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@NCSGgroup NCSG -- Numerical Computation and Satellite Geodesy research team

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    12 repositories

    • SAGEA-fluid

      Public
      SAGEA-fluid extends SaGEA to include self-attraction and loading effects, geocenter motion, and Earth rotation effects (i.e., polar motion and length-of-day). I…
      Python
      •
      MIT License
      •0•5•0•0•Updated Apr 17, 2026Apr 17, 2026

    • PyTSCL-TWS

      Public
      A Python implementation of Two-Stage Covariance Learning (TSCL) for efficient emulation of GRACE(-FO) terrestrial water storage noise covariance.
      Python
      •0•0•0•0•Updated Apr 8, 2026Apr 8, 2026

    • PyHawk

      Public
      PyHawk: an effective solver for ll-SST satellite gravity missions
      Python
      •
      MIT License
      •3•17•0•0•Updated Apr 3, 2026Apr 3, 2026

    • PyGWater

      Public
      An open-source multi-basis toolbox for estimating terrestrial water storage from GNSS surface deformation
      Python
      •
      MIT License
      •0•1•0•0•Updated Feb 11, 2026Feb 11, 2026

    • .github

      Public
      Portal of NCSG
      0•0•0•0•Updated Feb 3, 2026Feb 3, 2026

    • PyGone

      Public
      A toolbox exclusively for GRACE(-FO) Level-1A data processing, which currently supports (1) AOD modeling and (2) attitude determination.
      Python
      •
      MIT License
      •0•0•0•0•Updated Jan 30, 2026Jan 30, 2026

    • PyGLDA

      Public
      A Python platform for assimilating GRACE into hydrological model. It is maintained in the other repository: https://github.com/AAUGeodesyGroup/PyGLDA
      0•0•0•0•Updated Jan 28, 2026Jan 28, 2026

    • NCSG-Discussion

      Public
      Welcome to leave your question, query or comment here.
      0•0•0•0•Updated Jan 28, 2026Jan 28, 2026

    • SaGEA

      Public
      A Python toolbox for comprehensive post-processing and error assessment of GRACE and GRACE-FO based mass change
      Python
      •
      MIT License
      •3•25•0•0•Updated Jan 26, 2026Jan 26, 2026

    • VariableScaleFilter

      Public
      A novel and efficient spatial smoother to de-noise GRACE with the spatial resolution being well preserved
      Python
      •
      MIT License
      •1•0•0•0•Updated Sep 20, 2023Sep 20, 2023

    • NCSGgroup.github.io

      Public
      JavaScript
      •0•0•0•0•Updated Mar 19, 2023Mar 19, 2023

    • en

      Public
      JavaScript
      •0•0•0•0•Updated Sep 18, 2022Sep 18, 2022
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