%0 Journal Article %1 ham2019deep %A Ham, Yoo-Geun %A Kim, Jeong-Hwan %A Luo, Jing-Jia %D 2019 %I Nature Publishing Group %J Nature %K dl enso forecast %N 7775 %P 568--572 %T Deep learning for multi-year ENSO forecasts %V 573

@article{ham2019deep, added-at = {2022-08-05T12:30:11.000+0200}, author = {Ham, Yoo-Geun and Kim, Jeong-Hwan and Luo, Jing-Jia}, biburl = {https://www.bibsonomy.org/bibtex/29cede1fae03dc805fe428144a0ce7c95/msteininger}, interhash = {ecd9216ce0e4ee38732de0eea981f89a}, intrahash = {9cede1fae03dc805fe428144a0ce7c95}, journal = {Nature}, keywords = {dl enso forecast}, number = 7775, pages = {568--572}, publisher = {Nature Publishing Group}, timestamp = {2022-08-05T12:30:11.000+0200}, title = {Deep learning for multi-year ENSO forecasts}, volume = 573, year = 2019 }