Model for Prediction Across Scales

The Model for Prediction Across Scales (MPAS) is an Earth system modeling software that integrates atmospheric, oceanographic, and cryospheric modeling across scales from regional to planetary. It includes climate and weather modeling and simulations that were used initially by researchers in 2013.[1] The atmospheric models were created by the Earth System Laboratory at the National Center for Atmospheric Research and the oceanographic models were created by the Climate, Ocean, and Sea Ice Modeling Group at Los Alamos National Laboratory.[2] The software has been used to model real-time weather as well as seasonal forecasting of convection, tornadoes[3] and tropical cyclones.[4] The atmospheric modeling component of the software can be used with other atmospheric modeling software including the Weather Research and Forecasting Model, the Global Forecast System, and the Community Earth System Model.[5]

MPAS is being tested as a potential candidate for the atmospheric component of the Rapid Refresh Forecast System version 2.[6][7]

See also

References

  1. ^ 2013 NESL Annual Report: The Model for Prediction Across Scales (MPAS)
  2. ^ "NCL Graphics: MPAS". www.ncl.ucar.edu.
  3. ^ Long-range tornado prediction: Is it feasible?
  4. ^ "2015 NCAR Program Operating Plan: Hurricane Prediction".
  5. ^ "MPAS". mpas-dev.github.io.
  6. ^ "Predictions". Boulder, Colorado: National Oceanic and Atmospheric Administration. Retrieved 2026-01-07.
  7. ^ Carley, Jacob; et al. (December 2023). Mitigation Efforts to Address Rapid Refresh Forecast System (RRFS) v1 Dynamical Core Performance Issues and Recommendations for RRFS v2 (Office Note 516). College Park, Maryland: NOAA/NWS/NCEP Environmental Modeling Center. doi:10.25923/ccgj-7140. Retrieved 2026-01-07.
Notes


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