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Physics-Constrained Machine Learning of Evapotranspiration 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Zhao, Wen Li;  Gentine, Pierre;  Reichstein, Markus;  Zhang, Yao;  Zhou, Sha;  Wen, Yeqiang;  Lin, Changjie;  Li, Xi;  Qiu, Guo Yu
收藏  |  浏览/下载:16/0  |  提交时间:2020/02/17
machine learning  physics constrained  evapotranspiration  FLUXNET  energy conservation  generalizations  
Detecting Climate Change Effects on Vb Cyclones in a 50-Member Single-Model Ensemble Using Machine Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Mittermeier, M.;  Braun, M.;  Hofstaetter, M.;  Wang, Y.;  Ludwig, R.
收藏  |  浏览/下载:13/0  |  提交时间:2020/02/17
Vb-cyclones  Machine Learning  Artificial Neural Networks (ANN)  Single-Model Large Ensembles  Internal Variability  Floods  
Birds' seasonal migrations shift earlier as climate changes, new research shows 新闻
来源平台:EurekAlert!. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:13/0  |  提交时间:2020/01/16
Birds' Seasonal Migrations Shift Earlier as Climate Changes 新闻
来源平台:Science Daily. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:7/0  |  提交时间:2020/01/20
What next for machine learning in weather forecasting? 新闻
来源平台:European Centre for Medium-Range Weather Forecasts. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:2/0  |  提交时间:2020/01/16
Modelling and data communities meet at ECMWF to advance hydrology 新闻
来源平台:European Centre for Medium-Range Weather Forecasts. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:1/0  |  提交时间:2020/01/16
We Predicted Where Violent Conflicts Will Occur in 2020. Water Is Often a Factor 新闻
来源平台:World Resources Institute. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:7/0  |  提交时间:2020/01/19
RELEASE: Significant Risk of Water-Related Conflict in Parts of Iraq, Iran, Mali, Nigeria, India and Pakistan Over Next 12 Months 新闻
来源平台:World Resources Institute. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:4/0  |  提交时间:2020/01/19
Operational Mapping System for High-Resolution Tropical Forest Carbon Emissions 新闻
来源平台:Science Daily. 发布日期:2019
作者:  admin
收藏  |  浏览/下载:9/0  |  提交时间:2020/01/20
Machine learning and artificial intelligence to aid climate change research and preparedness 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
作者:  Huntingford, Chris;  Jeffers, Elizabeth S.;  Bonsall, Michael B.;  Christensen, Hannah M.;  Lees, Thomas;  Yang, Hui
收藏  |  浏览/下载:15/0  |  提交时间:2020/02/17
climate change  global warming  extreme weather  drought  artificial intelligence  machine learning  climate simulations