Predicting Short-Term Intensity Change in Tropical Cyclones Using a Convolutional Neural NetworkSource: Weather and Forecasting:;2024:;volume( 039 ):;issue: 001::page 177DOI: 10.1175/WAF-D-23-0085.1Publisher: American Meteorological Society
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| contributor author | Griffin, Sarah M. | |
| contributor author | Wimmers, Anthony | |
| contributor author | Velden, Christopher S. | |
| date accessioned | 2024-12-24T13:56:36Z | |
| date available | 2024-12-24T13:56:36Z | |
| date copyright | 01 Jan. 2024 | |
| date issued | 2024 | |
| identifier other | wefo-WAF-D-23-0085.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299876 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Predicting Short-Term Intensity Change in Tropical Cyclones Using a Convolutional Neural Network | |
| type | Journal Paper | |
| journal volume | 39 | |
| journal issue | 1 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-23-0085.1 | |
| journal fristpage | 177 | |
| journal lastpage | 202 | |
| tree | Weather and Forecasting:;2024:;volume( 039 ):;issue: 001 | |
| contenttype | Fulltext |