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Title: COSP: Satellite simulation software for model assessment

Abstract

Errors in the simulation of clouds in general circulation models (GCMs) remain a long-standing issue in climate projections, as discussed in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report. This highlights the need for developing new analysis techniques to improve our knowledge of the physical processes at the root of these errors. The Cloud Feedback Model Intercomparison Project (CFMIP) pursues this objective, and under that framework the CFMIP Observation Simulator Package (COSP) has been developed. COSP is a flexible software tool that enables the simulation of several satellite-borne active and passive sensor observations from model variables. The flexibility of COSP and a common interface for all sensors facilitates its use in any type of numerical model, from high-resolution cloud-resolving models to the coarser-resolution GCMs assessed by the IPCC, and the scales in between used in weather forecast and regional models. The diversity of model parameterization techniques makes the comparison between model and observations difficult, as some parameterized variables (e.g., cloud fraction) do not have the same meaning in all models. The approach followed in COSP permits models to be evaluated against observations and compared against each other in a more consistent manner. This thus permits a more detailedmore » diagnosis of the physical processes that govern the behavior of clouds and precipitation in numerical models. The World Climate Research Programme (WCRP) Working Group on Coupled Modelling has recommended the use of COSP in a subset of climate experiments that will be assessed by the next IPCC report. Here we describe COSP, present some results from its application to numerical models, and discuss future work that will expand its capabilities.« less

Authors:
 [1];  [1];  [2];  [2];  [2];  [3];  [3];  [4];  [5];  [6];  [1]
  1. Met Office Hadley Centre, Exeter (United Kingdom)
  2. Pierre and Marie Curie Univ., Paris (France). National Center for Scientific Research
  3. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Program for Climate Model Diagnosis and Intercomparison
  4. Univ. of Washingo. Joint Inst. for the Study of Atmosphere and Ocean
  5. Monash Univ., Melbourne, VIC (Australia). School of Mathematical Sciences
  6. Univ. of Colorado and National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1377781
Report Number(s):
LLNL-JRNL-459955
Journal ID: ISSN 0003-0007
Grant/Contract Number:  
AC52-07NA27344
Resource Type:
Accepted Manuscript
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 92; Journal Issue: 8; Journal ID: ISSN 0003-0007
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES

Citation Formats

Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J. -L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O. COSP: Satellite simulation software for model assessment. United States: N. p., 2011. Web. doi:10.1175/2011BAMS2856.1.
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J. -L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., & John, V. O. COSP: Satellite simulation software for model assessment. United States. https://doi.org/10.1175/2011BAMS2856.1
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J. -L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O. Mon . "COSP: Satellite simulation software for model assessment". United States. https://doi.org/10.1175/2011BAMS2856.1. https://www.osti.gov/servlets/purl/1377781.
@article{osti_1377781,
title = {COSP: Satellite simulation software for model assessment},
author = {Bodas-Salcedo, A. and Webb, M. J. and Bony, S. and Chepfer, H. and Dufresne, J. -L. and Klein, S. A. and Zhang, Y. and Marchand, R. and Haynes, J. M. and Pincus, R. and John, V. O.},
abstractNote = {Errors in the simulation of clouds in general circulation models (GCMs) remain a long-standing issue in climate projections, as discussed in the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report. This highlights the need for developing new analysis techniques to improve our knowledge of the physical processes at the root of these errors. The Cloud Feedback Model Intercomparison Project (CFMIP) pursues this objective, and under that framework the CFMIP Observation Simulator Package (COSP) has been developed. COSP is a flexible software tool that enables the simulation of several satellite-borne active and passive sensor observations from model variables. The flexibility of COSP and a common interface for all sensors facilitates its use in any type of numerical model, from high-resolution cloud-resolving models to the coarser-resolution GCMs assessed by the IPCC, and the scales in between used in weather forecast and regional models. The diversity of model parameterization techniques makes the comparison between model and observations difficult, as some parameterized variables (e.g., cloud fraction) do not have the same meaning in all models. The approach followed in COSP permits models to be evaluated against observations and compared against each other in a more consistent manner. This thus permits a more detailed diagnosis of the physical processes that govern the behavior of clouds and precipitation in numerical models. The World Climate Research Programme (WCRP) Working Group on Coupled Modelling has recommended the use of COSP in a subset of climate experiments that will be assessed by the next IPCC report. Here we describe COSP, present some results from its application to numerical models, and discuss future work that will expand its capabilities.},
doi = {10.1175/2011BAMS2856.1},
journal = {Bulletin of the American Meteorological Society},
number = 8,
volume = 92,
place = {United States},
year = {Mon Aug 01 00:00:00 EDT 2011},
month = {Mon Aug 01 00:00:00 EDT 2011}
}

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