<ul><li>Long-term groundwater level (GWL) measurement is vital for effective policymaking and recharge estimation.</li><li>A Machine Learning model is developed to mitigate data gaps and accurately predict maximum and minimum GWL.</li><li>An Upsampling Model is trained to produce high-resolution GWLs using low-resolution GLDAS data as input.</li><li>The approach successfully upscales GLDAS data, allowing high-resolution recharge estimations and proactive resource management.</li></ul>

GroundHog: Revolutionizing GLDAS Groundwater Storage Downscaling for Enhanced Recharge Estimation in Bangladesh

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