Create Graphics
After the model output is post-processed with UPP, the forecast fields can be visualized using Python. The plotting capabilities include generating graphics for near-surface and upper-air variables as well as accumulated precipitation, reflectivity, helicity, and CAPE.
Select the appropriate container instructions for your system below:
Pointing to the scripts in the local scripts directory, run the dtcenter/python container to create graphics in docker-space and map the images into the local pythonprd directory:
-v ${PROJ_DIR}/container-dtc-nwp/components/scripts/common:/home/scripts/common \
-v ${PROJ_DIR}/container-dtc-nwp/components/scripts/sandy_20121027:/home/scripts/case \
-v ${PROJ_DIR}/data/shapefiles:/home/data/shapefiles \
-v ${CASE_DIR}/postprd:/home/postprd -v ${CASE_DIR}/pythonprd:/home/pythonprd \
--name run-sandy-python dtcenter/python:${PROJ_VERSION} /home/scripts/common/run_python.ksh
After Python has been run, the plain image output files will appear in the local pythonprd/ directory.
250wind_d01_f*.png
2mdew_d01_f*.png
2mt_d01_f*.png
500_d01_f*.png
maxuh25_d01_f*.png
qpf_d01_f*.png
refc_d01_f*.png
sfcape_d01_f*.png
slp_d01_f*.png
The images may be visualized using your favorite display tool.
Pointing to the scripts in the local scripts directory, create a container using the python singularity image to create graphics in singularity-space and map the images into the local pythonprd directory:
After Python has been run, the plain image output files will appear in the local pythonprd/ directory.
250wind_d01_f*.png
2mdew_d01_f*.png
2mt_d01_f*.png
500_d01_f*.png
maxuh25_d01_f*.png
qpf_d01_f*.png
refc_d01_f*.png
sfcape_d01_f*.png
slp_d01_f*.png
The images may be visualized using your favorite display tool.
