Air pollution has emerged as a major challenge in Delhi and the problem becomes more complex due to multiplicity and complexity of the mix of emission sources, such as, industries, automobiles, generator sets, domestic fuel burning, road side dusts, construction activities, etc. To support Delhi’s air pollution management, modeled 24-hr (daily) average ambient concentrations were simulated for the next 72-hours, using meteorology processed through 3D-WRF meteorological model and the GFS meteorological fields and the concentrations simulated through the CAMx chemical transport modeling system.
The modeling domain covering Delhi and its satellite cities, which extends 80 km in North to South and 80 km West to East, with a spatial resolution of 0.01 degrees (~1 km) and a temporal resolution of 1 hour.
The 24-hr average modeled data fields are updated everyday at ~8:00 PM local time.
Particulate Matter (less than 2.5 micron-m) (PM2.5)
Particulate Matter (less than 10 micron-m) (PM10)
Carbon Monoxide (CO)
Nitrogen Dioxide (NO2)
For more details, visit the Delhi air quality forecasting page. Additional data fields
- summary of monitoring data from local networks as box plots and time series
- Forecasts – animations of hourly wind, temperature, precipitation, and mixing heights (maps)
- Forecasts – daily (24 hour) average concentrations (maps)
- Forecasts – animations of hourly average concentrations (maps)
- Forecasts – hourly time series at the district level
- Forecasts – modeled source contributions to hourly PM2.5 concentrations at the district level
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