Evaluation Product : CMWG Data - SCM-Forcing Data, Cloud Microphysical Properties and Radiative Heating Profiles
Derived from the ARM Facility observational data, Single-Column Model (SCM) forcing data use the constrained variational analysis approach (Zhang and Lin 1997 and Zhang et al. 2001). The resulting products include both the large-scale forcing terms and the evaluation fields, which can be used for driving the SCMs and Cloud Resolving Models (CRMs) and validating model simulations. Results from our studies are then used to improve cloud parameterizations in Global Climate Models (GCMs).
The atmospheric profiles, cloud retrievals and heating rates of McFarlane's data are averaged to 1-hourly data and re-gridded vertically to match the time and vertical resolution of the SCM-forcing data.
Cloud microphysical properties derived from Mace's data of atmospheric thermodynamics, cloud properties, radiative fluxes and radiative heating rates are regridded to a 37 pressure level and 1-hourly format to match the time and vertical resolution of the SCM-forcing data.
The continuous baseline microphysical retrieval of Jensen's MICROBASE data are used to derive cloud microphysical properties data, which are then regridded to a 37 pressure level and 1-hourly format to match the time and vertical resolution of the SCM-forcing data.
Lawrence Livermore National Laboratory
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