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A physics-based method that can predict imminent large solar flares 期刊论文
Science, 2020
作者:  Kanya Kusano;  Tomoya Iju;  Yumi Bamba;  Satoshi Inoue
收藏  |  浏览/下载：1/0  |  提交时间：2020/08/09
Can we predict solar flares? 期刊论文
Science, 2020
作者:  Astrid M. Veronig
收藏  |  浏览/下载：0/0  |  提交时间：2020/08/09
Unravelling effects of the pore‐size correlation length on the two‐phase flow and solute transport properties; GPU‐based pore‐network modelling 期刊论文
Water Resources Research, 2020
作者:  Senyou An;  Sharul Hasan;  Hamidreza Erfani;  Masoud Babaei;  Vahid Niasar
收藏  |  浏览/下载：1/0  |  提交时间：2020/06/29
Imperial and France’s CNRS expand partnership with joint PhDs and data projects 新闻
来源平台：Imperial College London. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：1/0  |  提交时间：2020/06/16
New Technologies Reducing Uncertainty in Estimation of River Flow 新闻
来源平台：Environmental Monitor. 发布日期：2019
作者:  admin
收藏  |  浏览/下载：0/0  |  提交时间：2019/09/19
Strategies to Improve and Evaluate Physics-Based Hyperresolution Hydrologic Simulations at Regional Basin Scales 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 1129-1152
作者:  Ko, Ara;  Mascaro, Giuseppe;  Vivoni, Enrique R.
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26
Hyperresolution hydrologic modeling  Land surface temperature  Analysis of spatial patterns  
Scientists reveal the mechanism between the tide and climate:Does the Moon’s gravity affect global warming on Earth? 新闻
来源平台：Japan Agency for Marine-Earth Science and Technology. 发布日期：2018
作者:  admin
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/16
Cosmic-ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (9) : 6441-6459
作者:  Schroen, M.;  Rosolem, R.;  Koehli, M.;  Piussi, L.;  Schroeter, I.;  Iwema, J.;  Koegler, S.;  Oswald, S. E.;  Wollschlaeger, U.;  Samaniego, L.;  Dietrich, P.;  Zacharias, S.
收藏  |  浏览/下载：14/0  |  提交时间：2019/04/09
road effect  field-scale  soil moisture  cosmic ray neutrons  mobile survey  COSMOS rover  
Development of Probabilistic Dam Breach Model Using Bayesian Inference 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (7) : 4376-4400
作者:  Peter, S. J.;  Siviglia, A.;  Nagel, J.;  Marelli, S.;  Boes, R. M.;  Vetsch, D.;  Sudret, B.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
dam breach modeling  probabilistic calibration  Bayesian update  Markov chain Monte Carlo  
Improving probabilistic prediction of daily streamflow by identifying Pareto optimal approaches for modeling heteroscedastic residual errors 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (3)
作者:  McInerney, David;  Thyer, Mark;  Kavetski, Dmitri;  Lerat, Julien;  Kuczera, George
收藏  |  浏览/下载：14/0  |  提交时间：2019/04/09
probabilistic prediction  hydrological models  residual errors  heteroscedasticity  Pareto optimality  Box-Cox transformation