Improving Short-Term QPF Using Geostationary Satellite All-Sky Infrared Radiances: Real-Time Ensemble Data Assimilation and Forecast during the PRECIP 2020 and 2021 ExperimentsSource: Weather and Forecasting:;2023:;volume( 038 ):;issue: 004::page 591DOI: 10.1175/WAF-D-22-0156.1Publisher: American Meteorological Society
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| contributor author | Zhang, Yunji | |
| contributor author | Chen, Xingchao | |
| contributor author | Bell, Michael M. | |
| date accessioned | 2024-12-24T13:49:23Z | |
| date available | 2024-12-24T13:49:23Z | |
| date copyright | 01 Apr. 2023 | |
| date issued | 2023 | |
| identifier other | wefo-WAF-D-22-0156.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299671 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Improving Short-Term QPF Using Geostationary Satellite All-Sky Infrared Radiances: Real-Time Ensemble Data Assimilation and Forecast during the PRECIP 2020 and 2021 Experiments | |
| type | Journal Paper | |
| journal volume | 38 | |
| journal issue | 4 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-22-0156.1 | |
| journal fristpage | 591 | |
| journal lastpage | 609 | |
| tree | Weather and Forecasting:;2023:;volume( 038 ):;issue: 004 | |
| contenttype | Fulltext |