The University of Alabama
Ph.D, Hydrology
Obtaining Improved Estimates of Soil Moisture, Evapotranspiration and its Components using Physical Modeling and Big Data Analysis.

Indian Institute of Technology Bombay
M.Tech, Water Resource Engineering
Investigated the overall hydrology of Godavari river basin in response to future climate change using H08 hydrological model. Also developed a statistical tool for revamping extended range forecast of Indian Summer Monsson Rainfall (ISMR).

Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India
B.Tech, Civil Engineering
Performed an experiment to obtain Manning's and Chezzy's constants for different materials.

Indian Institute of Technology Bombay
Junior Researcher
Performed statistical downscaling of multiple CMIP5 GCMs over India. The project was aimed at downscaling the multiple variables for 21st century required as inputs for hydrological models (like; VIC, SWAT, etc.) particularly for climate change assessment, and develop a web-based database that would be open source to the hydrological community.

Raghav, P., Kumar, M., Liu, Y. (2023). Machine learning shows significant potential for the improvement of current stomatal conductance models. Manuscript under review at Nature Communications.

Rathore, L. S., Hanasaki, N., Kumar, M., Mekonnen, M., & Raghav, P. (2023). Transition from Rain-fed to Irrigation-fed Agriculture in Rural Areas to Exacerbate Urban Water Scarcity. Under review at Earth's Future.

Wagle, P., Raghav, P., Kumar, M., & Gunter, S. A. (2023). Influence of water use efficiency parameterizations on flux variance similarity-based partitioning of evapotranspiration. Agricultural and Forest Meteorology, 328(13), 109254.

Raghav, P., & Eldho, T. I. (2023). Investigations on the hydrological impacts of climate change on a river basin using macroscale model H08. Journal of Earth System Science, 132(2), 1-23.

Raghav, P., Wagle, P., Kumar, M., Banerjee, T., & Neel, J. (2022). Vegetation Index-Based Partitioning of Evapotranspiration Is Deficient in Grazed Systems. Water Resources Research, 58(8).

Raghav, P., & Kumar, M. (2021). Retrieving gap-free daily root zone soil moisture using Surface Flux Equilibrium theory. Environmental Research Letters, 16(10), 104007.

Raghav, P., Borkotoky, S. S., Joseph, J., Chattopadhyay, R., Sahai, A. K., & Ghosh, S. (2020). Revamping extended range forecast of Indian summer monsoon. Climate Dynamics, 55(11), 3397-3411.

Raghav, P., & Kumar, M. (2022, December). Assessing evapotranspiration partitioning obtained using land surface models across varied ecosystems. In AGU Fall Meeting 2022. AGU.

Ghaseminejad, A., Bhat, M., Raghav, P., & Kumar, M. (2022, December). Machine Learning-Driven Temporal Downscaling of Groundwater Recharge Estimates to Obtain Event-Based Response. In AGU Fall Meeting 2022. AGU.

Rathore, L. S., Hanasaki, N., Kumar, M., Mekonnen, M., & Raghav, P. (2022, December). Rain-fed to Irrigation-fed Transition of Cropped Agriculture may Enhance Urban-Rural Water Conflict. In AGU Fall Meeting 2022. AGU.

Wagle, P., Raghav, P., & Kumar, M. (2022, December). Sensitivity of Water Use Efficiency Parameterizations on Flux Variance Similarity-based Partitioning of Evapotranspiration. In AGU Fall Meeting 2022. AGU.

Raghav, P., & Kumar, M. (2021, December). Are canonical relations to partition evapotranspiration valid for managed systems?. In AGU Fall Meeting Abstracts (Vol. 2021, pp. B12B-02).

Kumar, M., & Raghav, P. (2021, December). Obtaining daily root zone soil moisture using a calibration-free approach. In AGU Fall Meeting Abstracts (Vol. 2021, pp. H55C-0777).

Raghav, P., & Eldho, T. I. (2019). Investigations on the impacts of future climate change on the hydrology of a river basin in India using a macroscale hydrological model. In 11th World Congress on Water Resources and Environment: Managing Water Resources for a Sustainable Future-EWRA 2019. Proceedings.

Raghav, P., & Eldho, T.I. (2021). Assessing the Impacts of Climate Change on Crop Yield in Upper Godavari River Subbasin Using H08 Hydrological Model. Climate Change Impacts on Water Resources: Hydraulics, Water Resources and Coastal Engineering, 193-205.

Raghav, P., Wagle, P., Kumar, M., Banerjee, T., & Neel, J. (2022). Data from: Vegetation index-based partitioning of evapotranspiration is deficient in grazed systems. Ag Data Commons.

Raghav, P., Singh, J., & Ghosh, S. (2019). Regional climate projections in India with statistical downscaling. (Contact Prof. Subimal Ghosh at subimal@civil.iitb.ac.in if having any difficulty in downloading the dataset.)

Raghav, P., Kumar, M., & Liu, Y. (2023). Structural constraints in current stomatal conductance models preclude accurate estimation of evapotranspiration and its partitions (1.0.0).

Secured an All India Rank of 745 in Graduate Aptitude Test in Engineering (GATE) exam.