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| From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling 期刊论文
Nature Communications, 2021
作者: Tsai, Wen-Ping; Feng, Dapeng; Pan, Ming; Beck, Hylke; Lawson, Kathryn; Yang, Yuan; Liu, Jiangtao; Shen, Chaopeng
  收藏 | 浏览/下载：12/0 | 提交时间：2021/10/22 |
| Mitigating prediction error of deep learning streamflow models in large data-sparse regions with ensemble modeling and soft data 期刊论文
Geophysical Research Letters, 2021
作者: Dapeng Feng; Kathryn Lawson; Chaopeng Shen
收藏 | 浏览/下载：10/0 | 提交时间：2021/07/27 |
| Transferring hydrologic data across continents ‐‐ leveraging data‐rich regions to improve hydrologic prediction in data‐sparse regions 期刊论文
Water Resources Research, 2021
作者: Kai Ma; Dapeng Feng; Kathryn Lawson; Wen‐; Ping Tsai; Chuan Liang; Xiaorong Huang; Ashutosh Sharma; Chaopeng Shen
收藏 | 浏览/下载：17/0 | 提交时间：2021/04/06 |
| 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：7/0 | 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：9/0 | 提交时间：2020/07/06 |
| Seasonal and Interannual Patterns and Controls of Hydrological Fluxes in an Amazon Floodplain Lake With a Surface-Subsurface Process Model 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (4) : 3056-3075
作者: Ji, Xinye; Lesack, Lance F. W.; Melack, John M.; Wang, Shilong; Riley, William J.; Shen, Chaopeng
收藏 | 浏览/下载：7/0 | 提交时间：2019/11/26 |
| A Transdisciplinary Review of Deep Learning Research and Its Relevance for Water Resources Scientists 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (11) : 8558-8593
作者: Shen, Chaopeng
收藏 | 浏览/下载：6/0 | 提交时间：2019/04/09
deep learning artificial intelligence AI neuroscience data mining transformative |
| Examining groundwater-flood and soil moisture-flood relationships across scales using national-scale data mining, deep learning and knowledge distillation 项目
项目编号：1832294； 经费：249862(USD)； 起止日期：2018 / dc_date_end
项目负责人: Chaopeng Shen
收藏 | 浏览/下载：13/0 | 提交时间：2019/04/11 |
| 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：6/0 | 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：5/0 | 提交时间：2019/04/09
storage-streamflow relationship base flow GRACE hydrologic signature catchment classification hydrologic machine learning |
