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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Hiroshi Tanimoto; Tsuneo Matsunaga; Yu Someya; Tamaki Fujinawa; Hirofumi Ohyama; Isamu Morino; Hisashi Yashiro; Takafumi Sugita; Satoshi Inomata; Astrid Müller; Tazu Saeki; Yukio Yoshida; Yosuke Niwa; Makoto Saito; Hibiki Noda; Yousuke Yamashita; Kohei Ikeda; Nobuko Saigusa; Toshinobu Machida; Matthias Max Frey; Hyunkwang Lim; Priyanka Srivastava; Yoshitaka Jin; Atsushi Shimizu; Tomoaki Nishizawa; Yugo Kanaya; Takashi Sekiya; Prabir Patra; Masayuki Takigawa; Jagat Bisht; Yasko Kasai; Tomohiro O. Sato;Abstract The Japanese Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW) will be an Earth-observing satellite to conduct global observations of atmospheric carbon dioxide (CO2), methane (CH4), and nitrogen dioxide (NO2) simultaneously from a single platform. GOSAT-GW is the third satellite in the series of the currently operating Greenhouse gases Observing SATellite (GOSAT) and GOSAT-2. It will carry two sensors, the Total Anthropogenic and Natural emissions mapping SpectrOmeter-3 (TANSO-3) and the Advanced Microwave Scanning Radiometer 3 (AMSR3), with the latter dedicated to the observation of physical parameters related to the water cycle. TANSO-3 is a high-resolution grating spectrometer designed to measure reflected sunlight in the visible to short-wave infrared spectral ranges. It aims to retrieve the column-averaged dry-air mole fractions of CO2 and CH4 (denoted as XCO2 and XCH4, respectively), as well as the vertical column density of tropospheric NO2. The TANSO-3 sensor onboard GOSAT-GW will utilize the wavelength bands of 0.45, 0.76, and 1.61 µm for NO2, O2, and CO2 and CH4 retrievals, respectively. GOSAT-GW will fly in a sun-synchronous orbit with a local overpass time of approximately 13:30 and a 3-day ground-track repeat cycle. The TANSO-3 sensor has two observation modes in the push-broom operation: Wide Mode, which provides globally covered maps with a 10-km spatial resolution within 3 days, and Focus Mode, which provides snapshot maps over targeted areas with a high spatial resolution of 1–3 km. The objectives of the GOSAT-GW mission include (1) monitoring atmospheric global-mean concentrations of greenhouse gasses (GHGs), (2) verifying national anthropogenic GHG emissions inventories, and (3) detecting GHG emissions from large sources, such as megacities and power plants. A comprehensive validation exercise will be conducted to ensure that the sensor products’ quality meets the required precision to achieve the above objectives. With a projected operational lifetime of seven years, GOSAT-GW will provide vital space-based constraints on both anthropogenic and natural GHG emissions. These measurements will contribute significantly to climate change mitigation efforts, particularly by supporting the Global Stocktake (GST) mechanism, a key element of the Paris Agreement.
