Model for Prediction Across Scales explained

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]

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Notes and References

  1. https://nar.ucar.edu/2013/nesl/72b3-model-prediction-across-scales-mpas-0 2013 NESL Annual Report: The Model for Prediction Across Scales (MPAS)
  2. Web site: NCL Graphics: MPAS. www.ncl.ucar.edu.
  3. http://www2.ucar.edu/atmosnews/perspective/9996/long-range-tornado-prediction-it-feasible Long-range tornado prediction: Is it feasible?
  4. Web site: 2015 NCAR Program Operating Plan: Hurricane Prediction.
  5. Web site: MPAS. mpas-dev.github.io.