Model for Prediction Across Scales

The Model for Prediction Across Scales (MPAS) is a coupled Earth system modeling package that integrates atmospheric, oceanographic and cryospheric modeling on a variety of scales from the planetary to regional and mesoscale/microscale. It includes climate and weather modeling and simulations that were first used by researchers in 2013. The atmospheric components (MPAS-A) were led by the National Center for Atmospheric Research (NCAR)'s Earth System Laboratory (NESL) and the oceanographic components (MPAS-O) by the Climate, Ocean, and Sea Ice Modeling Group (COSIM) at Los Alamos National Laboratory (LANL). It has been used for real-time weather as well as seasonal forecasting of convection, tornadoes and tropical cyclones, among other uses. Its atmospheric modeling aspects are intended to use and complement rather than replace the Weather Research and Forecasting Model (WRF-ARW/NMM), the Global Forecast System (GFS) and the Community Earth System Model (CESM).

MPAS enables scientists to improve the simulation of complex phenomena while not having to contend with myriad routine computational details.

See also

• Tropical cyclone forecast model
• Wind wave model
• Global circulation model

References

Notes

• Skamarock, William C.; J. B. Klemp; M. G. Duda; L. D. Fowler; S.-H. Park; T. D. Ringler (2012). "A Multiscale Nonhydrostatic Atmospheric Model Using Centroidal Voronoi Tesselations and C-Grid Staggering". Mon. Wea. Rev. 140 (9): 3090–105. Bibcode:2012MWRv..140.3090S. doi:10.1175/MWR-D-11-00215.1. S2CID 34543801.

External links

• MPAS homepage
• 2015 NCAR Program Operating Plan: The Model for Prediction Across Scales (MPAS)
• One Image That Shows Future of Climate Models