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| Project to bring affordable 3D-printed stream, snow, and storm surge sensors to remote communities 新闻 来源平台:National Center of Atmospheric Research. 发布日期:2022 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2022/06/24 |
| Meet Imagine H2O Asia’s third cohort of water tech startups 新闻 来源平台:Eco-Business Research. 发布日期:2021 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:32/0  |  提交时间:2021/11/15 |
| Addressing the human cost in a changing climate 期刊论文 Science, 2021 作者: Bina Desai; David N. Bresch; Christelle Cazabat; Stefan Hochrainer-Stigler; Reinhard Mechler; Sylvain Ponserre; Jacob Schewe
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:25/0  |  提交时间:2021/06/24 |
| River basins on the edge of change 期刊论文 Science, 2021 作者: Flavia Tauro
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:37/0  |  提交时间:2021/05/21 |
| Physics‐informed neural networks with monotonicity constraints for Richardson‐Richards equation: Estimation of constitutive relationships and soil water flux density from volumetric water content measurements 期刊论文 Water Resources Research, 2020 作者: Toshiyuki Bandai; Teamrat A. Ghezzehei
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:10/0  |  提交时间:2020/12/28 |
| Measuring drought risk 科技报告 来源:Australian Bureau of Agricultural and Resource Economics and Sciences. 出版年: 2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:11/0  |  提交时间:2020/11/20 |
| 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
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:9/0  |  提交时间:2020/11/20 |
| Interview with Arctic Council Observer: World Meteorological Organization (WMO) 新闻 来源平台:Arctic Council. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:8/0  |  提交时间:2020/07/22 |
| Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文 WATER RESOURCES RESEARCH, 2020, 56 (5) 作者: Schmidt, Lennart; Hesse, Falk; Attinger, Sabine; Kumar, Rohini
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2020/05/13 machine learning inference floods |
| Call for Research Demonstrators for UNFCCC COP–26 新闻 来源平台:future earth. 发布日期:2020 作者: admin
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:13/0  |  提交时间:2020/04/16 |