An intercomparison of cloud‐resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data

By Kuan Xu, R. Cederwall, Leo Donner, Wojciech W. Grabowski, F. Guichard, Daniel E. Johnson, M. Khairoutdinov, S. Krueger, J. Petch, David A. Randall and 6 more. 2002

208 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/13697349af1144daf9bad914e3bcf73948d51677

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Citations in the corpus

Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, unknown): “A multimodel intercomparison has proven useful to identify strengths and weaknesses of model parameterizations by comparing results among different models and with observations [e.g., Ghan et al. , 2000; Xie et al. , 2002; Xu et al. , 2002].”
Sensitivity of moist convection to environmental humidity (2004, methodology): “The CRMs represented here have been tested against a range of observational case studies (e.g. Xu et al. 2002) and such comparisons form an important part of the EUROCS project.”
Simulations of the Atmospheric General Circulation Using a Cloud-Resolving Model as a Superparameterization of Physical Processes (2005, methodology): “The CRMs have also been used in a similar manner (e.g., Xu and Randall 1996; Grabowski et al. 1998; Xu et al. 2002; Khairoutdinov and Randall 2003).”
An observationally based evaluation of cloud ice water in CMIP3 and CMIP5 GCMs and contemporary reanalyses using contemporary satellite data (2012, background): “Unlike that in a single column model intercomparison [e.g., Ghan et al., 2000; Xie et al., 2002, 2005; Xu et al., 2002, 2005; Klein et al., 2009; Morrison et al., 2009] which is conducted with the same large-scale conditions and forcing for each model, an undertaking to elicit the reason for the…”
Confronting Models with Data: The Gewex Cloud Systems Study (2003, unknown): “WG4 has conducted extensive studies based on the ), and more recently on ARM data (Xu et al. 2002; Xie et al. 2002).”