Progress in Earth an... arrow_drop_down Progress in Earth and Planetary ScienceArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Progress in Earth an... arrow_drop_down Progress in Earth and Planetary ScienceArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s40645-025-00684-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, Spain, SpainPublisher:MDPI AG Funded by:UKRI | The Global Methane Budget, EC | VERIFY, EC | ATMO-ACCESS +6 projectsUKRI| The Global Methane Budget ,EC| VERIFY ,EC| ATMO-ACCESS ,DFG ,ANR| MERCI-CO2 ,EC| PAUL ,EC| CoSense4Climate ,GSRI ,EC| MARSUMahesh Kumar Sha; Saswati Das; Matthias M. Frey; Darko Dubravica; Carlos Alberti; Bianca C. Baier; Dimitrios Balis; Alejandro Bezanilla; Thomas Blumenstock; Hartmut Boesch; Zhaonan Cai; Jia Chen; Alexandru Dandocsi; Martine De Mazière; Stefani Foka; Omaira García; Lawson David Gillespie; Konstantin Gribanov; Jochen Gross; Michel Grutter; Philip Handley; Frank Hase; Pauli Heikkinen; Neil Humpage; Nicole Jacobs; Sujong Jeong; Tomi Karppinen; Matthäus Kiel; Rigel Kivi; Bavo Langerock; Joshua Laughner; Morgan Lopez; Maria Makarova; Marios Mermigkas; Isamu Morino; Nasrin Mostafavipak; Anca Nemuc; Timothy Newberger; Hirofumi Ohyama; William Okello; Gregory Osterman; Hayoung Park; Razvan Pirloaga; David F. Pollard; Uwe Raffalski; Michel Ramonet; Eliezer Sepúlveda; William R. Simpson; Wolfgang Stremme; Colm Sweeney; Noemie Taquet; Chrysanthi Topaloglou; Qiansi Tu; Thorsten Warneke; Debra Wunch; Vyacheslav Zakharov; Minqiang Zhou;handle: 20.500.11765/16656
The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO). The fiducial reference measurements of these gases from the COCCON complement the TCCON and NDACC-IRWG data. This study shows the application of COCCON data for the validation of existing greenhouse gas satellite products. This study includes the validation of XCH4 and XCO products from the European Copernicus Sentinel-5 Precursor (S5P) mission, XCO2 products from the American Orbiting Carbon Observatory-2 (OCO-2) mission, and XCO2 and XCH4 products from the Japanese Greenhouse gases Observing SATellite (GOSAT). A total of 27 datasets contributed to this study; some of these were collected in the framework of campaign activities and covered only a short time period. In addition, several permanent stations provided long-term observations. The random uncertainties in the validation results, specifically for S5P with a lot of coincidences pairs, are found to be similar to the comparison with the TCCON. The comparison results of OCO-2 land nadir and land glint observation modes to the COCCON on a global scale, despite limited coincidences, are very promising. The stations can, therefore, expand on the coverage of the already existing ground-based reference remote sensing sites from the TCCON and the NDACC network. The COCCON data can be used for future satellite and model validation studies and carbon cycle studies.
Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Springer Science and Business Media LLC Hiroshi Tanimoto; Tsuneo Matsunaga; Yu Someya; Tamaki Fujinawa; Hirofumi Ohyama; Isamu Morino; Hisashi Yashiro; Takafumi Sugita; Satoshi Inomata; Astrid Müller; Tazu Saeki; Yukio Yoshida; Yosuke Niwa; Makoto Saito; Hibiki Noda; Yousuke Yamashita; Kohei Ikeda; Nobuko Saigusa; Toshinobu Machida; Matthias Max Frey; Hyunkwang Lim; Priyanka Srivastava; Yoshitaka Jin; Atsushi Shimizu; Tomoaki Nishizawa; Yugo Kanaya; Takashi Sekiya; Prabir Patra; Masayuki Takigawa; Jagat Bisht; Yasko Kasai; Tomohiro O. Sato;Abstract The Japanese Global Observing SATellite for Greenhouse gases and Water cycle (GOSAT-GW) will be an Earth-observing satellite to conduct global observations of atmospheric carbon dioxide (CO2), methane (CH4), and nitrogen dioxide (NO2) simultaneously from a single platform. GOSAT-GW is the third satellite in the series of the currently operating Greenhouse gases Observing SATellite (GOSAT) and GOSAT-2. It will carry two sensors, the Total Anthropogenic and Natural emissions mapping SpectrOmeter-3 (TANSO-3) and the Advanced Microwave Scanning Radiometer 3 (AMSR3), with the latter dedicated to the observation of physical parameters related to the water cycle. TANSO-3 is a high-resolution grating spectrometer designed to measure reflected sunlight in the visible to short-wave infrared spectral ranges. It aims to retrieve the column-averaged dry-air mole fractions of CO2 and CH4 (denoted as XCO2 and XCH4, respectively), as well as the vertical column density of tropospheric NO2. The TANSO-3 sensor onboard GOSAT-GW will utilize the wavelength bands of 0.45, 0.76, and 1.61 µm for NO2, O2, and CO2 and CH4 retrievals, respectively. GOSAT-GW will fly in a sun-synchronous orbit with a local overpass time of approximately 13:30 and a 3-day ground-track repeat cycle. The TANSO-3 sensor has two observation modes in the push-broom operation: Wide Mode, which provides globally covered maps with a 10-km spatial resolution within 3 days, and Focus Mode, which provides snapshot maps over targeted areas with a high spatial resolution of 1–3 km. The objectives of the GOSAT-GW mission include (1) monitoring atmospheric global-mean concentrations of greenhouse gasses (GHGs), (2) verifying national anthropogenic GHG emissions inventories, and (3) detecting GHG emissions from large sources, such as megacities and power plants. A comprehensive validation exercise will be conducted to ensure that the sensor products’ quality meets the required precision to achieve the above objectives. With a projected operational lifetime of seven years, GOSAT-GW will provide vital space-based constraints on both anthropogenic and natural GHG emissions. These measurements will contribute significantly to climate change mitigation efforts, particularly by supporting the Global Stocktake (GST) mechanism, a key element of the Paris Agreement.
