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Better forecasts, enhanced national security 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:14/0  |  提交时间:2022/01/14
HUP-BMA: An Integration of Hydrologic Uncertainty Processor and Bayesian Model Averaging for Streamflow Forecasting 期刊论文
Water Resources Research, 2021
作者:  Pedram Darbandsari;  Paulin Coulibaly
收藏  |  浏览/下载:2/0  |  提交时间:2021/10/07
Probabilistic tsunami forecasting for early warning 期刊论文
Nature Communications, 2021
作者:  Selva, J.;  Lorito, S.;  Volpe, M.;  Romano, F.;  Tonini, R.;  Perfetti, P.;  Bernardi, F.;  Taroni, M.;  Scala, A.;  Babeyko, A.;  ;  vholt, F.;  Gibbons, S. J.;  Mací;  as, J.;  Castro, M. J.;  Gonzá;  lez-Vida, J. M.;  ;  nchez-Linares, C.;  Bayraktar, H. B.;  Basili, R.;  Maesano, F. E.;  Tiberti, M. M.;  Mele, F.;  Piatanesi, A.;  Amato, A.
收藏  |  浏览/下载:7/0  |  提交时间:2021/10/07
人工智能工具有望显著提升北极海冰预测的精确度 快报文章
资源环境快报,2021年第17期
作者:  薛明媚
Microsoft Word(13Kb)  |  收藏  |  浏览/下载:698/0  |  提交时间:2021/09/20
Artificial Intelligence  Arctic Sea Ice  Deep Learning  
Seasonal Arctic sea ice forecasting with probabilistic deep learning 期刊论文
Nature Communications, 2021
作者:  Andersson, Tom R.;  Hosking, J. Scott;  ;  rez-Ortiz, Marí;  a;  Paige, Brooks;  Elliott, Andrew;  Russell, Chris;  Law, Stephen;  Jones, Daniel C.;  Wilkinson, Jeremy;  Phillips, Tony;  Byrne, James;  Tietsche, Steffen;  Sarojini, Beena Balan;  Blanchard-Wrigglesworth, Eduardo;  Aksenov, Yevgeny;  Downie, Rod;  Shuckburgh, Emily
收藏  |  浏览/下载:12/0  |  提交时间:2021/08/30
A neural network improves forecasts for severe storm hazards 新闻
来源平台:National Center of Atmospheric Research. 发布日期:2021
作者:  admin
收藏  |  浏览/下载:4/0  |  提交时间:2021/06/07
Probabilistic projections of multidimensional flood risks at a convection‐permitting scale 期刊论文
Water Resources Research, 2020
作者:  B. Zhang;  S. Wang;  Y. Wang
收藏  |  浏览/下载:6/0  |  提交时间:2020/12/22
£20 million boost for world class AI research could transform cancer treatment and save lives 新闻
来源平台:Department for Business, Energy & Industrial Strategy. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:1/0  |  提交时间:2020/11/30
Success in multi-point long-term observations of sea floor crustal movements using an unmanned surface vehicle-Major progress in developing a high-temporal-resolution understanding of the current state of Seismogenic zone - 新闻
来源平台:Japan Agency for Marine-Earth Science and Technology. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:3/0  |  提交时间:2020/10/12
Structural forecasting of species persistence under changing environments 期刊论文
Ecology Letters, 2020
作者:  Serguei Saavedra;  Lucas P. Medeiros;  Mohammad AlAdwani
收藏  |  浏览/下载:5/0  |  提交时间:2020/08/18