- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
A global behavioural model of human fire use and management: WHAM! v1.0 ; day:23 ; month:11 ; year:2023 ; pages:1-42 ; extent:42
EGUsphere ; (23.11.2023), 1-42 (gesamt 42)
- Creator
- DOI
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10.5194/egusphere-2023-2162
- URN
-
urn:nbn:de:101:1-2023113003373185032081
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Perkins, Oliver
- Kasoar, Matthew
- Voulgarakis, Apostolos
- Smith, Cathy
- Mistry, Jay
- Millington, James
Other Objects (12)
A global behavioural model of human fire use and management: WHAM! v1.0
Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations
AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics
AttentionFire_v1.0: interpretable machine learning fire model for burned area predictions over tropics
The Open Global Glacier Model (OGGM) v1.0
Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation-fire model SSiB4/TRIFFID-Fire v1.0
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APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region
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V.6. - V.10.
V.1. - V.10.
V.10. - V.13.
A global behavioural model of human fire use and management: WHAM! v1.0
Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations
AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics
AttentionFire_v1.0: interpretable machine learning fire model for burned area predictions over tropics
The Open Global Glacier Model (OGGM) v1.0
Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation-fire model SSiB4/TRIFFID-Fire v1.0
GREAT v1.0: Global Real-time Early Assessment of Tsunamis
APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region
V.10. - V.25.
V.6. - V.10.
V.1. - V.10.
V.10. - V.13.
A global behavioural model of human fire use and management: WHAM! v1.0
Analysis fire patterns and drivers with a global SEVER-FIRE v1.0 model incorporated into dynamic global vegetation model and satellite and on-ground observations
AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics
AttentionFire_v1.0: interpretable machine learning fire model for burned area predictions over tropics
The Open Global Glacier Model (OGGM) v1.0
Modeling long-term fire impact on ecosystem characteristics and surface energy using a process-based vegetation-fire model SSiB4/TRIFFID-Fire v1.0
GREAT v1.0: Global Real-time Early Assessment of Tsunamis
APIFLAME v1.0: high-resolution fire emission model and application to the Euro-Mediterranean region
V.10. - V.25.
V.6. - V.10.
V.1. - V.10.