Improving GNSS-R sea level determination through inverse modeling of SNR data
Journal article, 2016

This paper presents a new method for retrieving sea surface heights from Global Navigation Satellite Systems reflectometry (GNSS-R) data by inverse modeling of SNR observations from a single geodetic receiver. The method relies on a B-spline representation of the temporal sea level variations in order to account for its continuity. The corresponding B-spline coefficients are determined through a nonlinear least squares fit to the SNR data, and a consistent choice of model parameters enables the combination of multiple GNSS in a single inversion process. This leads to a clear increase in precision of the sea level retrievals which can be attributed to a better spatial and temporal sampling of the reflecting surface. Tests with data from two different coastal GNSS sites and comparison with colocated tide gauges show a significant increase in precision when compared to previously used methods, reaching standard deviations of 1.4 cm at Onsala, Sweden, and 3.1 cm at Spring Bay, Tasmania.

Sea level

Tide gauge

GNSS-R

Inverse modeling

Author

Joakim Strandberg

Chalmers, Earth and Space Sciences, Space Geodesy and Geodynamics

Thomas Hobiger

Chalmers, Earth and Space Sciences, Space Geodesy and Geodynamics

Rüdiger Haas

Chalmers, Earth and Space Sciences, Space Geodesy and Geodynamics

Radio Science

0048-6604 (ISSN)

Vol. 51 8 1286-1296

Subject Categories

Remote Sensing

Other Earth and Related Environmental Sciences

Geophysics

Oceanography, Hydrology, Water Resources

Signal Processing

Roots

Basic sciences

Infrastructure

Onsala Space Observatory

DOI

10.1002/2016RS006057

More information

Created

10/7/2017