/wrf_aws

Primary LanguagePython

README

This repo is for setting up wrf on AWS.

RUNNING WRF

  1. Create new cloud9 instance:

    • select Ubuntu under "Platform"
    • select vpc-00177ee82dc8fe654 under "Network Settings"

  2. Add default security group to your cloud9 instance

    • Go to AWS console
    • Click on running instances
    • Click on your instance in the list
    • Click on actions, networking, change security groups
    • Select default group and assign group

  3. Clone wrf_aws repo to your cloud9 instance

  4. Run the following commands to install packages and mount storage

    $ cd wrf_aws
    $ ./go

  5. To run wrf first edit namelist files for your own application

    $ cd forecast/templates
    $ vim namelist.wps
    $ vim namelist.input

  6. Then edit the runwrf script to select length of simulation

    $ cd forecast
    $ vim runwrf

  7. Edit N_DAYS and USERNAME variables in runwrf

  8. Finally run wrf

    $ ./runwrf

  9. wrf output will be in '/data/<username>/wrfout'

POST-PROCESSING

  1. For post-processing login to your workspace

  2. Open a terminal and clone wrf_aws

  3. again run the following commands

    $ cd wrf_aws
    $ ./go

  4. This will setup a python conda environment

    • to run conda open another terminal
    • run the following command

    $ conda activate ecrl