中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共4条，第1-4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  
Short-Term Precipitation Forecast Based on the PERSIANN System and LSTM Recurrent Neural NetworksN 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (22) : 12543-12563
作者:  Asanjan, Ata Akbari;  Yang, Tiantian;  Hsu, Kuolin;  Sorooshian, Soroosh;  Lin, Junqiang;  Peng, Qidong
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Merging high-resolution satellite-based precipitation fields and point-scale rain gauge measurements-A case study in Chile 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (10)
作者:  Yang, Zhongwen;  Hsu, Kuolin;  Sorooshian, Soroosh;  Xu, Xinyi;  Braithwaite, Dan;  Zhang, Yuan;  Verbist, Koen M. J.
收藏  |  浏览/下载：19/0  |  提交时间：2019/04/09
Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (4)
作者:  Yang, Tiantian;  Asanjan, Ata Akbari;  Welles, Edwin;  Gao, Xiaogang;  Sorooshian, Soroosh;  Liu, Xiaomang
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09