Predicting Region-Dependent Biases in a GOES-16 Machine Learning Precipitation RetrievalSource: Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 007::page 873DOI: 10.1175/JAMC-D-22-0089.1Publisher: American Meteorological Society
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| contributor author | Goldenstern, Eric | |
| contributor author | Kummerow, Christian | |
| date accessioned | 2024-12-24T14:13:50Z | |
| date available | 2024-12-24T14:13:50Z | |
| date copyright | 01 Jul. 2023 | |
| date issued | 2023 | |
| identifier other | apme-JAMC-D-22-0089.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300384 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Predicting Region-Dependent Biases in a GOES-16 Machine Learning Precipitation Retrieval | |
| type | Journal Paper | |
| journal volume | 62 | |
| journal issue | 7 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/JAMC-D-22-0089.1 | |
| journal fristpage | 873 | |
| journal lastpage | 885 | |
| tree | Journal of Applied Meteorology and Climatology:;2023:;volume( 062 ):;issue: 007 | |
| contenttype | Fulltext |