EGU24-13596, updated on 07 Sep 2026
https://doi.org/10.5194/egusphere-egu24-13596
EGU General Assembly 2024
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Comparative Analysis of Deep Learning Models for Reconstructing GRACE Terrestrial Water Storage Changes over India
2,- 1Department of Geosciences, University of Oslo, Oslo, Norway (pragaysm@uio.no)
- 2Department of Earth Science, IIT Bombay, Powai, Mumbai, India (srinivasarao@iitb.ac.in)
- 3Department of Applied Geophysics, Indian Institute of Technology (ISM) Dhanbad, Jharkhand, India (saumen@iitism.ac.in)
How to cite: Moudgil, P. S., Rao, G. S., and Maiti, S.: Comparative Analysis of Deep Learning Models for Reconstructing GRACE Terrestrial Water Storage Changes over India, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13596, https://doi.org/10.5194/egusphere-egu24-13596, 2024.