I will downscale the grace for groundwater assessment

As we know GRACE Satellite offers global coverage with monthly temporal resolution, enabling scientists to track long-term water trends, particularly in data-scarce regions. TWS from GRACE represents the total amount of water stored in the form of glaciers, snow/ice, rivers, lakes/reservoirs, vegetation canopy, soil moisture, and groundwater (Famiglietti, 2004). Despite its groundbreaking contributions, GRACE data come with a significant limited spatial resolution (0.25° x 0.25° or even coarser) (Sahour, 2020). This scale is too broad for regional or local water management applications, where decisions often depend on much finer spatial details. Therefore, downscaling techniques are critical for transforming GRACE data into higher-resolution estimates that can support decision-making at basin or sub-basin levels (Long et al., 2013). Statistical downscaling techniques have been widely applied, employing a variety of algorithms that range from simple linear regression to more sophisticated nonlinear machine learning (ML) methods (Ali et al., 2021).

In short, we will use the GRACE satellite imagery to downscale GRACE to a very fine resolution based on your requirements.