Show simple item record

contributor authorRandall, David
contributor authorKrueger, Steven
contributor authorBretherton, Christopher
contributor authorCurry, Judith
contributor authorDuynkerke, Peter
contributor authorMoncrieff, Mitchell
contributor authorRyan, Brian
contributor authorStarr, David
contributor authorMiller, Martin
contributor authorRossow, William
contributor authorTselioudis, George
contributor authorWielicki, Bruce
date accessioned2017-06-09T16:42:15Z
date available2017-06-09T16:42:15Z
date copyright2003/04/01
date issued2003
identifier issn0003-0007
identifier otherams-72590.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4214609
description abstractThe Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) was organized to promote the development of improved parameterizations of cloud systems for use in climate and numerical weather prediction models, with an emphasis on the climate applications. GCSS uses models to analyze and understand observations of the behavior of cloud systems. Cloud-system-resolving models (CSRMs) have sufficient spatial and temporal resolution to represent individual cloud elements, but cover a wide enough range of time and space scales to permit statistical analysis of simulated cloud systems. Results from CSRMs are compared with detailed observations, representing specific cases based on field experiments, and also with statistical composites obtained from satellite and meteorological analyses. Single-column models (SCMs) are the column physics components of atmospheric general circulation models (GCMs). SCMs are used to test cloud parameterizations in an uncoupled mode, by comparison with field data and statistical composites. In the original GCSS strategy, data are collected in various field programs and provided to the CSRM community, which first uses the data to ?certify? the CSRMs as reliable tools for the simulation of particular cloud regimes, and then uses the CSRMs to develop parameterizations, which are provided to the GCM community. Results of a rethinking of the scientific strategy of GCSS, which takes into account the practical issues that arise in confronting models with data, are reported on herein. The main elements of the proposed new strategy are a more active role for the large-scale modeling community, an explicit recognition of the importance of data integration, and an increasing use of observed cloud-scale statistics for model evaluations.
publisherAmerican Meteorological Society
titleConfronting Models with Data: The GEWEX Cloud Systems Study
typeJournal Paper
journal volume84
journal issue4
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-84-4-455
journal fristpage455
journal lastpage469
treeBulletin of the American Meteorological Society:;2003:;volume( 084 ):;issue: 004
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record