Run Benchmark Version of CARDAMOM on MAAP

[ddalton-swe]

• Work with @vineety to gather the input files and confirm the appropriate output for CARDAMOM.

[ddalton-swe]

MAAP Job Completion Report:

The execution of the MAAP job has been completed. For detailed information and output, please refer to the following files:

Output File:

• MAAP Output: _stdout(2).txt

Screenshot:

[ddalton-swe]

It should be noted that this job to 10h 35m to run

[ddalton-swe]

Running CARDAMOM on MAAP within the ADE

To run CARDAMOM within the Multi-mission Algorithm and Analysis Platform (MAAP) using the Analysis and Development Environment (ADE), follow these steps:

1. Clone the CARDAMOM repository:

   git clone https://github.com/CARDAMOM-framework/CARDAMOM_v2.3.git
   cd CARDAMOM_v2.3
   touch run_cardamom.sh

2. Open the run_cardamom.sh file and add the following script:

   #!/bin/bash
   
   set -e
   
   # Determine the directory of the script
   basedir=$(cd "$(dirname "$0")" && pwd -P)
   
   INPUT_FILE=$(ls -d input/*)
   
   # Create and activate a Conda environment
   conda create --name myenv python=3.7
   eval "$(conda shell.bash hook)"
   conda activate myenv
   
   # Install required Conda packages
   conda install -c conda-forge libnetcdf gcc
   
   # Set LD_LIBRARY_PATH environment variable
   export LD_LIBRARY_PATH="${basedir}:/opt/conda/lib:$LD_LIBRARY_PATH"
   
   # Run the CARDAMOM_COMPILE.sh
   "${basedir}/BASH/CARDAMOM_COMPILE.sh"
   
   # Run the CARDAMOM_MDF.exe with the provided input file
   "${basedir}/C/projects/CARDAMOM_MDF/CARDAMOM_MDF.exe" "${INPUT_FILE}" parameter.cbr
   
   # Deactivate the Conda environment
   conda deactivate

3. Navigate to the home directory and set up the input data:

   cd ~
   mkdir input
   cd input
   curl -O https://raw.githubusercontent.com/CARDAMOM-framework/CARDAMOM_v2.3/main/DATA/CARDAMOM_DEMO_DRIVERS_prototype_1005.cbf.nc
   cd ..

4. Run the CARDAMOM script:

   time bash ./CARDAMOM_v2.3/run_cardamom.sh