5. Post-process and QA# 5.1. Post-process CMAQ and Install R 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 5.3. 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