A Deep Learning Model for Estimating Tropical Cyclone Wind Radius from Geostationary Satellite Infrared ImagerySource: Monthly Weather Review:;2023:;volume( 151 ):;issue: 002DOI: 10.1175/MWR-D-22-0166.1Publisher: American Meteorological Society
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| contributor author | Wang, Chong | |
| contributor author | Li, Xiaofeng | |
| date accessioned | 2023-08-15T11:02:00Z | |
| date available | 2023-08-15T11:02:00Z | |
| date copyright | 01 Feb. 2023 | |
| date issued | 2023 | |
| identifier other | MWR-D-22-0166.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4291183 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | A Deep Learning Model for Estimating Tropical Cyclone Wind Radius from Geostationary Satellite Infrared Imagery | |
| type | Journal Paper | |
| journal volume | 151 | |
| journal issue | 2 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-22-0166.1 | |
| page | 417-403 | |
| tree | Monthly Weather Review:;2023:;volume( 151 ):;issue: 002 | |
| contenttype | Fulltext |