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Application of Monte Carlo Methods to Perform Uncertainty and Sensitivity Analysis on Inverse Water-Rock Reactions with NETPATH 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  McGraw, David;  Hershey, Ronald L.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Methods were developed to quantify uncertainty and sensitivity for NETPATH inverse water-rock reaction models and to calculate dissolved inorganic carbon  carbon-14 groundwater travel times. The NETPATH models calculate upgradient groundwater mixing fract  
Collaborative Project. 3D Radiative Transfer Parameterization Over Mountains/Snow for High-Resolution Climate Models. Fast physics and Applications 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Liou, Kuo-Nan
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05
Physics and dynamics coupling across scales in the next generation CESM: Meeting the challenge of high resolution. Final report 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Larson, Vincent E.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
First Principles Simulations fo the Supercritical Behavior of Ore Forming Fluids 科技报告
来源:US Department of Energy (DOE). 出版年: 2013
作者:  Weare, John H
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ions in solution  AIMD  Hydration shell structure  proton transfer  
Final Report: Detection and Characterization of Underground Facilities by Stochastic Inversion and Modeling of Data from the New Generation of Synthetic Aperture Satellites 科技报告
来源:US Department of Energy (DOE). 出版年: 2012
作者:  Foxall, W;  Cunningham, C;  Mellors, R;  Templeton, D;  Dyer, K;  White, J
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Radius of influence for a cosmic-ray soil moisture probe : theory and Monte Carlo simulations. 科技报告
来源:US Department of Energy (DOE). 出版年: 2011
作者:  David B. Frederick
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Progress Report, December 2010: Improved Site Characterization And Storage Prediction Through Stochastic Inversion Of Time-Lapse Geophysical And Geochemical Data 科技报告
来源:US Department of Energy (DOE). 出版年: 2010
作者:  Ramirez, A;  Mcnab, W;  Carle, S;  Hao, Y;  White, D;  Johnson, J
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/05
iTOUGH2 Universal Optimization Using the PEST Protocol 科技报告
来源:US Department of Energy (DOE). 出版年: 2010
作者:  Finsterle, S.A.
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/05