Removal of Content Advisory - April 2024

Advisory to Numerical Weather Prediction (NWP) containers users: As of the beginning of April 2024, all support assets for Numerical Weather Prediction (NWP) containers will be removed from the DTC website. Users should download all reference materials of interest prior to April 2024.

NWP Containers Online Tutorial | Downloading Input Data

Static and initialization data

Two types of datasets will need to be available on your system to run WPS and WRF. The first is a static geographical dataset that is interpolated to the model domain defined by the geogrid program in WPS. To reduce the necessary size footprint, only a subset of coarse static geographical data is provided. The second is model initialization data that is also processed through WPS and the real.exe program to supply initial and lateral boundary condition information at the start and during the model integration.

Additionally, a tarball for GSI data assimilation will be needed, containing CRTM coefficient files. And a tarball containing shapefiles is needed for running the Python plotting scripts.  

Information on how to download data is detailed in this tutorial. If a user has access to datasets on their local machine, they can also point to that data when running the containers.

Please follow the appropriate section below that fits your needs.

NOTE: If you do not plan on running all the test cases, you can omit downloading all of the model input data and only download those cases you are interested in. All cases require the CRTM and WPS_GEOG data, however.

For other platforms, you can download this data from the DTC website:

cd ${PROJ_DIR}/

mkdir data/

cd data/

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/container-dtc-nwp-derechodata_20120629.tar.gz | tar zxC .

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/container-dtc-nwp-sandydata_20121027.tar.gz | tar zxC .

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/container-dtc-nwp-snowdata_20160123.tar.gz | tar zxC .

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/CRTM_v2.3.0.tar.gz | tar zxC .

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/wps_geog.tar.gz | tar zxC .

curl -SL https://dtcenter.ucar.edu/dfiles/container_nwp_tutorial/tar_files/shapefiles.tar.gz | tar zxC .

You should now see all the data you need to run the three cases in this directory, grouped into five directories:

ls -ald -- *
drwxr-xr-x   3 user  admin    96 Jul 21  2020 gsi/
drwxr-xr-x  35 user  admin  1120 May 13 22:52 WPS_GEOG/
drwxr-xr-x   3 user  admin    96 Nov 12  2018 model_data/
drwxr-xr-x   4 user  admin   128 Nov 12  2018 obs_data/
drwxr-xr-x   3 user  admin   96 Sep 10  2021 shapefiles/

For users of the NCAR Cheyenne machine, the input data has been staged on disk for you to copy. Make a directory named "data" and unpack the data there:

cd ${PROJ_DIR}/
mkdir data/
cd data/
tcsh bash
foreach f (/glade/p/ral/jntp/NWP_containers/*.tar.gz)
  tar -xf "$f"
end
for f in /glade/p/ral/jntp/NWP_containers/*.tar.gz; do tar -xf "$f"; done

You should now see all the data you need to run the three cases in this directory:

ls -al            
drwxr-xr-x 3 user ral 4096 Jul 21  2020 gsi
drwxrwxr-x 3 user ral 4096 Nov 12  2018 model_data
drwxrwxr-x 3 user ral 4096 Nov 12  2018 obs_data
drwxrwxr-x 4 user ral 4096 Sep 10  2021 shapefiles
drwxrwxr-x 35 user ral 4096 May 13 16:52 WPS_GEOG