Numerical Weather Prediction on AWS & AWS-Graviton2 with WRF
Launch an EC2 instance running WRF (advanced options)
- NICE-DCV (https://docs.aws.amazon.com/dcv/index.html) is available for high-performance display and preinstalled in the AMI. However, and unlike for clusters, you will need to manually start the server ($ sudo systemctl start dcvserver) and create the session ($ dcv create-session wrfdisplay). The session will be available in most web browsers via https://External_IP_instance:8443/#wrfdisplay.
- The subdirectory /home/centos/DATA contains several preprocessing data of interest:
2.1. Preprocessing data for the January 2000 example case (https://www2.mmm.ucar.edu/wrf/OnLineTutorial/CASES/JAN00/index.php).
2.2. A file detailing the content of the CESM LENS (Community Earth System Model Large Ensemble). Files can be downloaded with the command aws s3 (e.g. aws s3 cp s3://ncar-cesm-lens//filename). Add the flag ‘–no-content’ if you still have not configured your AWS CLI credentials.
2.3. A file OpenData_list with the endpoints of available datasets. Other datasets might become available in the future, and we will update the list accordingly.
- NCL (NCAR Command Language) is available for post-processing duties. The official website (https://www.ncl.ucar.edu/) furnishes documentation on the language itself and how to create high-quality graphics from WRF data.