Getting Started

Requirements to run ICON-ART

As for most atmospheric models, it is strongly recommended to run ICON-ART on a High Performance Computing system such as Levante from the DKRZ or HoreKA from KIT. This usually requires an account which has to be obtained through the respective HPC Systems procedures.

Getting the source code

A user who wants to work with ICON-ART has to sign the ICON license agreement with the German Weatherservice (DWD) and Max-Planck-Institute for Meteorology (MPI-M) first. Further information can be found on the following website:

https://code.mpimet.mpg.de/projects/iconpublic

Afterwards you also should get access to the DKRZ gitlab. If you have access you can clone ICON.

Example for cloning the ICON-KIT repository including all submodules (including ART):

git clone --recursive git@gitlab.dkrz.de:icon/icon-kit.git

Installation

ICON-ART is already included in the most recent ICON version. For Instructions on how to install ICON, please refer to the first chapter of the ICON Model Tutorial. The only caveat is that during the configuration step the tag --enable-art has to be included.

Creating a Runfile

• Go to icon-kit/run/checksuites.icon-kit

• Run bash-script run_testsuite via ./run_testsuite

• The script creates the folder runscripts, which contains exemplary runfiles which are adapted to some common HPC-Systems you might be using.

Running a Job

For a user who succeeded in running the ICON model, there are only a few steps to run the ART extension along with the ICON model. A description how to run the ICON model can be found in .

In order to run ICON-ART, one has to do the following steps:

• Make sure you have everything required for an ICON run

• Prepare the input data (see section Input )

• Inside the runscript in the namelist run_nml, set the main switch for ICON-ART to true: lart = .true.

• Add a namelist art_nml and choose the namelist parameters for the ART setup as described in Input.

• Adapt the XML files for tracers, emi. The number of tracers related to a specific setup is equal to the number of possible prognostic output fields as described in Input.

• Add an output namelist as described in for the species you are interested in Input.

• Submit the job analogous to an ICON job.