Emulating the Adaptation of Wind Fields to Complex Terrain with Deep LearningSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001Author:Le Toumelin, Louis
,
Gouttevin, Isabelle
,
Helbig, Nora
,
Galiez, Clovis
,
Roux, Mathis
,
Karbou, Fatima
DOI: 10.1175/AIES-D-22-0034.1Publisher: American Meteorological Society
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| contributor author | Le Toumelin, Louis | |
| contributor author | Gouttevin, Isabelle | |
| contributor author | Helbig, Nora | |
| contributor author | Galiez, Clovis | |
| contributor author | Roux, Mathis | |
| contributor author | Karbou, Fatima | |
| date accessioned | 2024-12-24T15:12:16Z | |
| date available | 2024-12-24T15:12:16Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0034.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301981 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Emulating the Adaptation of Wind Fields to Complex Terrain with Deep Learning | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0034.1 | |
| journal lastpage | e220034 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| contenttype | Fulltext |