Improving Precipitation Nowcasting for High-Intensity Events Using Deep Generative Models with Balanced Loss and Temperature Data: A Case Study in the NetherlandsSource: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004Author:Cambier van Nooten, Charlotte
,
Schreurs, Koert
,
Wijnands, Jasper S.
,
Leijnse, Hidde
,
Schmeits, Maurice
,
Whan, Kirien
,
Shapovalova, Yuliya
DOI: 10.1175/AIES-D-23-0017.1Publisher: American Meteorological Society
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| contributor author | Cambier van Nooten, Charlotte | |
| contributor author | Schreurs, Koert | |
| contributor author | Wijnands, Jasper S. | |
| contributor author | Leijnse, Hidde | |
| contributor author | Schmeits, Maurice | |
| contributor author | Whan, Kirien | |
| contributor author | Shapovalova, Yuliya | |
| date accessioned | 2024-12-24T15:08:18Z | |
| date available | 2024-12-24T15:08:18Z | |
| date copyright | 01 Oct. 2023 | |
| date issued | 2023 | |
| identifier other | aies-AIES-D-23-0017.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4301871 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Improving Precipitation Nowcasting for High-Intensity Events Using Deep Generative Models with Balanced Loss and Temperature Data: A Case Study in the Netherlands | |
| type | Journal Paper | |
| journal volume | 2 | |
| journal issue | 4 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0017.1 | |
| journal lastpage | e230017 | |
| tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| contenttype | Fulltext |