TeleViT1.0: teleconnection-informed vision transformers for subseasonal to seasonal wildfire pattern forecasts

Forecasting wildfires weeks to months in advance is difficult, yet crucial for planning fuel treatments and allocating resources. While short-term predictions typically rely on local weather conditions, long-term forecasting requires accounting for the Earth’s interconnectedness, including global pa...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Ioannis Prapas, Nikolaos Papadopoulos, Nikolaos-Ioannis Bountos, Dimitrios Michail, Gustau Camps-Valls, Ioannis Papoutsis
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IOP Publishing 2026-01-01
Σειρά:	Machine Learning. Earth
Θέματα:	wildfire forecasting deep learning transformers teleconnections subseasonal-to-seasonal S2S
Διαθέσιμο Online:	https://doi.org/10.1088/3049-4753/ae7088
Ετικέτες:	Προσθήκη ετικέτας Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!