What Is LassoCMAQ

• LassoCMAQ is a computationally efficient reduced-form CMAQ model, developed using the least absolute shrinkage and selection operator (LASSO) together with an adaptive logit transformation of the response variable.
• It estimates ozone and PM2.5 concentrations from regional emission-control scenarios in about 30 seconds per scenario. The model computes concentrations for every grid cell at every hour, enabling rapid what-if exploration without running CMAQ.

How to Use LassoCMAQ

1. Enter a 17 × 7 emission scenario matrix (Region × Emission Sector) specifying emission change ratios (e.g., 0.9 = 10% reduction from the baseline).
2. Select pollutant(s) and click Run to estimate CMAQ-equivalent concentrations for the selected scenario.
3. Inspect maps and summary metrics; click a grid cell to view the top five influential variables for the corresponding region.
4. Download the scenario inputs and the full model results as needed.

Citation

D.-B. Lee et al., A LASSO-based reduced-form CMAQ model for predicting ozone and PM2.5 responses to emission changes in South Korea (submitted)

Ozone

PM2.5