Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning
| dc.contributor.author | Richards, Jordan | |
| dc.contributor.author | Huser, Raphaël | |
| dc.contributor.author | Bevacqua, Emanuele | |
| dc.contributor.author | Zscheischler, Jakob | |
| dc.date.accessioned | 2024-12-24T14:00:34Z | |
| dc.date.available | 2024-12-24T14:00:34Z | |
| dc.date.copyright | 01 Oct. 2023 | |
| dc.date.issued | 2023 | |
| dc.identifier.other | aies-AIES-D-22-0095.1.pdf | |
| dc.identifier.uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4300000 | |
| dc.language | English | |
| dc.publisher | American Meteorological Society | |
| dc.title | Insights into the Drivers and Spatiotemporal Trends of Extreme Mediterranean Wildfires with Statistical Deep Learning | |
| dc.type | Journal Paper | |
| dc.journal.volume | 2 | |
| dc.journal.issue | 4 | |
| dc.journal.title | Artificial Intelligence for the Earth Systems | |
| dc.identifier.doi | 10.1175/AIES-D-22-0095.1 | |
| dc.journal.lastpage | e220095 | |
| dc.tree | Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004 | |
| dc.contenttype | Fulltext |