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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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  • IF value: 3.400 IF 3.400
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Volume 12, issue 9

Volume 12, issue 9

02 Sep 2019
Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment
Laura Cartwright, Andrew Zammit-Mangion, Sangeeta Bhatia, Ivan Schroder, Frances Phillips, Trevor Coates, Karita Negandhi, Travis Naylor, Martin Kennedy, Steve Zegelin, Nick Wokker, Nicholas M. Deutscher, and Andrew Feitz
Atmos. Meas. Tech., 12, 4659–4676, https://doi.org/10.5194/amt-12-4659-2019,https://doi.org/10.5194/amt-12-4659-2019, 2019
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03 Sep 2019
Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany
Christian Markwitz and Lukas Siebicke
Atmos. Meas. Tech., 12, 4677–4696, https://doi.org/10.5194/amt-12-4677-2019,https://doi.org/10.5194/amt-12-4677-2019, 2019
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03 Sep 2019
Methodology for high-quality mobile measurement with focus on black carbon and particle mass concentrations
Honey Dawn C. Alas, Kay Weinhold, Francesca Costabile, Antonio Di Ianni, Thomas Müller, Sascha Pfeifer, Luca Di Liberto, Jay R. Turner, and Alfred Wiedensohler
Atmos. Meas. Tech., 12, 4697–4712, https://doi.org/10.5194/amt-12-4697-2019,https://doi.org/10.5194/amt-12-4697-2019, 2019
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04 Sep 2019
Diurnal and nocturnal cloud segmentation of all-sky imager (ASI) images using enhancement fully convolutional networks
Chaojun Shi, Yatong Zhou, Bo Qiu, Jingfei He, Mu Ding, and Shiya Wei
Atmos. Meas. Tech., 12, 4713–4724, https://doi.org/10.5194/amt-12-4713-2019,https://doi.org/10.5194/amt-12-4713-2019, 2019
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05 Sep 2019
Derivation of flow rate and calibration method for high-volume air samplers
Richard Hann and Mark Hermanson
Atmos. Meas. Tech., 12, 4725–4731, https://doi.org/10.5194/amt-12-4725-2019,https://doi.org/10.5194/amt-12-4725-2019, 2019
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05 Sep 2019
Versatile aerosol concentration enrichment system (VACES) operating as a cloud condensation nuclei (CCN) concentrator: development and laboratory characterization
Carmen Dameto de España, Gerhard Steiner, Harald Schuh, Constantinos Sioutas, and Regina Hitzenberger
Atmos. Meas. Tech., 12, 4733–4744, https://doi.org/10.5194/amt-12-4733-2019,https://doi.org/10.5194/amt-12-4733-2019, 2019
06 Sep 2019
Ozone profile climatology for remote sensing retrieval algorithms
Kai Yang and Xiong Liu
Atmos. Meas. Tech., 12, 4745–4778, https://doi.org/10.5194/amt-12-4745-2019,https://doi.org/10.5194/amt-12-4745-2019, 2019
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06 Sep 2019
Determination of n-alkanes, polycyclic aromatic hydrocarbons and hopanes in atmospheric aerosol: evaluation and comparison of thermal desorption GC-MS and solvent extraction GC-MS approaches
Meng Wang, Ru-Jin Huang, Junji Cao, Wenting Dai, Jiamao Zhou, Chunshui Lin, Haiyan Ni, Jing Duan, Ting Wang, Yang Chen, Yongjie Li, Qi Chen, Imad El Haddad, and Thorsten Hoffmann
Atmos. Meas. Tech., 12, 4779–4789, https://doi.org/10.5194/amt-12-4779-2019,https://doi.org/10.5194/amt-12-4779-2019, 2019
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06 Sep 2019
Multistatic meteor radar observations of gravity-wave–tidal interaction over southern Australia
Andrew John Spargo, Iain Murray Reid, and Andrew David MacKinnon
Atmos. Meas. Tech., 12, 4791–4812, https://doi.org/10.5194/amt-12-4791-2019,https://doi.org/10.5194/amt-12-4791-2019, 2019
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10 Sep 2019
peakTree: a framework for structure-preserving radar Doppler spectra analysis
Martin Radenz, Johannes Bühl, Patric Seifert, Hannes Griesche, and Ronny Engelmann
Atmos. Meas. Tech., 12, 4813–4828, https://doi.org/10.5194/amt-12-4813-2019,https://doi.org/10.5194/amt-12-4813-2019, 2019
