2 code implementations • 10 Apr 2024 • Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
To our knowledge, our work is the first to apply deep generative framework for multimodal data assimilation using real-world datasets; an important step for building robust computational simulators, including the next-generation Earth system models.
1 code implementation • 1 Feb 2024 • Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
Thus, we propose ChaosBench, a large-scale, multi-channel, physics-based benchmark for S2S prediction.
no code implementations • 25 Oct 2022 • Juan Nathaniel, Levente J. Klein, Campbell D. Watson, Gabrielle Nyirjesy, Conrad M. Albrecht
Furthermore, models that learn from SIF-based GPP in addition to radar and optical imagery reduce validation RMSE by almost 10% and the standard deviation by 40%.