Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather VariablesSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003DOI: 10.1175/AIES-D-23-0057.1Publisher: American Meteorological Society
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| contributor author | Earnest, Bethany L. | |
| contributor author | McGovern, Amy | |
| contributor author | Karstens, Christopher | |
| contributor author | Jirak, Israel | |
| date accessioned | 2024-12-24T15:27:39Z | |
| date available | 2024-12-24T15:27:39Z | |
| date copyright | 01 Jul. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-23-0057.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4302381 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Part I: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 3 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-23-0057.1 | |
| journal lastpage | e230057 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003 | |
| contenttype | Fulltext |