Global fine resolution mapping of ozone metrics through explainable machine learning

Autor:	Julia Kowalski, Timo Stomberg, Clara Betancourt, Ann-Kathrin Edrich, Martin G. Schultz, Ribana Roscher, Ankit Patnala, Scarlet Stadtler
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	chemistry.chemical_compound Ozone chemistry Computer science Fine resolution ddc:610 Remote sensing
Zdroj:	EGU General Assembly 2021, vEGU21, Online, Online, 2021-04-19-2021-04-30 Göttingen : Copernicus Gesellschaft mbH EGU21-7596, 1 Seite (2021). doi:10.5194/egusphere-egu21-7596 Abstracts & presentations / EGU General Assembly 2021 Abstracts & presentations / EGU General Assembly 2021EGU General Assembly 2021, vEGU21, online, 2021-04-19-2021-04-30
DOI:	10.13140/rg.2.2.17134.13123
Popis:	s & presentations : EGU General Assembly 2021 EGU General Assembly 2021, vEGU21, online, 19 Apr 2021 - 30 Apr 2021; G��ttingen : Copernicus Gesellschaft mbH EGU21-7596, 1 Seite (2021). doi:10.5194/egusphere-egu21-7596 Published by Copernicus Gesellschaft mbH, G��ttingen
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad06d2916cb8ede7a605a0a9ddc45012 Zobrazit plný text záznamu