Physics-Augmented Deep Learning to Improve Tropical Cyclone Intensity and Size Estimation from Satellite ImagerySource: Monthly Weather Review:;2021:;volume( 149 ):;issue: 007::page 2097Author:Zhuo, Jing-Yi;Tan, Zhe-Min
DOI: 10.1175/MWR-D-20-0333.1Publisher: American Meteorological Society
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| contributor author | Zhuo, Jing-Yi;Tan, Zhe-Min | |
| date accessioned | 2022-03-26T19:41:11Z | |
| date available | 2022-03-26T19:41:11Z | |
| date copyright | 01 Jul. 2021 | |
| date issued | 2021 | |
| identifier other | MWR-D-20-0333.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4280448 | |
| publisher | American Meteorological Society | |
| title | Physics-Augmented Deep Learning to Improve Tropical Cyclone Intensity and Size Estimation from Satellite Imagery | |
| type | Journal Paper | |
| journal volume | 149 | |
| journal issue | 7 | |
| journal title | Monthly Weather Review | |
| identifier doi | 10.1175/MWR-D-20-0333.1 | |
| journal fristpage | 2097 | |
| journal lastpage | 2113 | |
| tree | Monthly Weather Review:;2021:;volume( 149 ):;issue: 007 | |
| contenttype | Fulltext |