Reconstructed Global Total Water Storage Products (1923-2022): Insights and Challenges in Humid and Arid Regions

Abstract

 A deep learning model for reconstructing global climate-driven total water storage changes is presented for 1923-2022. Our reconstruction exhibits superior consistency with GRACE observations compared to GRACE-REC. The reconstructed datasets reveal relative reliability and challenges in humid and arid regions.