5. Post-process and QA

• 5.1. Post-process CMAQ and Install R and Anacoda
  • 5.1.1. Scripts to run combine and post processing
    • Build the POST processing routines
    • Edit, Build, and Run the POST processing routines
  • 5.1.2. Install R, Rscripts and Packages
  • 5.1.3. Install Anaconda on the /shared/build directory
• 5.2. QA CMAQ
  • 5.2.1. Quality Assurance
  • 5.2.2. Run m3diff to compare the output data for two runs that have different values for NPCOL
  • 5.2.3. Run an R script to create the box plots and spatial plots comparing the output of two runs
  • 5.2.4. Run Jupyter Notebook to analyze difference between with DESID Emissions and the base case (no emission reduction)
• 5.3. Compare Timing of CMAQ Routines
  • 5.3.1. Parse timings from the log file
    • Compare the timings for the CONUS ParallelCluster Runs
    • Edit the R script
      • Run parse_timing.pes.lustre.cmaqv5.4.r script to examine timings of each science process in CMAQ
• 5.4. Copy Output to S3 Bucket
  • 5.4.1. Copy Output Data and Run script logs to S3 Bucket
  • 5.4.2. Copy scripts and logs to /fsx
  • 5.4.3. Examine the output files
  • 5.4.4. Copy the output to an S3 Bucket