Articles | Volume 16, issue 6
https://doi.org/10.5194/amt-16-1477-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-1477-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Mar 2023
Research article |
| 22 Mar 2023
| 22 Mar 2023
Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Yukio Yoshida
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Hirofumi Ohyama
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Shohei Nomura
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Akihide Kamei
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Isamu Morino
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Hitoshi Mukai
Center for Climate Change Adaptation, National Institute for
Environmental Studies, Tsukuba, Japan
Tsuneo Matsunaga
Earth System Division, National Institute for Environmental Studies, Tsukuba, Japan
Joshua L. Laughner
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA, USA
Voltaire A. Velazco
Deutscher Wetterdienst, Meteorological Observatory Hohenpeissenberg, 82383 Hohenpeissenberg, Germany
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and
Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia
Benedikt Herkommer
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Laboratoire d'Études du Rayonnement et de la Matière en
Astrophysique et Atmosphères (LERMA-IPSL), Sorbonne Université,
CNRS, Observatoire de Paris, PSL Université, 75005 Paris, France
Mahesh Kumar Sha
Royal Belgian Institute for Space Agency (BIRA-IASB), Brussels,
Belgium
Rigel Kivi
Space and Earth Observation Centre, Finnish Meteorological Institute, Tähteläntie 62, 99600 Sodankylä, Finland
Minqiang Zhou
CNRC & LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Young Suk Oh
National Institute of Meteorological Sciences, 33, Seohbuk-ro,
Seogwipo-si, Jeju-do 63568, Republic of Korea
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and
Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia
David W. T. Griffith
Centre for Atmospheric Chemistry, School of Earth, Atmospheric and
Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia
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Cited
3 citations as recorded by crossref.
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al. 10.3390/rs15205073
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
3 citations as recorded by crossref.
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- Global Evaluation and Intercomparison of XCO2 Retrievals from GOSAT, OCO-2, and TANSAT with TCCON J. Fang et al. 10.3390/rs15205073
- The importance of digital elevation model accuracy in XCO2 retrievals: improving the Orbiting Carbon Observatory 2 Atmospheric Carbon Observations from Space version 11 retrieval product N. Jacobs et al. 10.5194/amt-17-1375-2024
Latest update: 23 Nov 2024
Short summary
The updated retrieval algorithm for the Greenhouse gases Observing SATellite level 2 product is presented. The main changes in the algorithm from the previous one are the treatment of cirrus clouds, the degradation model of the sensor, solar irradiance, and gas absorption coefficient tables. The retrieval results showed improvements in fitting accuracy and an increase in the data amount over land. On the other hand, there are still large biases of XCO2 which should be corrected over the ocean.
The updated retrieval algorithm for the Greenhouse gases Observing SATellite level 2 product is...
