Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yin, Junzhe"'
Autor:
Yin, Junzhe, Meo, Cristian, Roy, Ankush, Cher, Zeineh Bou, Wang, Yanbo, Imhoff, Ruben, Uijlenhoet, Remko, Dauwels, Justin
Nowcasting leverages real-time atmospheric conditions to forecast weather over short periods. State-of-the-art models, including PySTEPS, encounter difficulties in accurately forecasting extreme weather events because of their unpredictable distribut
Externí odkaz:
http://arxiv.org/abs/2406.10108
Autor:
Meo, Cristian, Roy, Ankush, Lică, Mircea, Yin, Junzhe, Che, Zeineb Bou, Wang, Yanbo, Imhoff, Ruben, Uijlenhoet, Remko, Dauwels, Justin
This paper presents an innovative approach to extreme precipitation nowcasting by employing Transformer-based generative models, namely NowcastingGPT with Extreme Value Loss (EVL) regularization. Leveraging a comprehensive dataset from the Royal Neth
Externí odkaz:
http://arxiv.org/abs/2403.03929
Autor:
Chen, Long, Liang, Chenyue, Neubauer, Franz, Liu, Yongjiang, Yin, Junzhe, Gao, Xinru, Zhao, Jiaqi
Publikováno v:
In Earth-Science Reviews July 2024 254