Using Downscaled GRACE Mascon Data to Assess Total Water Storage in Mississippi Alluvial Plain Aquifer

The importance of high-resolution and continuous hydrologic data for monitoring predicting water levels is crucial sustainable management. Monitoring Total Water Storage (TWS) over large areas by using satellite images such as Gravity Recovery Climate Experiment (GRACE) with coarse resolution (1°) acceptable. However, TWS changes a small area challenging. In this study, we used the Random Forest model (RFM) to spatially downscale GRACE mascon image April 2020 from 0.5° ~5 km. We initially eight different physical hydrological parameters in finally four most significant them final output. executed RFM Mississippi Alluvial Plain. validating R2 each was 0.88. Large RMSE MAE are indicative good fit accurate predictions RFM. result research aligns reported depletion central Delta area. Therefore, appropriate input model, can provide more beneficial that be activities groundwater management at sub-county-level scale Delta.