Oct 2026· GRACE/GRACE-FO Science Team Meeting 2026· 0 citations
Abstract
Changes in terrestrial water storage (TWS) can be observed globally by the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) mission, whereas microwave remote sensing primarily provides information on near-surface soil moisture. However, obtaining reliable information on water storage changes in deeper soil layers remains a challenge. A simple yet effective approach is the use of an exponential filter, which approximates deeper soil moisture by accounting for the delayed response to surface soil water variations. Yet, constraining these deeper storage dynamics at the global scale remains difficult. GRACE-derived TWS offers a global observational constraint on integrated subsurface water storage variations.This study utilises soil moisture products from the European Space Agency Climate Change Initiative (ESA CCI), including both surface and root zone soil moisture, together with daily GRACE-derived TWS to assess the potential of GRACE for constraining exponential depth extrapolation of satellite soil moisture. Focusing on detrended, deseasonalised sub-seasonal signals, we compare the agreement between daily GRACE-derived TWS and exponentially filtered soil moisture for different soil moisture integration depths. This allows us to assess how well the observed and depth-extrapolated soil moisture dynamics represent sub-seasonal TWS variability and to identify regions where storage dynamics beyond the represented soil depth may be relevant. The results demonstrate the potential of GRACE as an observational constraint for depth-extrapolating satellite soil moisture and reveal spatial differences in the relevance of deeper subsurface storage dynamics.
Surface soil moisture (SM) and freeze–thaw (FT) state are key components of the terrestrial system and are recognized as Essential Climate Variables due to their influence on hydrological, ecological, and energy exchange processes. While in situ observation networks provide accurate point-based measurements, their spar...
Victoria Halvorson, E. Deeb, C. Wagner et al.· 0 citations
Estimation of surface soil moisture (SSM) is fundamental for hydrological monitoring and agricultural management, particularly in drought-prone regions such as central–northeastern Argentina. Data assimilation provides a robust approach for estimating SSM by integrating land surface models with remote sensing data. S...
F. Obregon, M. Lucini, Omar V. Müller et al.· Journal of Hydrometeorology· 0 citations
Soil Moisture (SM) represents the temporary storage of water within the shallow layers of the Earth’s upper surface and plays a key role in a wide range of applications, including hydrological processes, numerical weather prediction models and landslide prediction. This study evaluates the comparability of multiple sat...
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Soil moisture is critical to the ecological stability and hydrological cycle. Optical remote sensing is severely constrained by cloud cover, snow, and frozen soil in alpine regions, hindering long-term soil moisture monitoring. Taking Nagqu region in the Tibetan Plateau as the study area, this paper constructs a pure m...