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COSP: Satellite simulation software for model assessment

Bulletin of the American Meteorological Society · 2011 · Vol. 92(8) · pp. 1023–1043
Alejandro Bodas‐SalcedoMark J. WebbSandrine BonyHélène ChepferJean‐Louis DufresneStephen A. KleinY. ZhangRoger MarchandJohn M. HaynesRobert PincusViju O. John

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 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.

Atmospheric aerosols and cloudsMeteorological Phenomena and SimulationsAtmospheric chemistry and aerosolsClimate modelFlexibility (engineering)Computer scienceCloud computingSatelliteEnvironmental scienceClimate changeMeteorologyClimatologyAerospace engineering

Funding

  • U.S. Department of Energy
  • National Aeronautics and Space Administration
  • San Diego Supercomputer Center
  • Sight Research UK
  • Met Office
  • Office of Science
  • Jet Propulsion Laboratory
  • Goddard Space Flight Center
  • Langley Research Center
  • Natural Environment Research Council
  • Lawrence Livermore National Laboratory
  • Pacific Northwest National Laboratory
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