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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:4/0  |  提交时间:2019/04/05
SPRUCE experiment  phenology  models  
DOE Final Report on Collaborative Research. Quantifying Climate Feedbacks of the Terrestrial Biosphere under Thawing Permafrost Conditions in the Arctic 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Zhuang, Qianlai;  Schlosser, C. Adam;  Melillo, Jerry M.;  Anthony, Katey Walter;  Kicklighter, David;  Gao, Xiang
收藏  |  浏览/下载:8/0  |  提交时间:2019/04/05
Permafrost  climate  methane  carbon  earth system model  biogeochemistry  
Laboratory Experiments and Instrument Intercomparison Studies of Carbonaceous Aerosol Particles 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Davidovits, Paul
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Collaborative Research. Quantifying Climate Feedbacks of the Terrestrial Biosphere under Thawing Permafrost Conditions in the Arctic 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Zhuang, Qianlai;  Schlosser, Courtney;  Melillo, Jerry;  Walter, Katey
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05
Permafrost  Climate Warming  Feedback  
Pacific Decadal Variability and Central Pacific Warming El NiĂąo in a Changing Climate 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Di Lorenzo, Emanuele
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
climate variability, climate change  
Final Technical Report to DOE for the Award DE-SC0004601 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Zhou, Jizhong
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05
climate change  below ground microbial communities  climate warming  soil carbon decomposition  
The Mechanisms of Natural Variability and its Interaction with Anthropogenic Climate Change Final Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Vallis, Geoffrey K.
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Anthropogenic Climate Change, Natural Variability, Climate Sensitivity,  
Improved atmosphere-ocean coupled modeling in the tropics for climate prediction 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Zhang, Minghua
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05
Climate models  double ITCZ