Publication Abstracts
Randall et al. 2003
Randall, D., S. Krueger, C. Bretherton, J. Curry, Duynkerke, M. Moncireff, B. Ryan, D. Starr, M. Miller,
, , and B. Wielicki, 2003: Confronting models with data: The GEWEX Cloud Systems Study. Bull. Amer. Meteorol. Soc., 84, 455-469, doi:10.1175/BAMS-84-4-455.The 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.
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BibTeX Citation
@article{ra09200l, author={Randall, D. and Krueger, S. and Bretherton, C. and Curry, J. and Duynkerke and Moncireff, M. and Ryan, B. and Starr, D. and Miller, M. and Rossow, W. and Tselioudis, G. and Wielicki, B.}, title={Confronting models with data: The GEWEX Cloud Systems Study}, year={2003}, journal={Bulletin of the American Meteorological Society}, volume={84}, pages={455--469}, doi={10.1175/BAMS-84-4-455}, }
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RIS Citation
TY - JOUR ID - ra09200l AU - Randall, D. AU - Krueger, S. AU - Bretherton, C. AU - Curry, J. AU - Duynkerke AU - Moncireff, M. AU - Ryan, B. AU - Starr, D. AU - Miller, M. AU - Rossow, W. AU - Tselioudis, G. AU - Wielicki, B. PY - 2003 TI - Confronting models with data: The GEWEX Cloud Systems Study JA - Bull. Amer. Meteorol. Soc. JO - Bulletin of the American Meteorological Society VL - 84 SP - 455 EP - 469 DO - 10.1175/BAMS-84-4-455 ER -
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