A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument ; day:04 ; month:04 ; year:2024 ; pages:1-19 ; extent:19
EGUsphere ; (04.04.2024), 1-19 (gesamt 19)
- Urheber
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Oak, Yujin J.
Jacob, Daniel J.
Balasus, Nicholas
Yang, Laura H.
Chong, Heesung
Park, Junsung
Lee, Hanlim
Lee, Gitaek T.
Ha, Eunjo S.
Park, Rokjin J.
Kwon, Hyeong-Ahn
Kim, Jhoon
- DOI
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10.5194/egusphere-2024-393
- URN
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urn:nbn:de:101:1-2024041104455165821665
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:44 MESZ
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Beteiligte
- Oak, Yujin J.
- Jacob, Daniel J.
- Balasus, Nicholas
- Yang, Laura H.
- Chong, Heesung
- Park, Junsung
- Lee, Hanlim
- Lee, Gitaek T.
- Ha, Eunjo S.
- Park, Rokjin J.
- Kwon, Hyeong-Ahn
- Kim, Jhoon
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