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Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset.

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Shipborne Global Navigation Satellite System (GNSS) measurements can monitor atmospheric water vapor. This study optimizes GNSS data processing models for improved accuracy in estimating Zenith Wet Delay (ZWD) from moving platforms.

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Area of Science:

  • Geodesy
  • Atmospheric Science
  • Meteorology

Background:

  • Atmospheric water vapor is crucial for climate and weather studies.
  • Global Navigation Satellite System (GNSS) measurements are a key tool for monitoring water vapor, specifically the Zenith Wet Delay (ZWD).
  • Shipborne GNSS data offers expanded oceanic coverage but presents processing challenges due to antenna movement, complicating the separation of antenna height and ZWD.

Purpose of the Study:

  • To investigate the impact of different observation modeling and processing parameterizations on the estimation of antenna height and ZWD from simulated shipborne GNSS measurements.
  • To identify optimal processing strategies for enhancing the accuracy of ZWD retrieval from moving platforms.

Main Methods:

  • Development and utilization of a custom GNSS simulator for generating realistic shipborne measurement scenarios.
  • Testing various processing models, including elevation cut-off angles, elevation weighting functions, and ZWD random walk parameters.
  • Evaluating different simulation configurations, such as satellite constellations, measurement sampling rates, and antenna locations.

Main Results:

  • Recommended processing parameters include a 3° elevation cut-off angle and a square root of sine elevation weighting function.
  • An optimal random walk for ZWD was determined to be approximately 5 mm·h-1/2, particularly effective for mid-latitudes.
  • The study demonstrates that specific modeling choices significantly influence the accuracy of ZWD estimation from shipborne GNSS data.

Conclusions:

  • Optimized processing models are essential for reliable ZWD estimation from shipborne GNSS data.
  • The recommended parameters provide a robust framework for improving atmospheric water vapor monitoring over oceans.
  • These findings will facilitate more accurate climatological and meteorological studies using systematic analysis of shipborne GNSS measurements.