‪Pragay Shourya Moudgil‬ - ‪Google Scholar‬

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Srinivasa Rao GangumallaAssistant Professor, Department of Earth SciencesVerified email at iitb.ac.in

Pragay Shourya Moudgil

Pragay Shourya Moudgil

PhD, University of Oslo

Verified email at uio.no

Glaciers Time series analysis GRACE Remote Sensing Hydrology


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Groundwater levels estimation from GRACE/GRACE-FO and hydro-meteorological data using deep learning in Ganga River basin, India PS Moudgil, GS Rao Environmental Earth Sciences 82 (19), 441, 2023	3	2023
Comparative Analysis of Deep Learning Models for Reconstructing GRACE Terrestrial Water Storage Changes over India PS Moudgil, GS Rao, S Maiti EGU24, 2024		2024
Bridging the Temporal Gaps in GRACE/GRACE–FO Terrestrial Water Storage Anomalies over the Major Indian River Basins Using Deep Learning PS Moudgil, GS Rao, K Heki Natural Resources Research, 1-20, 2024		2024
Filling Temporal Gaps within and between GRACE and GRACE-FO Terrestrial Water Storage Changes over Indian Sub-Continent using Deep Learning. P Shourya Moudgil, G Srinivasa Rao EGU General Assembly Conference Abstracts, EGU-8218, 2023		2023
Predicting Groundwater Level Changes in Northern India from GRACE and GRACE Follow-On Data using Deep Learning Algorithms. PS Moudgil, D Dabhi, SRAO Gangumalla AGU Fall Meeting Abstracts 2022, G25F-0264, 2022		2022

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