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Deployment of ARM Aerial Facility (AAF) Scanning Mobility Particle Sizer Field Campaign Report 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Wang, J.
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
Advancing cloud lifecycle representation in numerical models using innovative analysis methods that bridge arm observations over a breadth of scales 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Tselioudis, George
收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05
CLOUDS. RADIATION. MODELING.  
Stable Boundary Layer Education (STABLE) Final Campaign Summary 科技报告
来源:US Department of Energy (DOE). 出版年: 2016
作者:  Turner, David D.
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
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  
Quantifying the uncertainties of aerosol indirect effects and impacts on decadal-scale climate variability in NCAR CAM5 and CESM1 科技报告
来源:US Department of Energy (DOE). 出版年: 2014
作者:  Park, Sungsu
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
CESM1  CAM5 aerosol indirect effects  
Parameterizations of Cloud Microphysics and Indirect Aerosol Effects 科技报告
来源:US Department of Energy (DOE). 出版年: 2014
作者:  Tao, Wei-Kuo
收藏  |  浏览/下载:6/0  |  提交时间:2019/04/05
Atmosphere  Cloud  Aerosol  
Radiative Energy Balance in the Tropical Tropopause Layer: An Investigation with ARM Data 科技报告
来源:US Department of Energy (DOE). 出版年: 2013
作者:  Fu, Qiang
收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05
Development of an Atmospheric Climate Model with Self-Adapting Grid and Physics 科技报告
来源:US Department of Energy (DOE). 出版年: 2013
作者:  Penner, Joyce E. [University of Michigan]
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
climate model  non-hydrostatic dynamical core  adaptive grid  
Transforming the representation of the boundary layer and low clouds for high-resolution regional climate modeling: Final report 科技报告
来源:US Department of Energy (DOE). 出版年: 2013
作者:  Huang, Hsin-Yuan;  Hall, Alex
收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05
Cloud Droplet Number Closure Study Based on ISDAC Observational Data 科技报告
来源:US Department of Energy (DOE). 出版年: 2012
作者:  Liu, P S K;  Ghan, S;  Strapp, J W;  Leaitch, W R;  Macdonald, A M;  Ovchinnikov, M;  Collins, D;  Zelenyuk, A;  Gong, W
收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05
Cloud droplet  closure study  ISDAC  SPLAT  Adiabatic parcel model  Large Eddy simulation  updraft velocity