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COSP: Satellite simulation software for model assessment
Open accessAbstract
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 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. In this article we describe COSP, present some results from its application to numerical models, and discuss future work that will expand its capabilities.
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Hourdin, F., Musat, I., Bony, S., Braconnot, P., Codron, F., Dufresne, J.-L., Fairhead, L., Filiberti, M.-A., Friedlingstein, P., Grandpeix, J.-Y., et al. (2006) · Climate Dynamics · doi:10.1007/s00382-006-0158-0 · Cited by 844
Self-citationDreary state of precipitation in global models
Stephens, G. L., L'Ecuyer, T., Forbes, R., Gettelmen, A., Golaz, J., Bodas‐Salcedo, A., Suzuki, K., Gabriel, P., & Haynes, J. (2010) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2010jd014532 · Cited by 809
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Cited by
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Atmospheric component of the MPI‐M Earth System Model: ECHAM6
Stevens, B., Giorgetta, M., Esch, M., Mauritsen, T., Crueger, T., Rast, S., Salzmann, M., Schmidt, H., Bader, J., Block, K., et al. (2013) · Journal of Advances in Modeling Earth Systems · doi:10.1002/jame.20015 · Cited by 1,379
Self-citationTaking climate model evaluation to the next level
Eyring, V., Cox, P. M., Flato, G. M., Gleckler, P. J., Abramowitz, G., Caldwell, P., Collins, W. D., Gier, B. K., Hall, A. D., Hoffman, F. M., et al. (2019) · Nature Climate Change · doi:10.1038/s41558-018-0355-y · Cited by 748
Self-citationThe ‘too few, too bright’ tropical low-cloud problem in CMIP5 models.
Nam, C., Bony, S., Dufresne, J. ‐., & Chepfer, H. (2012) · Geophysical Research Letters · doi:10.1029/2012gl053421 · Cited by 375
Self-citationPincus, R., Platnick, S., Ackerman, S. A., Hemler, R. S., & Patrick Hofmann, R. J. (2012) · Journal of Climate · doi:10.1175/jcli-d-11-00267.1 · Cited by 342
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Metadata
- Authors
- 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.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2011-08-01
- Volume
- 92
- Issue
- 8
- Pages
- 1023-1043
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2064960533
- Cited by
- 701
- References
- 2
- FWCI
- 22.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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- 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. (2011). COSP: Satellite simulation software for model assessment. Bulletin of the American Meteorological Society. https://doi.org/10.1175/2011bams2856.1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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