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Participatory Approach for More Robust Water Resource Management: Case Study of the Santa Rosa Sub-Watershed of the Philippines 科技报告
来源:Institute for Global Environmental Strategies. 出版年: 2020
作者:  Kumar, Pankaj;  Johnson, Brian;  DASGUPTA, Rajarshi;  Avtar, Ram;  Chakraborty, Shamik;  Kawai, Masayuki;  Macandog, Damasa
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/06
“Using 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 Parameterizations” 科技报告
来源:US Department of Energy (DOE). 出版年: 2015
作者:  Woods, Sarah
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
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
收藏  |  浏览/下载:5/0  |  提交时间:2019/04/05
Atmospheric System Research  
Final Report – 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
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
收藏  |  浏览/下载:6/0  |  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.
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
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
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)]
收藏  |  浏览/下载:4/0  |  提交时间:2019/04/05
climate change  climate models  cirrus clouds