Johnson, Bjorn T. Eng, Jonathan M. Mihaly, Veljko M. Jovanovic, Seth L. Chazanoff, Zak K. Staniszewski, Le Kuai, John Worden, Christian Frankenberg, Gerardo Rivera, Andrew D. Aubrey, Charles E. Miller, Nabin K. Malakar, Juan M. Sánchez Tomás, and Kendall T. Holmes

Atmos. Meas. Tech., 9, 2393–2408, https://doi.org/10.5194/amt-9-2393-2016,https://doi.org/10.5194/amt-9-2393-2016, 2016

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23 May 2016

Retrieving atmospheric turbulence information from regular commercial aircraft using Mode-S and ADS-B

Jacek M. Kopeć, Kamil Kwiatkowski, Siebren de Haan, and Szymon P. Malinowski

Atmos. Meas. Tech., 9, 2253–2265, https://doi.org/10.5194/amt-9-2253-2016,https://doi.org/10.5194/amt-9-2253-2016, 2016

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28 Apr 2016

Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Johannes Norberg, Ilkka I. Virtanen, Lassi Roininen, Juha Vierinen, Mikko Orispää, Kirsti Kauristie, and Markku S. Lehtinen

Atmos. Meas. Tech., 9, 1859–1869, https://doi.org/10.5194/amt-9-1859-2016,https://doi.org/10.5194/amt-9-1859-2016, 2016

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07 Mar 2016

The airborne mass spectrometer AIMS – Part 1: AIMS-H₂O for UTLS water vapor measurements

Stefan Kaufmann, Christiane Voigt, Tina Jurkat, Troy Thornberry, David W. Fahey, Ru-Shan Gao, Romy Schlage, Dominik Schäuble, and Martin Zöger

Atmos. Meas. Tech., 9, 939–953, https://doi.org/10.5194/amt-9-939-2016,https://doi.org/10.5194/amt-9-939-2016, 2016

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04 Mar 2016

Multi-instrument gravity-wave measurements over Tierra del Fuego and the Drake Passage – Part 1: Potential energies and vertical wavelengths from AIRS, COSMIC, HIRDLS, MLS-Aura, SAAMER, SABER and radiosondes

Corwin J. Wright, Neil P. Hindley, Andrew C. Moss, and Nicholas J. Mitchell

Atmos. Meas. Tech., 9, 877–908, https://doi.org/10.5194/amt-9-877-2016,https://doi.org/10.5194/amt-9-877-2016, 2016

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30 Oct 2015

Local- and regional-scale measurements of CH₄, δ¹³CH₄, and C₂H₆ in the Uintah Basin using a mobile stable isotope analyzer

C. W. Rella, J. Hoffnagle, Y. He, and S. Tajima

Atmos. Meas. Tech., 8, 4539–4559, https://doi.org/10.5194/amt-8-4539-2015,https://doi.org/10.5194/amt-8-4539-2015, 2015

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08 Sep 2015

The feasibility of water vapor sounding of the cloudy boundary layer using a differential absorption radar technique

M. D. Lebsock, K. Suzuki, L. F. Millán, and P. M. Kalmus

Atmos. Meas. Tech., 8, 3631–3645, https://doi.org/10.5194/amt-8-3631-2015,https://doi.org/10.5194/amt-8-3631-2015, 2015

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12 Mar 2015

A novel algorithm for detection of precipitation in tropical regions using PMW radiometers

D. Casella, G. Panegrossi, P. Sanò, L. Milani, M. Petracca, and S. Dietrich

Atmos. Meas. Tech., 8, 1217–1232, https://doi.org/10.5194/amt-8-1217-2015,https://doi.org/10.5194/amt-8-1217-2015, 2015

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18 Sep 2014

Smoothing error pitfalls

T. von Clarmann

Atmos. Meas. Tech., 7, 3023–3034, https://doi.org/10.5194/amt-7-3023-2014,https://doi.org/10.5194/amt-7-3023-2014, 2014

08 Aug 2014

EARLINET: towards an advanced sustainable European aerosol lidar network

G. Pappalardo, A. Amodeo, A. Apituley, A. Comeron, V. Freudenthaler, H. Linné, A. Ansmann, J. Bösenberg, G. D'Amico, I. Mattis, L. Mona, U. Wandinger, V. Amiridis, L. Alados-Arboledas, D. Nicolae, and M. Wiegner

Atmos. Meas. Tech., 7, 2389–2409, https://doi.org/10.5194/amt-7-2389-2014,https://doi.org/10.5194/amt-7-2389-2014, 2014

21 May 2014

Past changes in the vertical distribution of ozone – Part 1: Measurement techniques, uncertainties and availability

