WRF Tutorial Overview

Due to the uncertainty around the COVID-19 virus, all tutorials for Weather Research and Forecasting (WRF) for the summer of 2020 have been canceled. 

WRF Tutorial Topics

The Basic tutorial will consist of lectures on various components of the WRF modeling system along with hands-on practice sessions. The topics include:

  • WRF Pre-processing System
  • WRF Dynamics and Numerics
  • WRF Physics
  • WRF Software Framework
  • WRF Post-processing and Graphical Tools


Basic knowledge of atmospheric science and numerical modeling, as well as experience working with a Unix computer environment, is required for the class. WRF Tutorial participants are strongly encouraged to work through the WRF-ARW online tutorial, especially if you have not used the model before.

Reviewing the online tutorial will provide an overview of the system, which can help enhance your learning experience once you are here (even if you cannot compile and run the code physically).

If you run into any problems while working through this, please post to our WRF/MPAS Support Forum

All participants are also strongly encouraged to become familiar with Unix/Linux working environment, as using directories, editing text files and Fortran code are absolutely essential to operate the modeling system programs. One can easily find Unix tutorials for beginners online for this purpose or view the lessons below from The COMET Program

Unix lesson: https://www.meted.ucar.edu/ucar/unix

Fortran lesson: https://www.meted.ucar.edu/ucar/fortran

Participants can choose to attend just one of the tutorials, or any combination.

Climate and Weather Extremes Tutorial 

The Climate and Weather Extremes Tutorial provides participants with knowledge and tools to conduct extreme weather research. The tutorial will (i) Provide a broad overview of the physical mechanisms, characteristics and predictability of weather and climate extremes from local to global, and sub-seasonal to multi-decadal scales; (ii) Use the WRF model as an example of a dynamical model that can predict extremes at weather and climate scales; and (iii) Present complementary statistical approaches to modeling extremes.

Topics include:

-Extremes under climate change: State of the science

- Approaches to characterizing and predicting extremes

              -Dynamical modeling frameworks for extremes

              -Statistical modeling of extremes

- Challenges and advances in convective extremes and hurricanes

- Sources of uncertainty in modeling climate and weather extremes

WRF Data Assimilation Tutorial Topics 

A WRF-ARW-only data assimilation tutorial (including hands-on practice) will include lectures on a variety of topics on the full capability of the WRFDA system. The topics will include:
            - Observation types, formats, and preprocessing
            - Background error modeling and estimation
            - 3D- and 4D-Variational data assimilation
            - Ensemble and Hybrid Variational-Ensemble data assimilation methods
            - Cycling with WRF and WRFDA
            - Visualization and verification tools
Users may attend this tutorial without attending the basic WRF tutorial; however, a basic understanding of the WRF model is required to make full use of the WRFDA tutorial.


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