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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:6/0  |  提交时间:2019/04/05
Collaborative Project: The problem of bias in defining uncertainty in computationally enabled strategies for data-driven climate model development. Final Technical Report. 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Huerta, Gabriel
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
ARM-ACME V: ARM Airborne Carbon Measurements V on the North Slope of Alaska Field Campaign Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Biraud, Sebastien C
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/05
Arctic  greenhouse gases  carbon decomposition  aerosols  carbon cycle  permafrost  
Observations and Modeling of the Green Ocean Amazon 2014/15. CHUVA Field Campaign Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Machado, L. A. T.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Geoscience Australia Continuous Global Positioning System (CGPS) Station Field Campaign Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Ruddick, R.;  Twilley, B.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Genes, isotopes, and ecosystem biogeochemistry. Dissecting methane flux at the leading edge of global change 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Saleska, Scott;  Rich, Virginia;  Tyson, Gene;  Chanton, Jeff;  Crill, Patrick;  Li, Changshen
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Metagenomics  methane  permafrost  isotopes  
Changes in Intense Precipitation Events in West Africa and the central U.S. under Global Warming 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Cook, Kerry H.;  Vizy, Edward
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05
The Global Climate in 2011?2015 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2016
作者:  World Meteorological Organization
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
Climate monitoring  Extreme weather event  - International  
The Global Climate in 2011–2015 科技报告
来源:World Meteorological Organization (WMO). 出版年: 2016
作者:  World Meteorological Organization
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
Climate monitoring  Extreme weather event  - International  
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