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Research Article

Sequential downscaling of GRACE products to map groundwater level changes in Krishna River basin

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Pages 1846-1859 | Received 14 Apr 2022, Accepted 08 Jul 2022, Published online: 19 Aug 2022

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Vahid Nourani, Nardin Jabbarian Paknezhad, Anne Ng, Zhang Wen, Dominika Dabrowska & Selin Üzelaltınbulat. (2024) Application of the machine learning methods for GRACE data based groundwater modeling, a systematic review. Groundwater for Sustainable Development 25, pages 101113.
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Dongping Xue, Dongwei Gui, Mengtao Ci, Qi Liu, Guanghui Wei & Yunfei Liu. (2024) Spatial and temporal downscaling schemes to reconstruct high-resolution GRACE data: A case study in the Tarim River Basin, Northwest China. Science of The Total Environment 907, pages 167908.
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Muhammad Touseef, Lihua Chen, Hang Chen, Hamza Farooq Gabriel, Wenzhe Yang & Ammara Mubeen. (2023) Enhancing Streamflow Modeling by Integrating GRACE Data and Shared Socio-Economic Pathways (SSPs) with SWAT in Hongshui River Basin, China. Remote Sensing 15:10, pages 2642.
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Sarva T. Pulla, Hakan Yasarer & Lance D. Yarbrough. (2023) GRACE Downscaler: A Framework to Develop and Evaluate Downscaling Models for GRACE. Remote Sensing 15:9, pages 2247.
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Akhila Prabhakar Ram. (2022) Unsupervised Representation Learning of GRACE Improves Groundwater Predictions. Water 14:19, pages 2947.
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