Model for Prediction Across Scales

The Model for Prediction Across Scales (MPAS) is a next generation coupled Earth system modeling package that is under development which 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 were first utilized by researchers in 2013.^[1] Chief development for the atmospheric components (MPAS-A) is by the National Center for Atmospheric Research (NCAR)'s Earth System Laboratory (NESL) and the oceanographic components (MPAS-O) is by the Climate, Ocean, and Sea Ice Modeling Group (COSIM) at the Los Alamos National Laboratory (LANL).^[2] It has been used for real-time weather as well as seasonal forecasting of convection, tornadoes,^[3] and tropical cyclones,^[4] among other uses. Its atmospheric modeling aspects are intended to complement rather than replace (and indeed utilize^[5]) the Weather Research and Forecasting Model (WRF-ARW/NMM), the Global Forecast System (GFS), and the Community Earth System Model (CESM).^[6]

See also

• Tropical cyclone forecast model
• Wind wave model

References

• 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. doi:10.1175/MWR-D-11-00215.1.  Cite uses deprecated parameter |coauthors= (help)

External links

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