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

Noël, Stefan and Reuter, Maximilian and Buchwitz, Michael and Borchardt, Jakob and Hilker, Michael and Schneising, Oliver and Bovensmann, Heinrich and Burrows, John P. and Di Noia, Antonio and Parker, Robert J. and Suto, Hiroshi and Yoshida, Yukio and Buschmann, Matthias and Deutscher, Nicholas M. and Feist, Dietrich G. and Griffith, David W. T. and Hase, Frank and Kivi, Rigel and Liu, Cheng and Morino, Isamu and Notholt, Justus and Oh, Young-Suk and Ohyama, Hirofumi and Petri, Christof and Pollard, David F. and Rettinger, Markus and Roehl, Coleen and Rousogenous, Constantina and Sha, Mahesh Kumar and Shiomi, Kei and Strong, Kimberly and Sussmann, Ralf and Té, Yao and Velazco, Voltaire A. and Vrekoussis, Mihalis and Warneke, Thorsten (2022) Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm. Atmospheric Measurement Techniques, 15 (11). pp. 3401-3437. ISSN 1867-8548. doi:10.5194/amt-15-3401-2022. https://resolver.caltech.edu/CaltechAUTHORS:20220721-8152000

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Abstract

We show new results from an updated version of the Fast atmOspheric traCe gAs retrievaL (FOCAL) retrieval method applied to measurements of the Greenhouse gases Observing SATellite (GOSAT) and its successor GOSAT-2. FOCAL was originally developed for estimating the total column carbon dioxide mixing ratio (XCO₂) from spectral measurements made by the Orbiting Carbon Observatory-2 (OCO-2). However, depending on the available spectral windows, FOCAL also successfully retrieves total column amounts for other atmospheric species and their uncertainties within one single retrieval. The main focus of the current paper is 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. For XCO₂, the new FOCAL retrieval (v3.0) significantly increases the number of valid data compared with the previous FOCAL retrieval version (v1) by 50 % for GOSAT and about a factor of 2 for GOSAT-2 due to relaxed pre-screening and improved post-processing. All v3.0 FOCAL data products show reasonable spatial distribution and temporal variations. Comparisons with the Total Carbon Column Observing Network (TCCON) 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 on 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 on the order of 8 ppb peak-to-peak, which can be easily resolved by the GOSAT-2 FOCAL data. Noting that only few XN₂O measurements from satellites exist so far, the GOSAT-2 FOCAL product will be a valuable contribution in this context.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.5194/amt-15-3401-2022DOIArticle
https://oco2.gesdisc.eosdis.nasa.gov/data/GOSAT_TANSO_Level2/ACOS_L2_Lite_FP.9r/Related ItemData
https://doi.org/10.5067/VWSABTO7ZII4DOIData
https://cds.climate.copernicus.eu/Related ItemCopernicus Climate Data Store
https://data2.gosat.nies.go.jp/Related ItemGOSAT Data Archive Service
ORCID:
AuthorORCID
Noël, Stefan0000-0002-5216-9110
Reuter, Maximilian0000-0001-9141-3895
Buchwitz, Michael0000-0001-7616-1837
Schneising, Oliver0000-0003-1725-8246
Bovensmann, Heinrich0000-0001-8882-4108
Burrows, John P.0000-0003-1547-8130
Di Noia, Antonio0000-0002-5052-0763
Parker, Robert J.0000-0002-0801-0831
Yoshida, Yukio0000-0002-3515-1488
Buschmann, Matthias0000-0001-5077-9524
Deutscher, Nicholas M.0000-0002-2906-2577
Feist, Dietrich G.0000-0002-5890-6687
Griffith, David W. T.0000-0002-7986-1924
Kivi, Rigel0000-0001-8828-2759
Liu, Cheng0000-0002-3759-9219
Morino, Isamu0000-0003-2720-1569
Notholt, Justus0000-0002-3324-885X
Oh, Young-Suk0000-0001-8010-1597
Ohyama, Hirofumi0000-0003-2109-9874
Petri, Christof0000-0002-7010-5532
Pollard, David F.0000-0001-9923-2984
Roehl, Coleen0000-0001-5383-8462
Rousogenous, Constantina0000-0001-9505-5239
Sha, Mahesh Kumar0000-0003-1440-1529
Shiomi, Kei0000-0002-1206-8614
