Postprocessing of NWP Precipitation Forecasts Using Deep LearningSource: Weather and Forecasting:;2023:;volume( 038 ):;issue: 003::page 487Author:Rojas-Campos, Adrian
,
Wittenbrink, Martin
,
Nieters, Pascal
,
Schaffernicht, Erik J.
,
Keller, Jan D.
,
Pipa, Gordon
DOI: 10.1175/WAF-D-21-0207.1Publisher: American Meteorological Society
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| contributor author | Rojas-Campos, Adrian | |
| contributor author | Wittenbrink, Martin | |
| contributor author | Nieters, Pascal | |
| contributor author | Schaffernicht, Erik J. | |
| contributor author | Keller, Jan D. | |
| contributor author | Pipa, Gordon | |
| date accessioned | 2024-12-24T13:49:34Z | |
| date available | 2024-12-24T13:49:34Z | |
| date copyright | 01 Mar. 2023 | |
| date issued | 2023 | |
| identifier other | wefo-WAF-D-21-0207.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299677 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Postprocessing of NWP Precipitation Forecasts Using Deep Learning | |
| type | Journal Paper | |
| journal volume | 38 | |
| journal issue | 3 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-21-0207.1 | |
| journal fristpage | 487 | |
| journal lastpage | 497 | |
| tree | Weather and Forecasting:;2023:;volume( 038 ):;issue: 003 | |
| contenttype | Fulltext |