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description 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.
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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.
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description 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.
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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