Event submissions
Published
This submission belongs to the session S7. Remote Sensing, Artificial Intelligence and New Technologies in Water Sciences of the event The 9th International Electronic Conference on Water Sciences
Published date
06 Nov, 2025
Academic Editor
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Nikiforos SamarinasCitation
Durga Sharma, Lakshya Soni, Bojan Đurin, Comprehensive Evaluation of Imputation Methods for Reconstructing GRACE/GRACE-FO Terrestrial Water Storage Data, in Proceedings of The 9th International Electronic Conference on Water Sciences, 11 November–14 November 2025, MDPI: Basel, Switzerland
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Comprehensive Evaluation of Imputation Methods for Reconstructing GRACE/GRACE-FO Terrestrial Water Storage Data
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Lakshya Soni 1
Durga Sharma 2
Bojan Đurin 3
1. School of Undergraduate Studies, Golden Gate University, Worldwide Centre Hyderabad, Hyderabad 500081, India
2. Impact Hub Hyderabad, upGrad, Hyderabad, Hyderabad 500081, India
3. Department of Civil Engineering, University North, Koprivnica 48000, Croatia
Abstract
Keywords
GRACE
GRACE-FO
terrestrial water storage
data gaps
imputation methods
machine learning
hydrological applications,