Dear all,

I am pleased to announce that after sometime, I managed to introduce the WRF-CORDEX module in the official (in fact, in my fork of the GIT) WRF's GIT.

The CORDEX-WRF module was initially dedicated to provide the outputs requested in any CORDEX exercise. This tends to be a tedious post-processing work, in sometimes is as long as the simulation by it self. the goal is to provide the diagnostics whilst the integration of the simulation. Enormously reducing the need for post-processing by increasing a little the integration time of the model.

Aside to provide an answer to an specific climate related demand from the CORDEX WRF community, it grew fast to provide:

• Additional non-specific CORDEX diagnostics
• Generic definitions of certain diagnostics that might be scheme dependent
• Introduction of additional variables in the integration-time p-level vertical interpolation

First version (v1.3) of the module was accompanied by an article in GMD:
Lluís Fita, Jan Polcher, Theodore M. Giannaros, Torge Lorenz, Josipa Milovac, Giannis Sofiadis, Eleni Katragkou and Sophie Bastin, 2019: CORDEX-WRF v1.3: development of a module for the Weather Research and Forecasting (WRF) model to support the CORDEX community, Geosci. Model Dev., 12, 1029-1066, 2019, doi 10.5194/gmd-12-1029-2019

Variables are grouped in different levels which are activated through pre-compilation flags activated in the configure.wrf file.

Code is available from my fork of the WRF code (from v7.1)

[email protected]:LluisFB/WRF.git

In the cdxwrf branch

git clone --recurse-submodules -b cdxwrf [email protected]:LluisFB/WRF.git

Current version of the module is v.3 and it provides about 150 new diagnostics a new section in the namelist.input labelled &cdxwrf with new parameters. Outputs are grouped in 3 files:

• wrfcdx_d<domain>_<date>: main output file at auxhist19 with most of the variables
• wrfhfcdx_d<domain>_<date>: high-frequency (e,g, 10 minutes) output file at auxhist18 only for RAIN and COLMAX implemented to assist the tracking convective systems
• wrfpress_d<domain>_<date>: p-level interpolated variables at auxhist23 with the additional variables

You can find more details in the CDXWRF WIKI

This work was made possible by the participation of the co-authors of the article, talks with a lot of different researchers from a lot of different countries and even other sciences. Thanks to all of them

Hope is useful to the community.

Lluís