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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 â 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 |