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| W14_CONTAMINANTREMEDIATION: High Performance Computing (HPC) for Multi-scale Decision Analyses: From Pore-scale Processes to Field-scale Contaminant Remediation 科技报告 来源:US Department of Energy (DOE). 出版年: 2016 作者: Vesselinov, Velimir Valentinov; O'Malley, Daniel; Alexandrov, Boian
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05 Computer Science Earth Sciences Mathematics |
| An advanced joint inversion system for CO2 storage modeling with large date sets for characterization and real-time monitoring-enhancing storage performance and reducing failure risks under uncertainties 科技报告 来源:US Department of Energy (DOE). 出版年: 2016 作者: Kitanidis, Peter
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05 |
| Development of hybrid 3-D hydrological modeling for the NCAR Community Earth System Model (CESM) 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Zeng, Xubin; Troch, Peter; Pelletier, Jon; Niu, Guo-Yue; Gochis, David
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05 hydrological modeling earth system modeling global land surface datasets high-performance computing |
| Introducing Enabling Computational Tools to the Climate Sciences: Multi-Resolution Climate Modeling with Adaptive Cubed-Sphere Grids 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Jablonowski, Christiane
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05 Adaptive Mesh Refinement (AMR) Chombo Community Atmosphere Model (CAM) refinement criterion variable-resolution climate modeling high-order finite-volume methods non-hydrostatic atmospheric dynamical core shallow water cubed-sphere grid tropical |
| Evolving the Land Information System into a Cloud Computing Service 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Houser, Paul R.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 Land Water Information Observation Modeling Cloud |
| GEOS. User Tutorials 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Fu, Pengchen; Settgast, Randolph R.; Johnson, Scott M.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |
| Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Williams, Dean N.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |
| Maximization of permanent trapping of CO{sub 2} and co-contaminants in the highest-porosity formations of the Rock Springs Uplift (Southwest Wyoming): experimentation and multi-scale modeling 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Piri, Mohammad
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:2/0  |  提交时间:2019/04/05 |
| Biological and Environmental Research Network Requirements 科技报告 来源:US Department of Energy (DOE). 出版年: 2013 作者: Balaji, V. [Princeton Univ., NJ (United States). Earth Science Grid Federation (ESGF)]; Boden, Tom [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)]; Cowley, Dave [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)]; Dart,
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:11/0  |  提交时间:2019/04/05 Network requirements high-performance networks high-performance computing data-intensive science ESnet climate science CMIP5 KBase Globus Online |
| High-performance computing for model-driven decision support related to the LANL Chromium Site 科技报告 来源:US Department of Energy (DOE). 出版年: 2013 作者: Vesselinov, Velimir V. [Los Alamos National Laboratory]; Katzman, Danny [Los Alamos National Laboratory]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |