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日本进行最大规模的集合天气预报资料同化 快报文章
地球科学快报,2015年第23期
作者:  刘燕飞
Microsoft Word(41Kb)  |  收藏  |  浏览/下载:2/0  |  提交时间:2019/11/26
NCAR Contribution to A U.S. National Multi-Model Ensemble (NMME) ISI Prediction System 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Tribbia, Joseph
收藏  |  浏览/下载:2/0  |  提交时间:2019/04/05
Multi-Model  CESM  NCAR  
Report on activities and findings under DOE grant “Collaborative research. An Interactive Multi-Model for Consensus on Climate Change” 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Duane, Gregory S.;  Tsonis, Anastasios;  Kocarev, Ljupco;  Tribbia, Joseph
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
supermodeling  multi-model  synchronization  
Reliable, robust and realistic: the three R's of next-generation land-surface modelling 期刊论文
Atmospheric Chemistry and Physics, 2015
作者:  I. C. Prentice, X. Liang, B. E. Medlyn, and Y.-P. Wang
收藏  |  浏览/下载:2/0  |  提交时间:2020/08/18
The Role of Scale and Model Bias in ADAPT's Photospheric Eatimation 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Godinez Vazquez, Humberto C.;  Hickmann, Kyle Scott;  Arge, Charles Nicholas;  Henney, Carl
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Heliospheric and Magnetospheric Physics  Mathematics  Solar Photosphere, Data Assimilation  
Parameter Estimation and Model Validation of Nonlinear Dynamical Networks 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Abarbanel, Henry;  Gill, Philip
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Data assimilation  numerical weather prediction  geosciences  neurobiology of functional circuits  
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.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Land  Water  Information  Observation  Modeling  Cloud  
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,