Statistical hydrology, climate change impacts, hydroclimatic variability, water-food-energy nexus.


Uncertainty quantification, climate change impact assessment on hydroclimatic variables, statistical downscaling, extreme events modeling, risk assessment and big data analysis.

Research description

Dr. Rajulapati focuses on developing statistical methods and probabilistic tools for hydro-climatological applications. She works on understanding historical and future changes in hydroclimatic variables at different spatial and temporal scales, modelling extreme events such as floods, droughts, and heatwaves, and assessing risk for disaster management and mitigation.

Graduate Student Opportunities

If you are passionate about statistical hydrology, love playing with data, have good knowledge in programming languages such as R, Python or MATLAB, highly motivated and enthusiastic, you may consider emailing an application to Dr. Rajulapati. The application must contain a cover letter, the latest CV, and a one-page research statement on scientific interests to showcase your writing skills.

Selected Publications