WRF Training Course - 11-14 February, 2019

CASANZ is thrilled to announce that we will be hosting a four day WRF Training Course in partnership with the University of Technology Sydney. This course will be presented by experts from the Mesoscale & Microscale Meteorology Laboratory, National Centre for Atmospheric Research (NCAR), Boulder Colorado. The Weather Research and Forecasting Model (WRF) is a next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. The model serves a wide range of meteorological applications across scales from tens of meters to thousands of kilometres. The National Center for Atmospheric Research (NCAR), in collaboration with others, developed WRF in the late 1990s. Early bird registration available to 4/01/2019.

February 11, 2019


Thank you to the University of Technology Sydney for making this event possible.

The course will consist of lectures and hands on practice sessions in the following topics:

  1. WRF Pre-processing System
  2. WRF Dynamics and Numerics
  3. WRF Physics
  4. WRF Software Framework
  5. WRF Post-processing and Graphical tools

This course requires a basic knowledge of atmospheric science and numerical modelling, as well as experience working with a Unix computer environment.

THE NCAR team recommend working through the WRF-ARW online tutorial prior to the course to ensure you receive the full benefit of the face to face training.  Similarly undertaking an online tutorial on Unix for beginners will also help your understanding of the Unix/Linux working environment.

More information on course preparedness is available at:  https://www.mmm.ucar.edu/wrf-tutorial-overview

Places are limited to 22 CASANZ registrations.  Register quickly to avoid disappointment.

The WRF training course will be presented by experts from the National Centre for Atmospheric Research (NCAR), Boulder, Colorado.

The WRF Modelling system is available via a free download from the NCAR Mesoscale & Microscale Meteorology laboratory (MMM): http://www2.mmm.ucar.edu/wrf/users/

The Weather Research and Forecasting Model (WRF) is a state-of-the-art atmospheric modelling system designed for both meteorological research and numerical weather predictions.  It offers a host of options for atmospheric processes and can run on a variety of computing platforms.  More information is available at: http://www2.mmm.ucar.edu/wrf/users/.

  • Electronic copy course workbook with the course slides
  • Electronic copy of the WRF Technical Note
  • Electronic copy of the WRF User Guide
  • Electronic CASANZ Course Certificate

Early bird, before 4 January 2019: AU$2,700
Registration after 4 January 2019: AU$3,000
Late Registration, after 1 February 2019: AU$3,100

Early bird, 4 January 2019: AU$3,510
Registration after 4 January 2019: AU$3,900
Late Registration, after 1 February 2019: AU$4,000

Registration: AU$1,500
Late Registration, after 1 February 2019: AU$1,600

If you are a student or work in academia please contact Jacinda Shen (CASANZ Training Manager) (jacinda@casanz.org.au) for special course/workshop fees and registration information.

NOTE: It is cheaper to become an individual member of CASANZ than pay the non-member price.  Join here.

Only one discount type is applicable per registration, the following discounts are available:

Multiple registration discount:  three or more registrations from the same organisation receive a 20% discount.  Apply the coupon code Multi19 at the checkout.

Government employee discount: 10% discount on the early bird member rate is available for all government employees regardless of membership status.  Apply the coupon code Gov19 at the checkout.

Jacinda Shen CASANZ Training Manager