| contributor author | Olander, Timothy;Wimmers, Anthony;Velden, Christopher;Kossin, James P. | |
| date accessioned | 2022-03-26T19:50:12Z | |
| date available | 2022-03-26T19:50:12Z | |
| date copyright | 01 Dec. 2021 | |
| date issued | 2021 | |
| identifier other | WAF-D-20-0234.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4280657 | |
| publisher | American Meteorological Society | |
| title | Investigation of Machine Learning Using Satellite-Based Advanced Dvorak Technique Analysis Parameters to Estimate Tropical Cyclone Intensity | |
| type | Journal Paper | |
| journal volume | 36 | |
| journal issue | 6 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-20-0234.1 | |
| journal fristpage | 2161 | |
| journal lastpage | 2186 | |
| tree | Weather and Forecasting:;2021:;volume( 036 ):;issue: 006 | |
| contenttype | Fulltext | |
