Deep Learning–Based Parameter Transfer in Meteorological DataSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001Author:Farokhmanesh, Fatemeh
,
Höhlein, Kevin
,
Necker, Tobias
,
Weissmann, Martin
,
Miyoshi, Takemasa
,
Westermann, Rüdiger
DOI: 10.1175/AIES-D-22-0024.1Publisher: American Meteorological Society
|
Collections
Show full item record
| contributor author | Farokhmanesh, Fatemeh | |
| contributor author | Höhlein, Kevin | |
| contributor author | Necker, Tobias | |
| contributor author | Weissmann, Martin | |
| contributor author | Miyoshi, Takemasa | |
| contributor author | Westermann, Rüdiger | |
| date accessioned | 2024-12-24T15:20:37Z | |
| date available | 2024-12-24T15:20:37Z | |
| date copyright | 01 Jan. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-22-0024.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302203 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Deep Learning–Based Parameter Transfer in Meteorological Data | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 1 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0024.1 | |
| journal lastpage | e220024 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 001 | |
| contenttype | Fulltext |