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10 Sep 2019
Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator
Natalia Hanna, Estera Trzcina, Gregor Möller, Witold Rohm, and Robert Weber
Atmos. Meas. Tech., 12, 4829–4848, https://doi.org/10.5194/amt-12-4829-2019,https://doi.org/10.5194/amt-12-4829-2019, 2019
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10 Sep 2019
Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis
Albert Ansmann, Rodanthi-Elisavet Mamouri, Julian Hofer, Holger Baars, Dietrich Althausen, and Sabur F. Abdullaev
Atmos. Meas. Tech., 12, 4849–4865, https://doi.org/10.5194/amt-12-4849-2019,https://doi.org/10.5194/amt-12-4849-2019, 2019
11 Sep 2019
An extractive electrospray ionization time-of-flight mass spectrometer (EESI-TOF) for online measurement of atmospheric aerosol particles
Felipe D. Lopez-Hilfiker, Veronika Pospisilova, Wei Huang, Markus Kalberer, Claudia Mohr, Giulia Stefenelli, Joel A. Thornton, Urs Baltensperger, Andre S. H. Prevot, and Jay G. Slowik
Atmos. Meas. Tech., 12, 4867–4886, https://doi.org/10.5194/amt-12-4867-2019,https://doi.org/10.5194/amt-12-4867-2019, 2019
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11 Sep 2019
Multiple technical observations of the atmospheric boundary layer structure of a red-alert haze episode in Beijing
Yu Shi, Fei Hu, Guangqiang Fan, and Zhe Zhang
Atmos. Meas. Tech., 12, 4887–4901, https://doi.org/10.5194/amt-12-4887-2019,https://doi.org/10.5194/amt-12-4887-2019, 2019
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11 Sep 2019
All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud
Alan J. Geer, Stefano Migliorini, and Marco Matricardi
Atmos. Meas. Tech., 12, 4903–4929, https://doi.org/10.5194/amt-12-4903-2019,https://doi.org/10.5194/amt-12-4903-2019, 2019
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11 Sep 2019
Characterization of shallow oceanic precipitation using profiling and scanning radar observations at the Eastern North Atlantic ARM observatory
Katia Lamer, Bernat Puigdomènech Treserras, Zeen Zhu, Bradley Isom, Nitin Bharadwaj, and Pavlos Kollias
Atmos. Meas. Tech., 12, 4931–4947, https://doi.org/10.5194/amt-12-4931-2019,https://doi.org/10.5194/amt-12-4931-2019, 2019
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12 Sep 2019
Calibration of the 2007–2017 record of Atmospheric Radiation Measurements cloud radar observations using CloudSat
Pavlos Kollias, Bernat Puigdomènech Treserras, and Alain Protat
Atmos. Meas. Tech., 12, 4949–4964, https://doi.org/10.5194/amt-12-4949-2019,https://doi.org/10.5194/amt-12-4949-2019, 2019
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13 Sep 2019
Addition of fast gas chromatography to selected ion flow tube mass spectrometry for analysis of individual monoterpenes in mixtures
Michal Lacko, Nijing Wang, Kristýna Sovová, Pavel Pásztor, and Patrik Španěl
Atmos. Meas. Tech., 12, 4965–4982, https://doi.org/10.5194/amt-12-4965-2019,https://doi.org/10.5194/amt-12-4965-2019, 2019
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16 Sep 2019
A study of a two-dimensional scanned lunar image for Advanced Technology Microwave Sounder (ATMS) geometric calibration
Jun Zhou and Hu Yang
Atmos. Meas. Tech., 12, 4983–4992, https://doi.org/10.5194/amt-12-4983-2019,https://doi.org/10.5194/amt-12-4983-2019, 2019
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17 Sep 2019
The importance of particle size distribution and internal structure for triple-frequency radar retrievals of the morphology of snow
Shannon L. Mason, Robin J. Hogan, Christopher D. Westbrook, Stefan Kneifel, Dmitri Moisseev, and Leonie von Terzi
Atmos. Meas. Tech., 12, 4993–5018, https://doi.org/10.5194/amt-12-4993-2019,https://doi.org/10.5194/amt-12-4993-2019, 2019
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18 Sep 2019
Microwave Radar/radiometer for Arctic Clouds (MiRAC): first insights from the ACLOUD campaign
Mario Mech, Leif-Leonard Kliesch, Andreas Anhäuser, Thomas Rose, Pavlos Kollias, and Susanne Crewell
