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Final Technical Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Held, Isaac;  V. Balaji;  Fueglistaler, Stephan
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/05
Atmospheric Models  tropical convection  
Climate Modeling: Ocean Cavities below Ice Shelves 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Petersen, Mark Roger
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Earth Sciences  
Processing and Monthly Summaries of Downscaled Climate Data for Knoxville, Tennessee and Surrounding Region 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Sylvester, Linda;  Omitaomu, Olufemi A.;  Parish, Esther S.;  Allen, Melissa
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Moving Toward an Optimal and Automated Geospatial Network for CCUS Infrastructure 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Hoover, Brendan Arthur
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
Earth Sciences  
An Evaluation of Subsurface Microbial Activity Conditional to Subsurface Temperature, Porosity, and Permeability at North American Carbon Sequestration Sites 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Wilson, B.;  Mordensky, S.;  Verba, Circe;  Rabjohns, K.;  Colwell, F.
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
Climate Change Feedbacks from Interactions Between New and Old Carbon 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Dukes, Jeffrey S. (ORCID:0000000194827743);  Phillips, Richard P.
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Extreme Weather Events and Climate Change Attribution 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Thomas, Katherine
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05
weather  climate  attribution  
Land-total and Ocean-total Precipitation and Evaporation from a Community Atmosphere Model version 5 Perturbed Parameter Ensemble 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Covey, Curt;  Lucas, Donald D.;  Trenberth, Kevin E.
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Marine Ice Nuclei Collections – MAGIC (MAGIC-IN) Final Campaign Summary 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  DeMott, Paul J.;  Hill, Thomas C. J.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Improving models to predict phenological responses to global change 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Richardson, Andrew D.
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
SPRUCE experiment  phenology  models