Strong, Kimberly0000-0001-9947-1053
Té, Yao0000-0001-6405-8074
Velazco, Voltaire A.0000-0002-1376-438X
Vrekoussis, Mihalis0000-0001-8292-8352
Warneke, Thorsten0000-0001-5185-3415
Additional Information:© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License. Received: 08 Feb 2022 – Discussion started: 21 Mar 2022 – Revised: 17 May 2022 – Accepted: 19 May 2022 – Published: 09 Jun 2022. GOSAT and GOSAT-2 spectral data have been provided by JAXA and NIES. CarbonTracker CT2019B and CT-NRT.v2020-1 results were provided by NOAA ESRL, Boulder, Colorado, USA, from the website at http://carbontracker.noaa.gov (last access: 2 June 2022). ABSCO cross sections for CO₂ were provided by NASA and the ACOS/OCO-2 team. GMTED2010 topography data were provided by the U.S. Geological Survey (USGS) and the National Geospatial-Intelligence Agency (NGA). We thank the European Centre for Medium-Range Weather Forecasts (ECMWF) for providing us with analysed meteorological fields (ERA5 data). The GOSAT ACOS v9 Level 2 XCO₂ product from the NASA/OCO-2 team has been obtained from https://oco2.gesdisc.eosdis.nasa.gov/data/GOSAT_TANSO_Level2/ACOS_L2_Lite_FP.9r/, https://doi.org/10.5067/VWSABTO7ZII4 (last access: 16 October 2020). The UoL and SRON GOSAT data products have been obtained from the Copernicus Climate Data Store (https://cds.climate.copernicus.eu/, last assess: 15 October 2020). GOSAT Level 2 data from NIES have been provided by the GOSAT Data Archive Service (GDAS; https://data2.gosat.nies.go.jp/, last access: 17 January 2022). RJP is funded via the UK National Centre for Earth Observation (NE/N018079/1). This research used the ALICE High Performance Computing Facility at the University of Leicester for the UoL GOSAT retrievals. The Paris TCCON site has received funding from Sorbonne Université, the French research centre CNRS, the French space agency CNES and Région Île-de-France. The Réunion station is operated by the Royal Belgian Institute for Space Aeronomy with financial support since 2014 by the EU project ICOS-Inwire and the ministerial decree for ICOS (FR/35/IC1 to FR/35/IC6) as well as local activities supported by LACy/UMR8105 – Université de La Réunion. The TCCON stations at Rikubetsu, Tsukuba and Burgos are supported in part by the GOSAT series project. Local support for Burgos is provided by the Energy Development Corporation (EDC, Philippines). The Eureka measurements were made at the Polar Environment Atmospheric Research Laboratory (PEARL) by the Canadian Network for the Detection of Atmospheric Change (CANDAC), primarily supported by the Natural Sciences and Engineering Research Council of Canada, Environment and Climate Change Canada, and the Canadian Space Agency. The Anmyeondo TCCON station is funded by the Korea Meteorological Administration research and development programme “Development of Monitoring and Analysis Techniques for Atmospheric Composition in Korea” under grant KMA2018-00522. The TCCON Nicosia site has received support from the European Unions’ Horizon 2020 research and innovation programme under grant agreement no. 856612 (EMME-CARE), the Cyprus Government, and by the University of Bremen. NMD is supported by an Australian Research Council (ARC) Future Fellowship (FT180100327). The Darwin and Wollongong TCCON sites have been supported by a series of ARC grants, including DP160100598, DP140100552, DP110103118, DP0879468 and LE0668470, and NASA grants NAG5-12247 and NNG05-GD07G. Large parts of the calculations reported here were performed on high-performance computing (HPC) facilities of the IUP, University of Bremen, funded under DFG/FUGG grant INST 144/379-1 and INST 144/493-1. The work was supported by the Copernicus Atmosphere Monitoring Service (CAMS) via project CAMS2-52b. This work has received funding from JAXA (GOSAT and GOSAT-2 support, contracts 19RT000692 and JX-PSPC-527269), EUMETSAT (FOCAL-CO2M study, contract EUM/CO/19/4600002372/RL), ESA (GHG-CCI+ project, contract 4000126450/19/I-NB), and the state and the University of Bremen. This research has been supported by the Japan Aerospace Exploration Agency (grant nos. 19RT000692 and JX-PSPC-527269), the European Organization for the Exploitation of Meteorological Satellites (grant no. EUM/CO/19/4600002372/RL) and the European Space Agency (grant no. 4000126450/19/I-NB). The article processing charges for this open-access publication were covered by the University of Bremen. Author contributions. SN adapted the FOCAL method to GOSAT and GOSAT-2, generated the updated FOCAL data products and performed the validation. MR developed the FOCAL method and provided the XCO2 and XCH4 reference databases and the TCCON validation tools. JPB provided the used Python implementation for the SLIM XCO2 and methane climatology. MH provided the original Python implementation of FOCAL (OCO-2 version). ADN and RJP provided the UoL data, and YY provided the NIES GOSAT data products. The following co-authors provided TCCON data: MB, NMD, DGF, DWTG, FH, RK, CL, YO, IM, JN, HO, CP, DFP, MR, CR, CR, MKS, KS, KS, RS, YT, VAV, MV and TW. All authors provided support in writing the paper. Competing interests. At least one of the (co-)authors is a member of the editorial board of Atmospheric Measurement Techniques. Review statement. This paper was edited by Alexander Kokhanovsky and reviewed by T. E. Taylor and three anonymous referees.
Funders:
Funding AgencyGrant Number
Natural Environment Research Council (NERC)NE/N018079/1
Sorbonne UniversitéUNSPECIFIED
Centre National de la Recherche Scientifique (CNRS)UNSPECIFIED
Centre National d'Études Spatiales (CNES)UNSPECIFIED
Région Île-de-FranceUNSPECIFIED
Université de La RéunionLACy/UMR8105
Natural Sciences and Engineering Research Council of Canada (NSERC)UNSPECIFIED
Environment and Climate Change CanadaUNSPECIFIED
Canadian Space Agency (CSA)UNSPECIFIED
Korea Meteorological AdministrationKMA2018-00522
European Research Council (ERC)856612
Government of CyprusUNSPECIFIED
University of BremenUNSPECIFIED
Australian Research CouncilFT180100327
Australian Research CouncilDP160100598
Australian Research CouncilDP140100552
Australian Research CouncilDP110103118
Australian Research CouncilDP0879468
Australian Research CouncilLE0668470
NASANAG5-12247
NASANNG05-GD07G
Deutsche Forschungsgemeinschaft (DFG)INST 144/379-1
Deutsche Forschungsgemeinschaft (DFG)INST 144/493-1
Copernicus Atmosphere Monitoring ServiceCAMS2-52b
Japan Aerospace Exploration Agency (JAXA)19RT000692
Japan Aerospace Exploration Agency (JAXA)JX-PSPC-527269
European Organization for the Exploitation of Meteorological SatellitesEUM/CO/19/4600002372/RL
European Space Agency (ESA)4000126450/19/I-NB
Issue or Number:11
DOI:10.5194/amt-15-3401-2022
Record Number:CaltechAUTHORS:20220721-8152000
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220721-8152000
Official Citation:Noël, S., Reuter, M., Buchwitz, M., Borchardt, J., Hilker, M., Schneising, O., Bovensmann, H., Burrows, J. P., Di Noia, A., Parker, R. J., Suto, H., Yoshida, Y., Buschmann, M., Deutscher, N. M., Feist, D. G., Griffith, D. W. T., Hase, F., Kivi, R., Liu, C., Morino, I., Notholt, J., Oh, Y.-S., Ohyama, H., Petri, C., Pollard, D. F., Rettinger, M., Roehl, C., Rousogenous, C., Sha, M. K., Shiomi, K., Strong, K., Sussmann, R., Té, Y., Velazco, V. A., Vrekoussis, M., and Warneke, T.: Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm, Atmos. Meas. Tech., 15, 3401–3437, https://doi.org/10.5194/amt-15-3401-2022, 2022.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:115728
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:22 Jul 2022 22:32
Last Modified:22 Jul 2022 22:32

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