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http://hdl.handle.net/20.500.11765/13443
An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm
Title: | An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm |
Authors: | Taylor, Thomas E.; O’Dell, Christopher W.; Crisp, David; Kuze, Akhiko; Lindqvist, Hannakaisa; Wennberg, Paul O.; Chatterjee, Abhishek; Gunson, Michael R.; Eldering, Annmarie; Fisher, Brendan; Kiel, Matthaeus; Nelson, Robert R.; Merrelli, Aronne; Osterman, Gregory; Chevallier, Frédéric; Palmer, Paul I.; Feng, Liang; Deutscher, Nicholas Michael; Dubey, Manvendra K.; Feist, Dietrich G.; García Rodríguez, Omaira Elena
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Keywords: | Satellite observations; Greenhouse gases; GOSAT; Carbon dioxide |
Issue Date: | 2022 |
Publisher: | Copernicus Publications |
Citation: | Earth System Science Data. 2022, 14, p. 325–360 |
Publisher version: | https://doi.org/10.5194/essd-14-325-2022 |
Abstract: | The Thermal And Near infrared Sensor for carbon Observation – Fourier Transform Spectrometer (TANSO-FTS) on the Japanese Greenhouse gases Observing SATellite (GOSAT) has been returning data since April 2009. The version 9 (v9) Atmospheric Carbon Observations from Space (ACOS) Level 2 Full Physics (L2FP) retrieval algorithm (Kiel et al., 2019) was used to derive estimates of carbon dioxide (CO2) dry air mole fraction (XCO2) from the TANSO-FTS measurements collected over its first 11 years of operation. The bias correction and quality filtering of the L2FP XCO2 product were evaluated using estimates derived from the Total Carbon Column Observing Network (TCCON) as well as values simulated from a suite of global atmospheric inversion systems (models) which do not assimilate satellite-derived CO2. In addition, the v9 ACOS GOSAT XCO2 results were compared with collocated XCO2 estimates derived from NASA’s Orbiting Carbon Observatory-2 (OCO-2), using the version 10 (v10) ACOS L2FP algorithm. |
Sponsorship : | The TCCON Nicosia site has received additional support from the European Union’s Horizon 2020 research and innovation program under grant agreement no. 856612 and the Cyprus Government, and by the University of Bremen. |
URI: | http://hdl.handle.net/20.500.11765/13443 |
ISSN: | 1866-3508 1866-3516 |
Appears in Collections: | Artículos científicos 2019-2022 |
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![]() | essd-14-325-2022.pdf | 17,35 MB | Adobe PDF | ![]() View/Open |
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