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Joint Inversion of GNSS and GRACE for Terrestrial Water Storage Change in California
G Carlson1, S Werth1, M Shirzaei1
1Department of Geological Sciences Virginia Polytechnic and State University Blacksburg VA USA.
Summary
This study combines satellite data (GRACE) and ground measurements (GNSS) to create detailed maps of terrestrial water storage changes. The new method improves spatial resolution for better drought monitoring and water resource management.
Area of Science:
- Geodesy
- Hydrology
- Remote Sensing
Background:
- Terrestrial water storage change (∆TWS) is crucial for understanding water resources and climate trends.
- Estimating ∆TWS using Global Navigation Satellite System (GNSS) vertical displacements requires dense networks and is prone to non-hydrologic noise.
- The Gravity Recovery and Climate Experiment (GRACE) offers global ∆TWS data but with low spatial resolution.
Purpose of the Study:
- To develop a joint inversion framework combining GNSS and GRACE data for enhanced spatiotemporal ∆TWS mapping.
- To improve the accuracy and spatial resolution of ∆TWS estimates, overcoming limitations of individual methods.
- To better capture long-term trends and seasonal variations in water storage, particularly in data-rich regions like California.
Main Methods:
- Joint inversion of GNSS vertical displacement time series and GRACE ∆TWS data.
- Utilizing continuous wavelet transform for signal decomposition into temporal components (long-term and short-term).
- Accounting for observation errors, data gaps, and non-hydrologic deformation signals in the inversion process.
Main Results:
- The joint inversion framework produces ∆TWS maps with improved spatial resolution compared to GRACE alone.
- Results show regional consistency with GRACE data across various temporal scales.
- The enhanced resolution allows for better differentiation of water mass changes in specific regions, valuable for drought assessment.
Conclusions:
- The joint inversion of GNSS and GRACE data offers a powerful approach for high-resolution ∆TWS estimation.
- This method enhances our ability to monitor water resources and understand hydrological dynamics, especially in tectonically active areas.
- The improved spatiotemporal mapping aids in managing freshwater supplies under changing climate conditions and recurrent droughts.
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