Preprints
https://doi.org/10.5194/amt-2022-43
https://doi.org/10.5194/amt-2022-43
 
21 Mar 2022
21 Mar 2022
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

Retrieval of greenhouse gases from GOSAT and greenhouse gases and carbon monoxide from GOSAT-2 using the FOCAL algorithm

Stefan Noël1, Maximilian Reuter1, Michael Buchwitz1, Jakob Borchardt1, Michael Hilker1, Oliver Schneising1, Heinrich Bovensmann1, John P. Burrows1, Antonio Di Noia2, Robert J. Parker2,3, Hiroshi Suto4, Yukio Yoshida5, Matthias Buschmann1, Nicholas M. Deutscher6, Dietrich G. Feist7,8,9, David W. T. Griffith6, Frank Hase10, Rigel Kivi11, Cheng Liu12, Isamu Morino5, Justus Notholt1, Young-Suk Oh13, Hirofumi Ohyama5, Christof Petri1, David F. Pollard14, Markus Rettinger15, Coleen M. Roehl16, Constantina Rousogenous17, Mahesh Kumar Sha18, Kei Shiomi4, Kimberly Strong19, Ralf Sussmann15, Yao Té20, Voltaire A. Velazco6,21, Mihalis Vrekoussis17,1,22, and Thorsten Warneke1 Stefan Noël et al.
  • 1Institute of Environmental Physics, University of Bremen, FB 1, P.O. Box 330440, 28334 Bremen, Germany
  • 2Earth Observation Science, University of Leicester, LE1 7RH, Leicester, UK
  • 3National Centre for Earth Observation, University of Leicester, UK
  • 4Japan Aerospace Exploration Agency (JAXA), 305-8505, Tsukuba, Japan
  • 5National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki 305-8506, Japan
  • 6Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong NSW 2522 Australia
  • 7Max Planck Institute for Biogeochemistry, 07745 Jena, Germany
  • 8Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
  • 9Ludwig-Maximilians-Universität München, Lehrstuhl für Physik der Atmosphäre, 80539 Munich, Germany
  • 10Karlsruhe Institute of Technology, IMK-ASF, 76021 Karlsruhe, Germany
  • 11Finnish Meteorological Institute, Space and Earth Observation Centre, Tähteläntie 62, 99600 Sodankylä, Finland
  • 12Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 230026 Hefei, China
  • 13Global Atmosphere Watch Team, Innovative Meteorological Research Department, National Institute of Meteorological Sciences, 3, Seohobuk-ro, Seogwipo-si, Jeju-do, Republic of Korea
  • 14National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, Private Bag 50061, Omakau 9352, New Zealand
  • 15Karlsruhe Institute of Technology, IMK-IFU, 82467 Garmisch-Partenkirchen, Germany
  • 16California Institute of Technology, Global Environmental Center, Pasadena, CA 91125, USA
  • 17Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
  • 18Royal Belgian Institute for Space Aeronomy (BIRA-IASB), 1180 Brussels, Belgium
  • 19Department of Physics, University of Toronto, Toronto, ON, M5S 1A7, Canada
  • 20Laboratoire d’Etudes du Rayonnement et de la Matière en Astrophysique et Atmosphères (LERMA-IPSL), Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
  • 21Deutscher Wetterdienst, Meteorological Observatory, 82383 Hohenpeissenberg, Germany
  • 22Center of Marine Environmental Sciences (MARUM), University of Bremen, Germany

Abstract. Recently, the Fast atmOspheric traCe gAs retrievaL (FOCAL) algorithm has been applied to measurements of the Greenhouse gases Observing SATellite (GOSAT) and its successor GOSAT-2. FOCAL has been originally developed for Orbiting Carbon Observatory-2 (OCO-2) retrievals with the focus on the derivation of carbon dioxide (XCO2). However, depending on the available spectral windows, FOCAL also successfully retrieves total column amounts for other atmospheric species. Here, we show new results from updated GOSAT and GOSAT-2 FOCAL retrievals. The main focus is placed on methane (XCH4; full physics and proxy product), water vapour (XH2O) and the relative ratio of semi-heavy water (HDO) to water vapour (δD). Due to the extended spectral range of GOSAT-2 it is also possible to derive information on carbon monoxide (XCO) and nitrous oxide (XN2O) for which we also show first results. We also present an update on XCO2 from both instruments.

Compared to the previous product version (v1), the number of valid XCO2 data could be significantly increased in the updated version (v3.0) by 50 % for GOSAT and about a factor of two for GOSAT-2. All FOCAL data products show reasonable spatial distribution and temporal variations. Comparisons with TCCON (Total Carbon Column Observing Network) result in station-to-station biases which are generally in line with the reported TCCON uncertainties.

With this updated version of the GOSAT-2 FOCAL data, we provide a first total column average XN2O product. Global XN2O maps show a gradient from the tropics to higher latitudes in the order of 15 ppb, which can be explained by variations in tropopause height. The new GOSAT-2 XN2O product compares well with TCCON. Its station-to-station variability is lower than 2 ppb, which is about the magnitude of the typical N2O variations close to the surface. However, both GOSAT-2 and TCCON measurements show that the seasonal variations in the total column average XN2O are in the order of 8 ppb peak-to-peak, which can be easily resolved by the GOSAT-2 FOCAL data.

Stefan Noël et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-43', T. E. Taylor, 23 Mar 2022
    • AC1: 'Reply on RC1', Stefan Noël, 17 May 2022
  • RC2: 'Comment on amt-2022-43', Anonymous Referee #3, 24 Mar 2022
    • AC2: 'Reply on RC2', Stefan Noël, 17 May 2022
  • RC3: 'Comment on amt-2022-43', Anonymous Referee #2, 12 Apr 2022
    • AC3: 'Reply on RC3', Stefan Noël, 17 May 2022
  • RC4: 'Comment on amt-2022-43', Anonymous Referee #4, 21 Apr 2022
    • AC4: 'Reply on RC4', Stefan Noël, 17 May 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-43', T. E. Taylor, 23 Mar 2022
    • AC1: 'Reply on RC1', Stefan Noël, 17 May 2022
  • RC2: 'Comment on amt-2022-43', Anonymous Referee #3, 24 Mar 2022
    • AC2: 'Reply on RC2', Stefan Noël, 17 May 2022
  • RC3: 'Comment on amt-2022-43', Anonymous Referee #2, 12 Apr 2022
    • AC3: 'Reply on RC3', Stefan Noël, 17 May 2022
  • RC4: 'Comment on amt-2022-43', Anonymous Referee #4, 21 Apr 2022
    • AC4: 'Reply on RC4', Stefan Noël, 17 May 2022

Stefan Noël et al.

Stefan Noël et al.

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Short summary
We present a new version (v3) of the GOSAT and GOSAT-2 FOCAL products. In addition to an increased number of XCO2 data, v3 also includes products for XCH4 (full physics and proxy), XH2O, and the relative ratio of HDO to H2O (δD). For GOSAT-2, we also present first XCO and XN2O results. All FOCAL data products show reasonable spatial distribution and temporal variations and agree well with TCCON. Global XN2O maps show a gradient from the tropics to higher latitudes in the order of 15 ppb.