Citation URL: http://www.osti.gov/geothermal/product.biblio.jsp?osti_id=1091953
||COLLABORATIVE RESEARCH:USING ARM OBSERVATIONS & ADVANCED STATISTICAL TECHNIQUES TO EVALUATE CAM3 CLOUDS FOR DEVELOPMENT OF STOCHASTIC CLOUD-RADIATION|
|Publication Date:||2013 Aug 22|
|OSTI Identifier:||OSTI 1091953|
|Report Number(s):||Final Report|
|DOE Contract Number:||SC0000658|
|Document Type:||Technical Report|
|Research Org:||The Regents of the University of California / Scripps Institution of Oceanography|
|Subject:||15 GEOTHERMAL ENERGY|
|Keywords:||cloud, radiation, statistical, ARM, observations|
|Description/Abstract:||The long-range goal of several past and current projects in our DOE-supported research has been the development of new and improved parameterizations of cloud-radiation effects and related processes, using ARM data, and the implementation and testing of these parameterizations in global models. The main objective of the present project being reported on here has been to develop and apply advanced statistical techniques, including Bayesian posterior estimates, to diagnose and evaluate features of both observed and simulated clouds.
The research carried out under this project has been novel in two important ways. The first is that it is a key step in the development of practical stochastic cloud-radiation parameterizations, a new category of parameterizations that offers great promise for overcoming many shortcomings of conventional schemes. The second is that this work has brought powerful new tools to bear on the problem, because it has been a collaboration between a meteorologist with long experience in ARM research (Somerville) and a mathematician who is an expert on a class of advanced statistical techniques that are well-suited for diagnosing model cloud simulations using ARM observations (Shen).|
|Country of Publication:||US|
|System Entry Date:||2013 Oct 03|
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