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Evaluating the potential and challenges of an uncertainty quantification method for long short‐term memory models for soil moisture predictions 期刊论文
Water Resources Research, 2020
作者:  Kuai Fang;  Daniel Kifer;  Kathryn Lawson;  Chaopeng Shen
收藏  |  浏览/下载：17/0  |  提交时间：2020/11/20
Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales 期刊论文
Water Resources Research, 2020
作者:  Dapeng Feng;  Kuai Fang;  Chaopeng Shen
收藏  |  浏览/下载：16/0  |  提交时间：2020/07/06
Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental US Using a Deep Learning Neural Network 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (21)
作者:  Fang, Kuai;  Shen, Chaopeng;  Kifer, Daniel;  Yang, Xiao
收藏  |  浏览/下载：12/0  |  提交时间：2019/04/09
SMAP  deep learning  LSTM  soil moisture  hindcasting  remote sensing  
Full-flow-regime storage-streamflow correlation patterns provide insights into hydrologic functioning over the continental US 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (9)
作者:  Fang, Kuai;  Shen, Chaopeng
收藏  |  浏览/下载：12/0  |  提交时间：2019/04/09
storage-streamflow relationship  base flow  GRACE  hydrologic signature  catchment classification  hydrologic machine learning