Atmos. Meas. Tech., 12, 5019–5037, https://doi.org/10.5194/amt-12-5019-2019,https://doi.org/10.5194/amt-12-5019-2019, 2019
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19 Sep 2019
Use of spectral cloud emissivities and their related uncertainties to infer ice cloud boundaries: methodology and assessment using CALIPSO cloud products
Hye-Sil Kim, Bryan A. Baum, and Yong-Sang Choi
Atmos. Meas. Tech., 12, 5039–5054, https://doi.org/10.5194/amt-12-5039-2019,https://doi.org/10.5194/amt-12-5039-2019, 2019
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20 Sep 2019
Evaluation of GPM-DPR precipitation estimates with WegenerNet gauge data
Martin Lasser, Sungmin O, and Ulrich Foelsche
Atmos. Meas. Tech., 12, 5055–5070, https://doi.org/10.5194/amt-12-5055-2019,https://doi.org/10.5194/amt-12-5055-2019, 2019
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23 Sep 2019
Toward autonomous surface-based infrared remote sensing of polar clouds: retrievals of cloud optical and microphysical properties
Penny M. Rowe, Christopher J. Cox, Steven Neshyba, and Von P. Walden
Atmos. Meas. Tech., 12, 5071–5086, https://doi.org/10.5194/amt-12-5071-2019,https://doi.org/10.5194/amt-12-5071-2019, 2019
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23 Sep 2019
The impact of neglecting ice phase on cloud optical depth retrievals from AERONET cloud mode observations
Jonathan K. P. Shonk, Jui-Yuan Christine Chiu, Alexander Marshak, David M. Giles, Chiung-Huei Huang, Gerald G. Mace, Sally Benson, Ilya Slutsker, and Brent N. Holben
Atmos. Meas. Tech., 12, 5087–5099, https://doi.org/10.5194/amt-12-5087-2019,https://doi.org/10.5194/amt-12-5087-2019, 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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25 Sep 2019
Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances
Martin de Graaf, L. Gijsbert Tilstra, and Piet Stammes
Atmos. Meas. Tech., 12, 5119–5135, https://doi.org/10.5194/amt-12-5119-2019,https://doi.org/10.5194/amt-12-5119-2019, 2019
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25 Sep 2019
A new discrete wavelength backscattered ultraviolet algorithm for consistent volcanic SO2 retrievals from multiple satellite missions
Bradford L. Fisher, Nickolay A. Krotkov, Pawan K. Bhartia, Can Li, Simon A. Carn, Eric Hughes, and Peter J. T. Leonard
Atmos. Meas. Tech., 12, 5137–5153, https://doi.org/10.5194/amt-12-5137-2019,https://doi.org/10.5194/amt-12-5137-2019, 2019
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26 Sep 2019
The application of mean averaging kernels to mean trace gas distributions
Thomas von Clarmann and Norbert Glatthor
Atmos. Meas. Tech., 12, 5155–5160, https://doi.org/10.5194/amt-12-5155-2019,https://doi.org/10.5194/amt-12-5155-2019, 2019
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26 Sep 2019
Gaussian process regression model for dynamically calibrating and surveilling a wireless low-cost particulate matter sensor network in Delhi
Tongshu Zheng, Michael H. Bergin, Ronak Sutaria, Sachchida N. Tripathi, Robert Caldow, and David E. Carlson
Atmos. Meas. Tech., 12, 5161–5181, https://doi.org/10.5194/amt-12-5161-2019,https://doi.org/10.5194/amt-12-5161-2019, 2019
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27 Sep 2019
Ozone Monitoring Instrument (OMI) Total Column Water Vapor version 4 validation and applications
Huiqun Wang, Amir Hossein Souri, Gonzalo González Abad, Xiong Liu, and Kelly Chance
Atmos. Meas. Tech., 12, 5183–5199, https://doi.org/10.5194/amt-12-5183-2019,https://doi.org/10.5194/amt-12-5183-2019, 2019
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27 Sep 2019
Cross-evaluation of GEMS tropospheric ozone retrieval performance using OMI data and the use of an ozonesonde dataset over East Asia for validation
Juseon Bak, Kang-Hyeon Baek, Jae-Hwan Kim, Xiong Liu, Jhoon Kim, and Kelly Chance
Atmos. Meas. Tech., 12, 5201–5215, https://doi.org/10.5194/amt-12-5201-2019,https://doi.org/10.5194/amt-12-5201-2019, 2019
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