GSTDTAP

浏览/检索结果: 共3条,第1-3条 帮助

限定条件                        
已选(0)清除 条数/页:   排序方式:
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (7)
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/27
machine learning  deep learning  predictive analytics  artificial intelligence  environmental management  big Data  remote sensing  
Characterizing precipitation events leading to surface water flood damage over large regions of complex terrain 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (6)
作者:  Bernet, Daniel Benjamin;  Trefalt, Simona;  Martius, Olivia;  Weingartner, Rolf;  Mosimann, Markus;  Roethlisberger, Veronika;  Zischg, Andreas Paul
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/26
surface water floods  insurance damage claim data  precipitation  impact-oriented early warning systems  
Predictability of the European heat and cold waves 期刊论文
CLIMATE DYNAMICS, 2019, 52: 2481-2495
作者:  Lavaysse, Christophe;  Naumann, Gustavo;  Alfieri, Lorenzo;  Salamon, Peter;  Vogt, Juergen
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
Predictability  Heat waves  Cold waves  Ensemble forecasts  Validation