Microphysics, Radiation and Surface Processes in the Goddard Cumulus Ensemble (GCE) Model
By Wei-Kuo Tao, J. Simpson, D. Baker, Scott A. Braun, M. Chou, B. Ferrier, Daniel E. Johnson, Alexander Khain, S. Lang, Barry H. Lynn and 5 more. 2003
361 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/68e1eed1b1348b5f0b876f474ceea61eb2c44fdd
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In Atmospheric Science
- Hugh Morrison
- Xiaohong Liu
- A. Seifert
- Minghuai Wang
- Steven Ghan
- Klaus D. Beheng
- R. Easter
- Andrew Gettelman
In Global and Planetary Change
- Hugh Morrison
- Xiaohong Liu
- A. Seifert
- Minghuai Wang
- Steven Ghan
- Klaus D. Beheng
- R. Easter
- Andrew Gettelman
Citations in the corpus
- Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF (2011, methodology): “For example, the CRM component in the NASA fvMMF employs a single-moment bulk microphysics scheme (Tao et al., 2003), while the two-moment microphysics scheme is used in the PNNL MMF (Sect.”
- Spectral Retrieval of Latent Heating Profiles from TRMM PR Data. Part IV: Comparisons of Lookup Tables from Two- and Three-Dimensional Cloud-Resolving Model Simulations (2009, neutral): “Tao et al. (2003b, 2004) reported that net radiation (cooling) accounts for about 20% or more of the net condensation for the SCSMEX cloud systems simulated by the GCE model.”
- Land information system: An interoperable framework for high resolution land surface modeling (2006, methodology): “LIS and GCE interact through two custom defined couplers (LIS2GCE and GCE2LIS) that perform the mapping between ESMF states exchanged between the two components.”
- Spectral (Bin) microphysics coupled with a Mesoscale Model (MM5). Part I: Model description and first results (2005, neutral): “Currently, the most advanced bulk-microphysics options in MM5 consist of those labeled in MM5 as ‘‘GSFC’’ (Goddard Space Flight Center) (Tao et al. 2003), ‘‘Reisner2’’ (Reisner et al. 1998), and ‘‘Schultz’’ (Schultz 1995).”
- A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description (2006, result): “In some case studies these two-moment schemes have shown a better modeling and forecast skill compared with the one-moment Lin-type schemes (cf. Tao et al, 2003 ).”