I am currently a Research Engineer/Scientist working with Professor Mukesh Kumar in the Department of Civil, Construction, and Environmental Engineering at the University of Alabama. My research work focuses on improving our understanding and prediction of ecohydrological processes in current-generation land surface models. Specifically, my research aims to enhance the estimation of plant traits, evapotranspiration, and soil moisture to better understand how environmental extremes (such as droughts and heatwaves) shape ecosystem function. To achieve this, I integrate observational data including eddy covariance flux tower and remote sensing datasets with both process-based Earth system models and data-driven machine learning approaches.
Pushpendra Raghav
The University of AlabamaPh.D, Hydrology
Obtaining Improved Estimates of Soil Moisture, Evapotranspiration and its Components using Physical Modeling and Big Data Analysis.
Indian Institute of Technology BombayM.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, IndiaB.Tech, Civil Engineering
Performed an experiment to obtain Manning's and Chezzy's constants for different materials.
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., & 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.
Secured an All India Rank of 745 in Graduate Aptitude Test in Engineering (GATE) exam.
Improving the skills of dynamical (physics-based) models (ERPAS) for extented range forecast of rainfall (up to four weeks) using assemblage of machine learning techniques (SDM). (2020@ ClimDyna)
C3 crop (Winter Wheat) is in danger under future climate change! How water and temperature stresses under future climate change (RCP4.5) affect the yield of C3 crop (Wheat) and C4 crops (Sorghum and Millet)? (2021@ ClimChange)
Generating continuous (both in time and space) maps of root-zone soil moisture using Surface Flux Equilibrium Theory. (2021@ ERL)
How disturbance in a natural system affects evapotranspiration partitioning? (2022@ WRR)
How parameterization of leaf-level water use efficiency affects the Flux Variance Similarity-based evapotranspiration partitioning? (2022@ AFM)
Future projection of different hydro-climatological variables under high carbon emission scenario in UGRSB. (2023@ JESS)