Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from GOSAT, OCO-2, and CAMS-EGG4 with a spatiotemporally self-supervised fusion method

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Seamless mapping of long-term (2010–2020) daily global XCO₂ and XCH₄ from GOSAT, OCO-2, and CAMS-EGG4 with a spatiotemporally self-supervised fusion method ; day:02 ; month:03 ; year:2023 ; pages:1-30 ; extent:30
Earth system science data discussions ; (02.03.2023), 1-30 (gesamt 30)

Creator: Wang, Yuan
Yuan, Qiangqiang
Li, Tongwen
Yang, Yuanjian
Zhou, Siqin
Zhang, Liangpei

DOI: 10.5194/essd-2023-28

URN: urn:nbn:de:101:1-2023033006152709635593

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:01 AM CEST

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Wang, Yuan
Yuan, Qiangqiang
Li, Tongwen
Yang, Yuanjian
Zhou, Siqin
Zhang, Liangpei

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Seamless mapping of long-term (2010&ndash;2020) daily global XCO<sub>2</sub> and XCH<sub>4</sub> from GOSAT, OCO-2, and CAMS-EGG4 with a spatiotemporally self-supervised fusion method

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Other Objects (12)

Seamless mapping of long-term (2010–2020) daily global XCO<sub>2</sub> and XCH<sub>4</sub> from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method

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Seamless mapping of long-term (2010–2020) daily global XCO<sub>2</sub> and XCH<sub>4</sub> from GOSAT, OCO-2, and CAMS-EGG4 with a spatiotemporally self-supervised fusion method