Embedded Files
Research Areas
Atmospheric aerosols play a major role in Earth's radiative budget but are one of the greatest sources of uncertainty in climate modeling. They affect climate directly by scattering and absorbing sunlight, and indirectly by modifying cloud properties. This can produce a cooling effect that counterbalances warming from increased CO₂.
Present estimates of aerosol forcing range from –0.6 to –4.0 W/m². MODIS aboard NASA's Terra and Aqua satellites monitors aerosol optical thickness, size distribution, and radiative forcing globally. These data support aerosol climatology, climate modeling, and atmospheric correction over land.
(Adapted from: NASA Earth Observing System, neo.gsfc.nasa.gov)
Aerosol Optical Depth - Terra/MODIS - May 2025
Image Credit: NASA EOS
Mean AOD 550nm (2024), Indian Subcontinent
Product: MODIS MCD19A2
To understand Aerosol dynamics over India, district-level analysis was performed using annual mean AOD from MODIS MCD19A2 (2000–2024). Districts were classified into four quantile-based classes for (i) long-term AOD exposure (mean AOD over 25 years) and (ii) AOD trend (based on slope of the time series).
This classification highlights spatial variability in aerosol loading and its temporal evolution across India.
Urban Heat Island, Hyderabad City
Advanced Statistical Techniques (AOD)
Hydro-Climatic Extremes (ppt.)
Technical Expertise
Geospatial Tools: QGIS, Google Earth Engine, ArcGIS
Programming: Python, R Studio, JavaScript (GEE)
CAD & Other Software: AutoCAD 2D & 3D, Midas Gen, STAAD Pro, Midas GTS NX, SolidWorks
Mathematics & Statistics: Applied statistics and mathematical modeling for environmental data
Productivity Tools: Microsoft Office Suite (Word, Excel, PowerPoint), MS Power BI
Core Areas: Remote Sensing, GIS, Climate Data Analysis, Hydroclimatology, Machine Learning
Research Mentors
Supervisor
Page updated
Google Sites
Report abuse