CHEMICAL TRANSPORT MODELS (CTMS) ARE IMPORTANT TOOLS FOR INTERPRETING SATELLITE AND OTHER DATA FOR ATMOSPHERIC COMPOSITION. THE INCREASING RESOLUTION AND COMPLEXITY OF CTMS POSE SERIOUS COMPUTATIONAL CHALLENGES TO ATMOSPHERIC CHEMISTRY RESEARCHERS WHO OFTEN HAVE INADEQUATE COMPUTATIONAL RESOURCES AND LIMITED SKILLS IN HIGH-PERFORMANCE COMPUTING (HPC). CLOUD PLATFORMS WILL GREATLY LOWER THE BAR FOR ATMOSPHERIC CHEMISTS TO UTILIZE HPC TECHNOLOGIES. PUBLIC CLOUD PLATFORMS SUCH AS AMAZON WEB SERVICES (AWS) AND GOOGLE CLOUD ALLOW RESEARCHERS WORLDWIDE TO REQUEST ON-DEMAND HPC CLUSTERS AND ACCESS ALREADY-BUILT CONFIGURATIONS OF ATMOSPHERIC MODELS. THE AWS CLOUD HAS ALSO BEEN USED TO DISTRIBUTE VARIOUS EARTH SCIENCE DATASETS PRODUCED BY NASA AND NOAA SAVING RESEARCHERS MASSIVE AMOUNTS OF TIME TRANSFERRING DATA BETWEEN ORGANIZATIONS. ENABLING CTM SIMULATIONS IN THE CLOUD ENVIRONMENT WILL FURTHER FACILITATE INVERSE ANALYSES OF SATELLITE DATA AVAILABLE ON CLOUD PLATFORMS.