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CCPP Scientific Documentation
v5.0.0
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CCPP Scientific Documentation
v5.0.0
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In the CCPP, each parameterization is in its own modern Fortran module (i.e., CCPP-compliant; see rules for scheme to considered CCPP-compliant at CCPP-Compliant Physics Parameterizations ), which facilitates model development and code maintenance. Additionally, we are listing any pre- and post- interstitials that must accompany the scheme. While some individual parameterization can be invoked for the SCM, most host models will assemble the parameterizations in suites.
Radiation
PBL and Turbulence
Land Surface Model
Cumulus Parameterizations
Microphysics
Ozone Photochemical Production and Loss
Water Vapor Photochemical Production and Loss
Gravity Wave Drag
Surface Layer
Simplified Ocean and Sea Ice Representation
Others
The input information for the parameterizations includes the values of the gridbox mean prognostic variables (wind components, temperature, specific humidity, cloud fraction, water contents for cloud liquid, cloud ice, rain, snow, graupel, and ozone concentration), the provisional dynamical tendencies for the same variables and various surface fields, both fixed and variable.
The time integration of the physics suites is based on the following:
do_sat_adj=.true.), it is invoked at shorter timesteps along with the dynamical solver.There are two publicly supported host models that use CCPP v5: the UFS Weather Model used in the Short Range Weather Application (SRW App) and the CCPP Single Column Model (SCM). The SRW App supports the use of suites GFS_v15p2 and RRFS_v1alpha, while the SCM supports the use of suites GFS_v15p2, GFS_v16beta, RRFS_v1alpha, csawmg and GSD_v1. Suite GFS_v15p2 is an operational suite that invokes the parameterizations used in the GFS v15 implemented operationally in June 2019. Other suites are experimental, and targeted for future UFS operational implementations. It should be noted that suite RRFS_v1alpha does not include a convective parameterization scheme and is targeted for convective-allowing resolutions of 3-km grid spacing. The other suites are primarily targeted for medium-range weather and subseasonal-to-seasonal scales of grid spacing 13-km and coarser. The forcing datasets included in the CCPP SCM v5.0 public release were created by averaging observations and large-eddy simulations over seas that are too coarse to resolve convection. Therefore, best results will be obtained with be obtained with the CCPP SCM v5.0 when using suites that include parameterized convection.
Table 1. Physics suite options included in this documentation.
1.8.11