Executive editors: Thomas Wagner, Hartwig Harder, 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.
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Copernicus Publications is delighted to announce a new agreement with the UK-based Jisc (Joint Information Systems Committee) to streamline open-access publishing for their members. Read more.
The ETH Domain institutions PSI, Empa, Eawag, WSL and Copernicus Publications have signed an agreement on the central settlement of article processing charges (APCs).
The ETH Domain institutions PSI, Empa, Eawag, WSL and Copernicus Publications have signed an agreement on the central settlement of article processing charges (APCs).
Abdanour Irbah, Julien Delanoë, Gerd-Jan van Zadelhoff, David P. Donovan, Pavlos Kollias, Bernat Puigdomènech Treserras, Shannon Mason, Robin J. Hogan, and Aleksandra Tatarevic
The Cloud Profiling Radar (CPR) and ATmospheric LIDar (ATLID) aboard the EarthCARE satellite are used to probe the Earth's atmosphere by measuring cloud and aerosol profiles. ATLID is sensitive to aerosols and small cloud particles and CPR to large ice particles, snowflakes and raindrops. It is the synergy of the measurements of these two instruments that allows a better classification of the atmospheric targets and the description of the associated products, which are the subject of this paper.
Preprint under review for AMT(discussion: open, 0 comments)
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In order to deal with this non-Gaussian problem, we describe the variation of reflectivity standard deviation as a function of the symmetric rainrate, which is the average of observed and simulated rainrates. The reflectivity error distribution normalized by the rainrate-dependent function becomes more Gaussian. The effects of the accuracy and linearization of symmetric rainrate on the reflectivity error structure are also discussed.
Preprint under review for AMT(discussion: open, 0 comments)
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Technological advancements have improved the measurements of gas-phase organic molecules in the atmosphere, but also present new quantification challenges. In this study, we characterize the response from our Proton-Transfer Reaction mass spectrometer on 2 h timescales and use this characterization to quantify molecules which are not available as standards. A toolkit was developed to streamline this process. A catalytic zero-air generator provided the lowest limits of detection.
We present a framework for setting up SMEAR (Station for Measuring Ecosystem–Atmosphere Relations) type measurement station data flows. This framework, called SMEARcore, consists of modular open-source software components that can be chosen to suit various station configurations. The benefits of using this framework are automation of routine operations and real-time monitoring of measurement results.
Preprint under review for AMT(discussion: open, 0 comments)
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Satellite retrievals of trace gases require prior knowledge of the vertical distribution of the pollutant, which are usually obtained from models. Using aircraft measured vertical NO2 profiles over the North Sea in summer 2021, we evaluate the TM5-modeled profiles used in the TROPOMI NO2 retrieval. We conclude that driven by the low horizontal resolution and the overestimated vertical mixing in TM5, resulting NO2 columns are 20 % too low. This has important implications for emission estimates.
Frank Werner, Nathaniel J. Livesey, Luis F. Millán, William G. Read, Michael J. Schwartz, Paul A. Wagner, William H. Daffer, Alyn Lambert, Sasha N. Tolstoff, and Michelle L. Santee
The algorithm that produces the near-real-time data products of the Aura Microwave Limb Sounder has been updated. The new algorithm is based on machine learning techniques and yields data products with much improved accuracy. It is shown that the new algorithm outperforms the previous versions, even when it is trained on only a few years of satellite observations. This confirms the potential of applying machine learning to the near-real-time efforts of other current and future mission concepts.
We present an evaluation of current retrieval techniques in the ice phase applied to polarimetric radar measurements with collocated in situ observations of aircraft conducted over the Olympic Mountains, Washington State, during winter 2015. Radar estimates of ice properties agreed most with aircraft observations in regions with pronounced radar signatures, but uncertainties were identified that indicate issues of some retrievals, particularly in warmer temperature regimes.
This study evaluates many currently available conventional and polarimetric radar-based remote-sensing retrievals of ice water content, total number concentration and mean diameter of ice hydrometeors. It has the potential to become a reference for the assessment of measurement uncertainties from radar observations for which no in-situ reference data are available.
Ethylene oxide is a toxic, carcinogenic compound used in the medical and bulk sterilization industry. Here we describe a precise and fast laser-based ethylene oxide monitor. We report months-long concentrations at a Massachusetts site, and we show how they suggest a potential emission source 35 km away. This source, and another, is confirmed by driving the instrument downwind of the sites, where concentrations were tens to tens of thousands of times greater than background levels.
Atmospheric ozone can induce artefacts in volatile organic compound measurements. Laboratory tests were made using GC-MS and PTR-MS aircraft systems under tropospheric and stratospheric conditions of humidity and ozone, with and without sodium thiosulfate filter scrubbers. Ozone in dry air produces some carbonyls and degrades alkenes. The scrubber lifetime depends on ozone concentration, flow rate and humidity. For the troposphere with scrubber, no significant artefacts were found over 14 d.
I agree with the handling editor that this paper covers a very good study that would be a very useful for the community, especially for measurements of reactive gases.
Simone Kotthaus, Juan Antonio Bravo-Aranda, Martine Collaud Coen, Juan Luis Guerrero-Rascado, Maria João Costa, Domenico Cimini, Ewan J. O'Connor, Maxime Hervo, Lucas Alados-Arboledas, María Jiménez-Portaz, Lucia Mona, Dominique Ruffieux, Anthony Illingworth, and Martial Haeffelin
Profile observations of the atmospheric boundary layer now allow for layer heights and characteristics to be derived at high temporal and vertical resolution. With novel high-density ground-based remote-sensing measurement networks emerging, horizontal information content is also increasing. This review summarises the capabilities and limitations of various sensors and retrieval algorithms which need to be considered during the harmonisation of data products for high-impact applications.
I agree with the handling editor Dr. Laura Bianco and the reviewer Dr. Frank Beyrich that this is a very good paper and that it is of general interest and relevance.
01 Mar 2023–30 Apr 2024 | AMT co-editors: Steffen Beirle, Diego Loyola, and Troy Thornberry | Co-organizers: Owen R. Cooper and Martin G. Schultz
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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 2023 | Jhoon Kim, M. H. Ahn, Rokjin Park, Ben Veihelmann, and Pawan K. Bhartia
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