%0 Journal Article %1 he2021seasonal %A He, Chentao %A Wei, Jiangfeng %A Song, Yuanyuan %A Luo, Jing-Jia %D 2021 %I MDPI AG %J Water %K MyYangtzeWork machinelearning precip seasonal skill %N 22 %P 3294 %R 10.3390/w13223294 %T Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions %U https://doi.org/10.3390/w13223294 %V 13

@article{he2021seasonal, added-at = {2022-07-15T14:31:36.000+0200}, author = {He, Chentao and Wei, Jiangfeng and Song, Yuanyuan and Luo, Jing-Jia}, biburl = {https://www.bibsonomy.org/bibtex/227143576cfbae370e4e9321da7b2f3f9/pbett}, doi = {10.3390/w13223294}, interhash = {a24cbc94dcb4a71596a0631818b4c47b}, intrahash = {27143576cfbae370e4e9321da7b2f3f9}, journal = {Water}, keywords = {MyYangtzeWork machinelearning precip seasonal skill}, month = nov, number = 22, pages = 3294, publisher = {{MDPI} {AG}}, timestamp = {2022-07-15T14:31:36.000+0200}, title = {Seasonal Prediction of Summer Precipitation in the Middle and Lower Reaches of the Yangtze River Valley: Comparison of Machine Learning and Climate Model Predictions}, url = {https://doi.org/10.3390/w13223294}, volume = 13, year = 2021 }