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@ARTICLE{2026EaFut..1406825Y,
       author = {{Yan}, Zhengwen and {Ran}, Jiangjun and {Chen}, Jianli and {Lasser}, Martin and {Smith}, Patrick and {Zhang}, Yu and {Massotti}, Luca},
        title = "{Breaking the Temporal Resolution Barrier: Projected Performance of Hybrid Gravity Satellite Ensemble by the Early 2030s}",
      journal = {Earth's Future},
     keywords = {satellite gravimetry, GRACE, temporal gravity field, future gravity satellite missions, high temporal resolution, numerical closed-loop simulation},
         year = 2026,
        month = mar,
       volume = {14},
       number = {3},
          eid = {e2025EF006825},
        pages = {e2025EF006825},
     abstract = "{Limitations in the temporal resolution of contemporary gravity satellite
        missions hinder the precise monitoring of rapid Earth surface
        mass changes. By the early 2030s, unprecedented high-temporal
        monitoring of Earth's dynamic mass redistribution will be
        available using the temporal gravity field derived from the
        Hybrid Gravity Satellite Ensemble (referred to as the ``HGSE''
        in this study), which contains GRACE-FO, ChiGaM, TIANQIN-2,
        GRACE-C, and NGGM. This paper proposes a Hybrid-Augmented
        Resolution Dealiasing (HARD) algorithm that utilizes a sliding
        window technique to co-estimate 3-day low-degree and daily high-
        degree spherical harmonic coefficients. The HARD algorithm
        reduces temporal aliasing errors by 18.4\%─30.7\% compared to
        conventional processing strategies. Based on predefined noise
        levels for each satellite, closed-loop simulations demonstrate
        that the HGSE yields daily gravity field solutions (with a
        maximum degree and order of 60) that can effectively reduce
        noise by approximately 76.2\% in long-term trends and 39.3\% in
        annual amplitudes compared to classical monthly solutions.
        Applications in terrestrial water storage (TWS) change, glacier
        mass change, and co-seismic deformation reveal significant
        improvements: 39.4\% enhanced TWS signal recovery in large river
        basins, 21.2\% higher accuracy in monitoring Tibetan Plateau
        glacier mass variation, and 69.4\% superior co-seismic signal
        recovery for megathrust earthquakes. These findings underscore
        the potential of HGSE to advance high-frequency gravity field
        monitoring, offering critical references for the performance
        analysis of future gravity satellite missions monitoring the
        Earth's dynamic system processes on a daily scale.}",
          doi = {10.1029/2025EF006825},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026EaFut..1406825Y},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}