| contributor author | Zhang, Zhi;Wang, Dagang;Qiu, Jianxiu;Zhu, Jinxin;Wang, Tingli | |
| date accessioned | 2022-03-26T19:17:16Z | |
| date available | 2022-03-26T19:17:16Z | |
| date copyright | 01 Oct. 2021 | |
| date issued | 2021 | |
| identifier other | JHM-D-21-0019.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4279881 | |
| publisher | American Meteorological Society | |
| title | Machine Learning Approaches for Improving Near-Real-Time IMERG Rainfall Estimates by Integrating Cloud Properties from NOAA CDR PATMOS-x | |
| type | Journal Paper | |
| journal volume | 22 | |
| journal issue | 10 | |
| journal title | Journal of Hydrometeorology | |
| identifier doi | 10.1175/JHM-D-21-0019.1 | |
| journal fristpage | 2767 | |
| journal lastpage | 2781 | |
| tree | Journal of Hydrometeorology:;2021:;volume( 022 ):;issue: 010 | |
| contenttype | Fulltext | |
