%0 Generic %1 ling2024fengwuw2sdeeplearningmodel %A Ling, Fenghua %A Chen, Kang %A Wu, Jiye %A Han, Tao %A Luo, Jing-Jia %A Ouyang, Wanli %A Bai, Lei %D 2024 %K proj:bayklif2 %T FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere %U https://arxiv.org/abs/2411.10191

@misc{ling2024fengwuw2sdeeplearningmodel, added-at = {2025-03-13T09:02:13.000+0100}, archiveprefix = {arXiv}, author = {Ling, Fenghua and Chen, Kang and Wu, Jiye and Han, Tao and Luo, Jing-Jia and Ouyang, Wanli and Bai, Lei}, biburl = {https://www.bibsonomy.org/bibtex/25c59a8aba1f42f9baa1eac52cedf0401/annakrause}, description = {[2411.10191] FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere}, eprint = {2411.10191}, interhash = {f31748545e8a77b53680876cd6ba133c}, intrahash = {5c59a8aba1f42f9baa1eac52cedf0401}, keywords = {proj:bayklif2}, primaryclass = {cs.LG}, timestamp = {2025-03-13T09:02:13.000+0100}, title = {FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere}, url = {https://arxiv.org/abs/2411.10191}, year = 2024 }