Rama K. Krishna1, Sachin D. Ghude 1, Rajesh Kumar2, Gufran Beig1, Rachana Kulkarni1, Sandip Nivdange3, Dilip Chate1

Indian Institute of Tropical Meteorology, Pune, Maharashtra 411008, India
National Center for Atmospheric Research, Boulder, CO 80305, USA
Department of Environmental science, University of Pune, Pune, Maharashtra 411007, India

Received: December 30, 2017
Revised: April 24, 2018
Accepted: April 24, 2018
Download Citation: ||https://doi.org/10.4209/aaqr.2017.12.0568  

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Cite this article:
Krishna, R.K., Ghude, S.D., Kumar, R., Beig, G., Kulkarni, R., Nivdange, S. and Chate, D. (2019). Surface PM2.5 Estimate Using Satellite-Derived Aerosol Optical Depth over India. Aerosol Air Qual. Res. 19: 25-37. https://doi.org/10.4209/aaqr.2017.12.0568


  • Estimation of surface PM2.5 concentration over Indian region using satellite AOD.
  • Identify PM2.5 spatial distribution with high-resolution.
  • Validation of estimated daily PM2.5 with in situ measurements over urban clusters.


Concentrations of fine particulate matter (PM2.5) that exceed air quality standards affect human health and have an impact on the earth’s radiation budget. The lack of round the clock ground-based observations from a dense network of air quality stations inhibits the understanding of PM2.5’s spatio-temporal variability and the assessment of its health and climate effects. Aerosol optical depth (AOD) values retrieved from satellite based instruments can be used to derive surface PM2.5 concentrations. This study integrates Moderate Resolution Imaging Spectroradiometer (MODIS) AOD retrievals and simulations from the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) to determine the ground-level PM2.5 concentrations at a 36 km resolution across India. WRF-Chem simulations provide the factor relating the AOD with the PM2.5. Satellite-derived PM2.5 mass concentrations are compared with the available ground-based observations across India for the year of 2011. The results show a correlation between the satellite-derived monthly PM2.5 estimates and the ground-based observations for 15 stations in India with coefficients of 77% and diurnal scale coefficients varying from 0.45 to 0.75. The best estimations of PM2.5 mass concentrations on a spatio-temporal scale across India address various environmental issues.

Keywords: AOD; PM2.5; Spatio-temporal variability of PM2.5; Impact assessment


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