Progress in Earth an... arrow_drop_down Progress in Earth and Planetary ScienceArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s40645-025-00684-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert Progress in Earth an... arrow_drop_down Progress in Earth and Planetary ScienceArticle . 2025 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.21203/rs.3....Article . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1186/s40645-025-00684-9&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2025 France, Spain, SpainPublisher:MDPI AG Funded by:UKRI | The Global Methane Budget, EC | VERIFY, EC | ATMO-ACCESS +6 projectsUKRI| The Global Methane Budget ,EC| VERIFY ,EC| ATMO-ACCESS ,DFG ,ANR| MERCI-CO2 ,EC| PAUL ,EC| CoSense4Climate ,GSRI ,EC| MARSUMahesh Kumar Sha; Saswati Das; Matthias M. Frey; Darko Dubravica; Carlos Alberti; Bianca C. Baier; Dimitrios Balis; Alejandro Bezanilla; Thomas Blumenstock; Hartmut Boesch; Zhaonan Cai; Jia Chen; Alexandru Dandocsi; Martine De Mazière; Stefani Foka; Omaira García; Lawson David Gillespie; Konstantin Gribanov; Jochen Gross; Michel Grutter; Philip Handley; Frank Hase; Pauli Heikkinen; Neil Humpage; Nicole Jacobs; Sujong Jeong; Tomi Karppinen; Matthäus Kiel; Rigel Kivi; Bavo Langerock; Joshua Laughner; Morgan Lopez; Maria Makarova; Marios Mermigkas; Isamu Morino; Nasrin Mostafavipak; Anca Nemuc; Timothy Newberger; Hirofumi Ohyama; William Okello; Gregory Osterman; Hayoung Park; Razvan Pirloaga; David F. Pollard; Uwe Raffalski; Michel Ramonet; Eliezer Sepúlveda; William R. Simpson; Wolfgang Stremme; Colm Sweeney; Noemie Taquet; Chrysanthi Topaloglou; Qiansi Tu; Thorsten Warneke; Debra Wunch; Vyacheslav Zakharov; Minqiang Zhou;handle: 20.500.11765/16656
The COllaborative Carbon Column Observing Network has become a reliable source of high-quality ground-based remote sensing network data that provide column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4), and carbon monoxide (XCO). The fiducial reference measurements of these gases from the COCCON complement the TCCON and NDACC-IRWG data. This study shows the application of COCCON data for the validation of existing greenhouse gas satellite products. This study includes the validation of XCH4 and XCO products from the European Copernicus Sentinel-5 Precursor (S5P) mission, XCO2 products from the American Orbiting Carbon Observatory-2 (OCO-2) mission, and XCO2 and XCH4 products from the Japanese Greenhouse gases Observing SATellite (GOSAT). A total of 27 datasets contributed to this study; some of these were collected in the framework of campaign activities and covered only a short time period. In addition, several permanent stations provided long-term observations. The random uncertainties in the validation results, specifically for S5P with a lot of coincidences pairs, are found to be similar to the comparison with the TCCON. The comparison results of OCO-2 land nadir and land glint observation modes to the COCCON on a global scale, despite limited coincidences, are very promising. The stations can, therefore, expand on the coverage of the already existing ground-based reference remote sensing sites from the TCCON and the NDACC network. The COCCON data can be used for future satellite and model validation studies and carbon cycle studies.
Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs17050734&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!
more_vert Remote Sensing arrow_drop_down Remote SensingArticleLicense: CC BYFull-Text: https://www.mdpi.com/2072-4292/17/5/734/pdfData sources: Sygmaadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/rs17050734&type=result"></script>'); --> </script>
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