Earth system models (ESMs) have grown tremendously in realism, yet key uncertainties persist in the climate response to greenhouse-gas forcing, particularly due to cloud radiative feedbacks. In addition, their software architecture was not designed for accelerator hardware or modern artificial intelligence (AI). Here w...
Pierre Gentine, D. Balwada, Aytaç Paçal et al.· 0 citations
Abrupt transitions in complex systems are often preceded by early warning signals. However, most indicators rely on the notion of critical slowing down and do not generally extend to rate-induced tipping where transitions can occur without local loss of stability. This is problematic in stochastic, nonautonomous system...
J. Nathaniel, C. Roesch, Derek DeSantis et al.· 0 citations
Experimental results show that LoRA-EnVar significantly improves assimilation accuracy over models assuming static background error distribution and achieves comparable or better performance than full finetuning while reducing the number of trainable parameters by three orders of magnitude.
Yi Xiao, Hang Fan, Kun Chen et al.· Neural Information Processin...· 3 citations
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