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Title: The ARM Cloud Radar Simulator for Global Climate Models: A New Tool for Bridging Field Data and Climate Models

Clouds play an important role in Earth’s radiation budget and hydrological cycle. However, current global climate models (GCMs) have difficulties in accurately simulating clouds and precipitation. To improve the representation of clouds in climate models, it is crucial to identify where simulated clouds differ from real world observations of them. This can be difficult, since significant differences exist between how a climate model represents clouds and what instruments observe, both in terms of spatial scale and the properties of the hydrometeors which are either modeled or observed. To address these issues and minimize impacts of instrument limitations, the concept of instrument “simulators”, which convert model variables into pseudo-instrument observations, has evolved with the goal to facilitate and to improve the comparison of modeled clouds with observations. Many simulators have been (and continue to be) developed for a variety of instruments and purposes. Finally, a community satellite simulator package, the Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package (COSP; Bodas-Salcedo et al. 2011), contains several independent satellite simulators and is being widely used in the global climate modeling community to exploit satellite observations for model cloud evaluation (e.g., Kay et al. 2012; Klein et al. 2013; Suzuki et al. 2013;more » Zhang et al. 2010).« less
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  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. Univ. of Washington, Seattle, WA (United States)
  3. Stony Brook Univ., NY (United States)
  4. Pennsylvania State Univ., University Park, PA (United States)
  5. Brookhaven National Lab. (BNL), Upton, NY (United States)
  6. Univ. of Colorado, Boulder, CO (United States). Cooperative Inst. for Research in Environmental Sciences (CIRES); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  7. Met Office Hadley Centre for Climate Science and Services, Exeter (United Kingdom)
  8. Colorado State Univ., Fort Collins, CO (United States). Cooperative Inst. for Research in the Atmosphere
  9. Argonne National Lab. (ANL), Argonne, IL (United States)
  10. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
Report Number(s):
BNL-114163-2017-JA; LLNL-JRNL-719861
Journal ID: ISSN 0003-0007; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
Grant/Contract Number:
SC0012704; AC52-07NA27344; 312979; AC02-06CH11357
Accepted Manuscript
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 99; Journal Issue: 1; Journal ID: ISSN 0003-0007
American Meteorological Society
Research Org:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Argonne National Lab. (ANL), Argonne, IL (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
OSTI Identifier:
Alternate Identifier(s):
OSTI ID: 1422585; OSTI ID: 1438806