Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model ; day:16 ; month:01 ; year:2024 ; pages:1-56 ; extent:56
EGUsphere ; (16.01.2024), 1-56 (gesamt 56)

Creator: Nurrohman, Reza Kusuma
Kato, Tomomichi
Ninomiya, Hideki
Végh, Lea
Delbart, Nicolas
Miyauchi, Tatsuya
Sato, Hisashi
Shiraishi, Tomohiro
Hirata, Ryuichi

DOI: 10.5194/egusphere-2024-105

URN: urn:nbn:de:101:1-2024011803170435557648

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

Last update: 15.08.2025, 7:36 AM CEST

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Nurrohman, Reza Kusuma
Kato, Tomomichi
Ninomiya, Hideki
Végh, Lea
Delbart, Nicolas
Miyauchi, Tatsuya
Sato, Hisashi
Shiraishi, Tomohiro
Hirata, Ryuichi

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Future prediction of Siberian wildfire and aerosol emissions via the improved fire module of the spatially explicit individual-based dynamic global vegetation model

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