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| AI Model Shows Promise to Generate Faster, More Accurate Weather Forecasts 科技资讯 2020 收藏  |  浏览/下载:1/0  |  提交时间:2020/12/16 |
| AI model shows promise to generate faster, more accurate weather forecasts 科技资讯 2020 收藏  |  浏览/下载:2/0  |  提交时间:2020/12/16 |
| AI model shows promise to generate faster, more accurate weather forecasts 科技资讯 2020 收藏  |  浏览/下载:2/0  |  提交时间:2020/12/16 |
| Global Carbon Budget 2020 科技报告 , 2020 作者: [unavailable] Adobe PDF(8409Kb)  |  收藏  |  浏览/下载:9/1  |  提交时间:2021/11/24 |
| State of the Climate in 2019 科技报告 , 2020 作者: [unavailable] Adobe PDF(46553Kb)  |  收藏  |  浏览/下载:17/2  |  提交时间:2021/11/24 |
| Assessment of Climate Change over the Indian Region 科技报告 , 2020 作者: [unavailable] Adobe PDF(24655Kb)  |  收藏  |  浏览/下载:14/1  |  提交时间:2021/11/24 |
| Daily Weather Reconstructions to Study Decadal Climate Swings 项目 项目编号: 200020_188701, 资助机构: CH-SNSF, 2020-2024 负责人: Brönnimann Stefan 收藏  |  浏览/下载:16/0  |  提交时间:2021/08/17 |
| A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations 期刊论文 , 2020, 卷号: 143 作者: Jing W.; Di L.; Zhao X.; Yao L.; Xia X.; Liu Y.; Yang J.; Li Y.; Zhou C. 收藏  |  浏览/下载:31/0  |  提交时间:2020/07/28 Decision trees Digital storage Evapotranspiration Geodetic satellites Groundwater Learning systems Soil moisture Surface measurement Water conservation Water supply Data-driven approach Ensemble learning algorithm Gravity recovery and climate experiment satellites Groundwater storage Land surface modeling Machine learning models Terrestrial water storage Variable importances Learning algorithms |
| Assessment of High-Resolution Dynamical and Machine Learning Models for Prediction of Sea Ice Concentration in a Regional Application 期刊论文 Journal of Geophysical Research: Oceans, 2020, 卷号: 125, 期号: 11 作者: Fritzner S.; Graversen R.; Christensen K.H. 收藏  |  浏览/下载:11/0  |  提交时间:2021/07/19 |
| Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance 期刊论文 Earth Science Reviews, 2020, 卷号: 207 作者: Merghadi A.; Yunus A.P.; Dou J.; Whiteley J.; ThaiPham B.; Bui D.T.; Avtar R.; Abderrahmane B. 收藏  |  浏览/下载:10/0  |  提交时间:2021/09/01 Landslide Machine learning Natural hazard Random forest Susceptibility |