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Noorellimia Mat Toridi on Muck Rack

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Machine-Learning Downscaling of GRACE/GRACE-FO for Basin-Scale Groundwater Storage Assessment in a Semi-Arid Basin

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By Aimrun Wayayok, Abba Ibrahim, Noorellimia Mat Toridi
| Preprints.org
You are already at the latest version The Gravity Recovery and Climate Experiment (GRACE/GRACE-FO) missions provide terrestrial water storage anomalies (TWSA) at coarse spatial resolution (300 km), limiting their application in medium-sized basins. This study develops a machine-learning framework to enhance the spatial interpretability of GRACE mascon TWSA within the 48,000 km² Hadejia-Jama’are River Basin, Nigeria.
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