Welcome to the scientific documentation for the parameterizations available in the Common Community Physics Package (CCPP) v7.0.0 and the suites that can be configured using them.

The CCPP-Physics (available through https://github.com/NCAR/ccpp-physics/) is envisioned to contain parameterizations used in the Unified Forecast System (UFS) applications for weather through seasonal prediction timescales, encompassing the current operational GFS schemes, as well as developmental schemes under consideration for upcoming operational implementations. The UFS can be configured for multiple applications, including the UFS Short-Range Weather (SRW) Application (available through https://github.com/ufs-community/ufs-srweather-app/), which targets predictions of atmospheric behavior on a limited spatial domain and on time scales from less than an hour out to several days, and the UFS Medium-Range Weather (MRW) Application (available through https://github.com/ufs-community/ufs-mrweather-app/)(which targets predictions of global atmospheric behavior out to about two weeks), the Subseasonal-to-Seasonal (S2S) Application (which predicts the Earth System out to several months), and the Hurricane Application (which predicts tropical cyclones).

The CCPP parameterizations are aggregated in suites by the host models. In this release, the CCPP Single Column Model (SCM), developed by the Development Testbed Center (DTC), supports suites:

In this website you will find documentation on various aspects of each parameterization, including a high-level overview of its function, the input/output argument list, and a description of the algorithm. More details about this and other CCPP releases may be found on the CCPP website hosted by DTC.

Acknowledgements

CCPP team would like to express our deepest gratitude for UFS physics developers' contribution to the development of CCPP-Physics.
We would also like to give special thanks to:

NOAA NWS Environmental Modeling Center
NOAA OAR Global Systems Laboratory
NOAA OAR Physical Sciences Laboratory
NOAA OAR National Severe Storms Laboratory
NOAA OAR Atlantic Oceanographic & Meteorological Laboratory
Atmospheric and Environmental Research, Inc.
Joint Center for Satellite Data Assimilation
NASA Goddard Space Flight Center

for their support and contribution for this CCPP scientific documentation (SciDoc).
Thanks also to the CCPP SciDoc Team at the Developmental Testbed Center: Man Zhang, Ligia Bernardet, and Mike Kavulich