GSTDTAP

浏览/检索结果: 共5条,第1-5条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Improving Precipitation Estimation Using Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2301-2321
作者:  Pan, Baoxiang;  Hsu, Kuolin;  AghaKouchak, Amir;  Sorooshian, Soroosh
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/26
deep learning  precipitation  downscaling  
Precise Temporal Disaggregation Preserving Marginals and Correlations (DiPMaC) for Stationary and Nonstationary Processes 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (10) : 7435-7458
作者:  Papalexiou, Simon Michael;  Markonis, Yannis;  Lombardo, Federico;  AghaKouchak, Amir;  Foufoula-Georgiou, Efi
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
A Diagnostic Framework for Understanding Climatology of Tails of Hourly Precipitation Extremes in the United States 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (9) : 6725-6738
作者:  Papalexiou, Simon Michael;  AghaKouchak, Amir;  Foufoula-Georgiou, Efi
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09
hourly precipitation extremes  regionalization of distribution tails  heavy tails  predictive uncertainty  climatology of tails  
Quantifying Changes in Future Intensity-Duration-Frequency Curves Using Multimodel Ensemble Simulations 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (3) : 1751-1764
作者:  Ragno, Elisa;  AghaKouchak, Amir;  Love, Charlotte A.;  Cheng, Linyin;  Vahedifard, Farshid;  Lima, Carlos H. R.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/09
extreme events  nonstationary extreme value analysis  climate change  
Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (7)
作者:  Luke, Adam;  Vrugt, Jasper A.;  AghaKouchak, Amir;  Matthew, Richard;  Sanders, Brett F.
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/09