Executive editors: Thomas Wagner, Hartwig Harder, Joanna Joiner, Paolo Laj, Andreas Richter & Rebecca Washenfelder
eISSN: AMT 1867-8548, AMTD 1867-8610
Atmospheric Measurement Techniques (AMT) is a not-for-profit international scientific journal dedicated to the publication and discussion of advances in remote sensing, as well as in situ and laboratory measurement techniques for the constituents and properties of the Earth's atmosphere.
The main subject areas comprise the development, intercomparison, and validation of measurement instruments and techniques of data processing and information retrieval for gases, aerosols, and clouds. Papers submitted to AMT must contain atmospheric measurements, laboratory measurements relevant for atmospheric science, and/or theoretical calculations of measurements simulations with detailed error analysis including instrument simulations. The manuscript types considered for peer-reviewed publication are research articles, review articles, and commentaries.
University of Exeter Library and Copernicus Publications have signed an agreement on the central billing of article processing charges (APCs) to facilitate the publication procedure for authors.
University of Exeter Library and Copernicus Publications have signed an agreement on the central billing of article processing charges (APCs) to facilitate the publication procedure for authors.
Today the European Geosciences Union and Copernicus Publications are announcing sweeping new changes, that will give our authors the ability to make vital alterations to their names in previously published scientific literature. This new policy will allow authors to retrospectively update previous publications with their current names, including conference abstracts, preprints, and peer-reviewed articles.
Today the European Geosciences Union and Copernicus Publications are announcing sweeping new changes, that will give our authors the ability to make vital alterations to their names in previously published scientific literature. This new policy will allow authors to retrospectively update previous publications with their current names, including conference abstracts, preprints, and peer-reviewed articles.
Preprint under review for AMT(discussion: open, 0 comments)
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Outdoor air pollution poses global public health and environmental risks. One method to quantify outdoor air pollution is sun photometery, a technique that measures how much airborne particles affects sunlight intensity. Clouds obscuring the sun can bias sun photometer measurements. Here we propose an image-based deep learning framework for automatic quality control of sun photometer measurements. We show our algorithm is effective at classifying images of the sun as cloud-contaminated or not.
A yearlong ToF-ACSM dataset was used to characterize ambient aerosols over a suburban Athenian site, and innovative software for source apportionment was implemented in order to distinguish the sources of the total non-refractory species of PM1. A comparison between the methodology of combined organic and inorganic PMF analysis and the conventional organic PMF took place.
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In this study we show how sparse and noisy drone measurements can be combined with an ensemble of turbulence-resolving wind simulations to estimate uncertainty-aware surface energy exchange. We demonstrate the feasibility of this drone data assimilation framework in a series of synthetic and real-world experiments. This new framework could in future be applied to estimate energy and gas exchange in heteorogeneous landscapes more representatively than conventional methods.
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In this paper, a novel scan technique is applied to an airborne coherent Doppler wind lidar, enabling to measure the vertical wind speed and the horizontal wind speed along flight direction simultaneously with a horizontal resolution of 800 m and a vertical resolution of 100 m. The performed observations are valuable for gravity wave characterization as they allow to calculated the leg-averaged momentum flux profile, and with that, the propagation direction of excited gravity waves.
Lu Xu, Matthew M. Coggon, Chelsea E. Stockwell, Jessica B. Gilman, Michael A. Robinson, Martin Breitenlechner, Aaron Lamplugh, J. Andrew Neuman, Gordon A. Novak, Patrick R. Veres, Steven S. Brown, and Carsten Warneke
Preprint under review for AMT(discussion: open, 0 comments)
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We describe the development and operation of an analytical instrument for measurements of organic compounds in the atmosphere with fast response and high sensitivity.
It is necessary to correctly evaluate the amount of cloud water resources in an area. Currently, there is a lack of effective observation methods for atmospheric column condensate evaluation. We propose a method for atmospheric column condensate by combining millimetre cloud radar, lidar and microwave radiometers. The method can realise determination of atmospheric column condensate. The variation of cloud before precipitation is considered, and the atmospheric column is deduced and obtained.
Peristera Paschou, Nikolaos Siomos, Alexandra Tsekeri, Alexandros Louridas, George Georgoussis, Volker Freudenthaler, Ioannis Binietoglou, George Tsaknakis, Alexandros Tavernarakis, Christos Evangelatos, Jonas von Bismarck, Thomas Kanitz, Charikleia Meleti, Eleni Marinou, and Vassilis Amiridis
The eVe lidar delivers quality-assured aerosol and cloud optical properties according to the standards of ACTRIS. It is a mobile reference system for the validation of the ESA's Aeolus satellite mission (L2 aerosol and cloud products). eVe provides linear and circular polarisation measurements with Raman capabilities. Here, we describe the system design, the polarisation calibration techniques, and the software for the retrieval of the optical products.
MAX-DOAS is a widely used measurement technique for the remote detection of atmospheric aerosol and trace gases. It relies on the analysis of ultra-violet and visible radiation spectra of skylight. To date, information contained in the skylight's polarisation state has not been utilised. On the basis of synthetic data, we carried out sensitivity analyses to assess the potential of polarimetry for MAX-DOAS applications.
We show that the low-cost PurpleAir sensor can be characterized as a cell-reciprocal nephelometer. At two very different locations (Mauna Loa Observatory in Hawaii and the Table Mountain rural site in Colorado), the PurpleAir measurements are highly correlated with the submicrometer aerosol scattering coefficient measured by a research-grade integrating nephelometer. These results imply that, with care, PurpleAir data may be used to evaluate climate and air quality models.
Bianca Maria Dinelli, Piera Raspollini, Marco Gai, Luca Sgheri, Marco Ridolfi, Simone Ceccherini, Flavio Barbara, Nicola Zoppetti, Elisa Castelli, Enzo Papandrea, Paolo Pettinari, Angelika Dehn, Anu Dudhia, Michael Kiefer, Alessandro Piro, Jean-Marie Flaud, Manuel López-Puertas, David Moore, John Remedios, and Massimo Bianchini
The level-2 v8 database from the measurements of the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), aboard the European Space Agency Envisat satellite, containing atmospheric fields of pressure, temperature, and volume mixing ratio of 21 trace gases, is described in this paper. The database covers all the measurements acquired by MIPAS (from July 2002 to April 2012). The number of species included makes it of particular importance for the studies of stratospheric chemistry.
24 Mar 2022–31 Dec 2024 | Domenico Cimini, Claudia Acquistapace, Joelle Buxmann, Volker Lehmann, Markus Kayser, Stelios Kazadzis, Anca Nemuc, and Klara Jurcakova
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01 Dec 2021–31 Dec 2022 | Sophie Godin-Beekmann, Paul Newman, Irina Petropavlovskikh, Birgit Hassler, Karin Kreher, Corinne Vigouroux, Mark Weber, and Ja-Ho Koo
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07 Jul 2021–31 Dec 2024 | Simone Lolli, Paolo Laj, and Giulia Saponaro
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Notice on current restrictions
To show our support for Ukraine and in accordance with current European sanctions, we have introduced a range of measures relevant to our open-access publications process.
All fees for papers from authors (first, corresponding, or contact authors) affiliated to Ukrainian institutions are automatically waived, regardless of if these papers are co-authored by scientists affiliated to Russian and/or Belarusian institutions. The only exception to the waiver for Ukrainian authors will be if the corresponding or contact authors are from a Russian and/or Belarusian institution, in that case the APCs are not waived.
Due to restrictions for authors from Russian and Belarusian institutions that are necessary to comply with European sanctions, we recommend any authors from institutions in these countries to contact us on editorial@copernicus.org for more information.