Develop and validate a new 5-day Gravity Recovery and Climate Experiment Follow-on (GRACE-FO) mass conservation solution for early flood warning applications. Pictured is the Snapshot of Antecedent Total Water Storage as a Flood Potential Index, Developed Using the New CSR 5-Day GRACE/GRACE-FO Solutions

Personnel: Ashraf Rateb, Bridget Scanlon

The overarching goal of Project MuSiKAL is to develop Digital Twin (DT) capabilities to understand the complex interplay between data and models for coastal flooding. Main tasks include physics-based model development and data sources, digital twin development and testing, and use cases + applications.

Personnel: Alex Sun, Wonhyun Lee

An ongoing project with the TCEQ to assess the quality and quantity of stormflows for potential injection in Aquifer Storage and Recovery operations in Texas. Efforts include a reconnaissance-level estimate of the available volume of stormflows at sites across the state, accounting for water rights and instream flow requirements. Also, the quality of stormflows is presently being assessed, given the need for pretreatment of water prior to injection. This includes an evaluation of the contaminant concentrations at sites across the state, with emphasis on the relationships between watershed land cover and contaminant types. 

Personnel: John Malito, Bridget Scanlon

We are involved in a broad collaborative effort led by UT-Arlington to explore the feasibility of implementing streamflow forecasts into reservoir operations in Texas to better manage water supply during droughts.

Personnel: John Malito, Bridget Scanlon

This study aims to evaluate the transformation of wetlands in the Texas Coastal Bend Region over the last several decades in response to macroclimatic stressors with remote sensing data hosted by Google Earth Engine. We propose to harmonize historical satellite datasets (1985 – 2023) and conduct a pilot study to identify wetland areas most vulnerable to climate-driven stress.