MPAS Tutorial

  Model for Prediction Across Scales – Atmosphere (MPAS-A) Tutorial

 9-11 September, 2019
NCAR Foothills Lab, Boulder, CO


The Mesoscale and Microscale Meteorology (MMM) Laboratory of the National Center for Atmospheric Research (NCAR) will be hosting a Tutorial on the Model for Prediction Across Scales – Atmosphere (MPAS-A). The tutorial will be held at NCAR’s Foothills Laboratory at 3450 Mitchell Lane in Boulder, Colorado. The tutorial will cover the basics of how to set-up, run, and post-process stand-alone MPAS-A simulations, and topics that will be covered will include:

  1. Horizontal (uniform and variable resolution) mesh configuration
  2. Real-data and idealized case initialization
  3. MPAS-A dynamical solver and numerical methods
  4. MPAS-A physics
  5. Software framework and MPAS infrastructure
  6. Post-processing tools

The primary audience for this tutorial is new or beginning users of MPAS-Atmosphere. Basic knowledge of atmospheric science and numerical modeling, as well as experience working within a Unix computing environment, is required for the tutorial.

There will be a limit of 20 participants for this tutorial, and spaces will be allocated on a first-come first-served basis, with preference given to US university students. 

Important Dates

: Registration opens
: Full payment due
: Final day to cancel and receive a refund, minus $25 Administration fee.

About MPAS

MPAS consists of a collection of geophysical fluid flow solvers that utilize centroidal Voronoi horizontal meshes. NCAR develops and supports the atmospheric component, MPAS-A, while the Department of Energy’s Los Alamos National Laboratory (DOE/LANL) is responsible for the ocean, land- and sea-ice models. Development and support of the software infrastructure is shared between NCAR and LANL. MPAS-A is a global atmospheric model that solves the compressible non-hydrostatic equations, hence it is applicable from global scales to the explicit simulation of clouds. It uses atmospheric model physics from the Weather Research and Forecasting model (WRF), and many of the numerical methods employed in MPAS-A originated in WRF. Further details may be found on the MPAS home page at


MPAS, NCAR AND NSF Logos image 


Photo courtesy of Terri Lynn Hamner.