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| âUsing Statistical Comparisons between SPartICus Cirrus Microphysical Measurements, Detailed Cloud Models, and GCM Cloud Parameterizations to Understand Physical Processes Controlling Cirrus Properties and to Improve the Cloud Parameterizationsâ 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Woods, Sarah
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |
| Unforced, Forced and Resonance-Forced Waves in a Spherical Atmosphere 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Covey, Curt
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05 |
| Retrieving 4-dimensional atmospheric boundary layer structure from surface observations and profiles over a single station 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Pu, Zhaoxia
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05 Atmospheric System Research |
| Final Report â Study of Shortwave Spectra in Fully 3D Environment. Synergy Between Scanning Radars and Spectral Radiation Measurements 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Chiu, Jui-Yuan
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:3/0  |  提交时间:2019/04/05 ARM cloud radar scanning cloud radar retrieval remote sensing surface radiation |
| Final Technical Report for DOE Award SC0006616 科技报告 来源:US Department of Energy (DOE). 出版年: 2015 作者: Robertson, Andrew
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05 Centennial proxy records Data-based closure models Empirical model reduction (EMR) Indus River discharge Low-frequency variability (LFV) Madden-Julian Oscillation (MJO) Palmer Drought Severity Index (PDSI) Singular-spectrum analysis (SSA) Stochast |
| Climate data, analysis and models for the study of natural variability and anthropogenic change 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Jones, Philip D.
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:1/0  |  提交时间:2019/04/05 climate data climate data analysis natural variability |
| Framework for Probabilistic Projections of Energy-Relevant Streamflow Indicators under Climate Change Scenarios for the U.S. 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Wagener, Thorsten; Mann, Michael; Crane, Robert
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |
| Understanding and Improving CRM and GCM Simulations of Cloud Systems with ARM Observations 科技报告 来源:US Department of Energy (DOE). 出版年: 2014 作者: Wu, Xiaoqing
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:0/0  |  提交时间:2019/04/05 |
| Final scientific report for DOE award title: Improving the Representation of Ice Sedimentation Rates in Global Climate Models 科技报告 来源:US Department of Energy (DOE). 出版年: 2013 作者: Mitchell, David L. [Desert Research Institute, Reno, NV (United States)]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05 climate change climate models cirrus clouds |
| Collaborative Research: Using ARM Observations to Evaluate GCM Cloud Statistics for Development of Stochastic Cloud-Radiation Parameterizations 科技报告 来源:US Department of Energy (DOE). 出版年: 2013 作者: Shen, Samuel S. P. [San Diego State Univ., CA (United States)]
![](/C666/themes/default/image/downing1.png) 收藏  |  浏览/下载:7/0  |  提交时间:2019/04/05 cloud statistics stochastic cloud-radiation parameterizations ARM data Bayesian method |