Jorge Humberto Bravo Méndez, Freelace, Mexico

During the last eight years I was work as climate researcher for the Secretariat of Civil Protection, a government agency of the Veracruz State, which has a department called "Center for Studies and Weather Forecast", this center is operated by operational meteorologists and all them need weather forecast models outputs for elaborate its bulletins and reports every day.

The most common method for obtain this forecast outputs is download them from free access websites of the global or regional centers, like GFS of NOAA, to mention one of the best known.

However the problem occurs when you want to make a forecast for a municipality or locality, the big size of the global or meso-scale models grid, it does not allow to observe changes at that scale, and here is where the use of a regional weather model like WRF/MPAS help us to improve the resolution outputs of the weather variables and with this resolution it is possible to have a better idea at the local level of a forecast.

The entire processes for run the model, both models, it can be automated including pre and post processing, and I have a methodology that I implemented and you can see an example in this website (https://cepmpc.gitlab.io/innovacion/wrf.html)

This automation process has helped university centers (https://redesclim.gitlab.io/wrf-fi-uaq/) and other government agencies at the municipal level (http://wrf.implanbadeba.gob.mx/)

Currently I continue to improve the process for the execution