B. Hassler, I. Petropavlovskikh, J. Staehelin, T. August, P. K. Bhartia, C. Clerbaux, D. Degenstein, M. De Mazière, B. M. Dinelli, A. Dudhia, G. Dufour, S. M. Frith, L. Froidevaux, S. Godin-Beekmann, J. Granville, N. R. P. Harris, K. Hoppel, D. Hubert, Y. Kasai, M. J. Kurylo, E. Kyrölä, J.-C. Lambert, P. F. Levelt, C. T. McElroy, R. D. McPeters, R. Munro, H. Nakajima, A. Parrish, P. Raspollini, E. E. Remsberg, K. H. Rosenlof, A. Rozanov, T. Sano, Y. Sasano, M. Shiotani, H. G. J. Smit, G. Stiller, J. Tamminen, D. W. Tarasick, J. Urban, R. J. van der A, J. P. Veefkind, C. Vigouroux, T. von Clarmann, C. von Savigny, K. A. Walker, M. Weber, J. Wild, and J. M. Zawodny

Atmos. Meas. Tech., 7, 1395–1427, https://doi.org/10.5194/amt-7-1395-2014,https://doi.org/10.5194/amt-7-1395-2014, 2014

25 Oct 2013

Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2

J. Joiner, L. Guanter, R. Lindstrot, M. Voigt, A. P. Vasilkov, E. M. Middleton, K. F. Huemmrich, Y. Yoshida, and C. Frankenberg

Atmos. Meas. Tech., 6, 2803–2823, https://doi.org/10.5194/amt-6-2803-2013,https://doi.org/10.5194/amt-6-2803-2013, 2013

31 Jul 2013

MODIS 3 km aerosol product: algorithm and global perspective

L. A. Remer, S. Mattoo, R. C. Levy, and L. A. Munchak

Atmos. Meas. Tech., 6, 1829–1844, https://doi.org/10.5194/amt-6-1829-2013,https://doi.org/10.5194/amt-6-1829-2013, 2013

19 Mar 2013

The CM SAF SSM/I-based total column water vapour climate data record: methods and evaluation against re-analyses and satellite

M. Schröder, M. Jonas, R. Lindau, J. Schulz, and K. Fennig

Atmos. Meas. Tech., 6, 765–775, https://doi.org/10.5194/amt-6-765-2013,https://doi.org/10.5194/amt-6-765-2013, 2013

13 Feb 2013

The effect of hygroscopicity on eddy covariance estimates of sea-spray aerosol fluxes: a comparison of high-rate and bulk correction methods

D. A. J. Sproson, I. M. Brooks, and S. J. Norris

Atmos. Meas. Tech., 6, 323–335, https://doi.org/10.5194/amt-6-323-2013,https://doi.org/10.5194/amt-6-323-2013, 2013

15 Nov 2012

Development of a new data-processing method for SKYNET sky radiometer observations

M. Hashimoto, T. Nakajima, O. Dubovik, M. Campanelli, H. Che, P. Khatri, T. Takamura, and G. Pandithurai

Atmos. Meas. Tech., 5, 2723–2737, https://doi.org/10.5194/amt-5-2723-2012,https://doi.org/10.5194/amt-5-2723-2012, 2012

07 Nov 2012

First middle-atmospheric zonal wind profile measurements with a new ground-based microwave Doppler-spectro-radiometer

R. Rüfenacht, N. Kämpfer, and A. Murk

Atmos. Meas. Tech., 5, 2647–2659, https://doi.org/10.5194/amt-5-2647-2012,https://doi.org/10.5194/amt-5-2647-2012, 2012

19 Oct 2012

Combined wind measurements by two different lidar instruments in the Arctic middle atmosphere

J. Hildebrand, G. Baumgarten, J. Fiedler, U.-P. Hoppe, B. Kaifler, F.-J. Lübken, and B. P. Williams

Atmos. Meas. Tech., 5, 2433–2445, https://doi.org/10.5194/amt-5-2433-2012,https://doi.org/10.5194/amt-5-2433-2012, 2012

23 Aug 2012

The scientific basis for a satellite mission to retrieve CCN concentrations and their impacts on convective clouds

D. Rosenfeld, E. Williams, M. O. Andreae, E. Freud, U. Pöschl, and N. O. Rennó

Atmos. Meas. Tech., 5, 2039–2055, https://doi.org/10.5194/amt-5-2039-2012,https://doi.org/10.5194/amt-5-2039-2012, 2012

27 Jul 2012

Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals

C. Frankenberg, O. Hasekamp, C. O'Dell, S. Sanghavi, A. Butz, and J. Worden

Atmos. Meas. Tech., 5, 1809–1821, https://doi.org/10.5194/amt-5-1809-2012,https://doi.org/10.5194/amt-5-1809-2012, 2012

11 Jul 2012

Comparison of OH concentration measurements by DOAS and LIF during SAPHIR chamber experiments at high OH reactivity and low NO concentration

H. Fuchs, H.-P. Dorn, M. Bachner, B. Bohn, T. Brauers, S. Gomm, A. Hofzumahaus, F. Holland, S. Nehr, F. Rohrer, R. Tillmann, and A. Wahner

Atmos. Meas. Tech., 5, 1611–1626, https://doi.org/10.5194/amt-5-1611-2012,https://doi.org/10.5194/amt-5-1611-2012, 2012

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