Dataset for Daily Regional Gravity Field Estimation Using Line-of-Sight Gravity Differences: Case Studies of the 2020 Bangladesh Flood and 2021 Australian Flood

This dataset supports the study <i>“</i>Daily Regional Gravity Field Estimation Using GRACE Follow-On Line-of-Sight Gravity Differences<i>”</i>. The dataset includes the results from closed-loop simulations and real-world case studies used to validate a method for estimating daily regional gravity fields. The method leverages Line-of-Sight Gravity Difference (LGD) measurements from the GRACE Follow-On mission, combined with Slepian and B-spline basis functions for spatial and temporal parameterizations, respectively.The dataset is organized into two main components:<b>Closed-Loop Simulation Data</b>: Equivalent water height from the Slepian expansion of GLDAS soil moisture (not the full-resolution gridded data) and their corresponding estimates (with errors).<b>Case Study Data</b>: Gravity field solutions for the 2020 Bangladesh flood and the 2021 Australian flood.<b>Usage Notes:</b><br>The dataset is provided in NetCDF format with accompanying metadata for easy integration into existing workflows. Researchers can use this dataset for further development of satellite gravimetry methods or comparative analysis of hydrological events.