Estimation of tidally influenced estuarine river discharge from space using along-track InSAR technology

A model-based feasibility study

S. Grünler, Roland Romeiser, D. Stammer

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

We discuss the potential of the along-track interferometric synthetic aperture radar (along-track InSAR, ATI) technique for monitoring tidally influenced estuarine river discharge from space. To observe river discharge using ATI, surface velocity measurements need to be converted to depth-integrated velocity to apply empirical discharge models and, possibly aliased, tidal signals need to be removed. Problems may also arise from the fact that ATI velocity observations generally are not in the along-flow direction, and from uncertainties in applied empirical discharge models. To quantify the degree to which river discharge can be inferred from ATI data, output from a high-resolution numerical model of the Elbe estuary serves here as the basis for simulated observations of a TerraSAR-X-like satellite mission as well as simulated ground truth against which retrieved transports are tested. Results show that with only the additional information of the river widths, instantaneous discharge estimates can be obtained from ATI-derived velocities. To retrieve mean discharges from a number of instantaneous measurements at different tidal phases, we fit time series of the tidal components M2 and K1 to the data by amplitude and phase adjustment and subtract them. We demonstrate the successful application of such a mean-value estimator for calculating net discharges. A simulated TerraSAR-X sampling scenario provides discharge estimates for the Elbe estuary with accuracies in the range of 20-30%, comparable in quality to commonly used ground-based noncontact discharge measurements. The proposed satellite-based monitoring approach, therefore, provides a promising new method for river discharge estimates in estuaries, especially in regions where onsite measurements are not possible or data are not accessible.

Original languageEnglish (US)
Pages (from-to)3679-3693
Number of pages15
JournalJournal of Geophysical Research C: Oceans
Volume118
Issue number7
DOIs
StatePublished - 2013

Fingerprint

feasibility study
river discharge
Discharge (fluid mechanics)
rivers
Estuaries
TerraSAR-X
estuaries
estuary
Satellites
Monitoring
Surface measurement
Synthetic aperture radar
satellite mission
Velocity measurement
monitoring
Numerical models
Time series
estimates
Rivers
synthetic aperture radar

Keywords

  • along-track InSAR
  • remote sensing of estuarine river discharge
  • TerraSAR-X

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Oceanography

Cite this

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title = "Estimation of tidally influenced estuarine river discharge from space using along-track InSAR technology: A model-based feasibility study",
abstract = "We discuss the potential of the along-track interferometric synthetic aperture radar (along-track InSAR, ATI) technique for monitoring tidally influenced estuarine river discharge from space. To observe river discharge using ATI, surface velocity measurements need to be converted to depth-integrated velocity to apply empirical discharge models and, possibly aliased, tidal signals need to be removed. Problems may also arise from the fact that ATI velocity observations generally are not in the along-flow direction, and from uncertainties in applied empirical discharge models. To quantify the degree to which river discharge can be inferred from ATI data, output from a high-resolution numerical model of the Elbe estuary serves here as the basis for simulated observations of a TerraSAR-X-like satellite mission as well as simulated ground truth against which retrieved transports are tested. Results show that with only the additional information of the river widths, instantaneous discharge estimates can be obtained from ATI-derived velocities. To retrieve mean discharges from a number of instantaneous measurements at different tidal phases, we fit time series of the tidal components M2 and K1 to the data by amplitude and phase adjustment and subtract them. We demonstrate the successful application of such a mean-value estimator for calculating net discharges. A simulated TerraSAR-X sampling scenario provides discharge estimates for the Elbe estuary with accuracies in the range of 20-30{\%}, comparable in quality to commonly used ground-based noncontact discharge measurements. The proposed satellite-based monitoring approach, therefore, provides a promising new method for river discharge estimates in estuaries, especially in regions where onsite measurements are not possible or data are not accessible.",
keywords = "along-track InSAR, remote sensing of estuarine river discharge, TerraSAR-X",
author = "S. Gr{\"u}nler and Roland Romeiser and D. Stammer",
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language = "English (US)",
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T2 - A model-based feasibility study

AU - Grünler, S.

AU - Romeiser, Roland

AU - Stammer, D.

PY - 2013

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N2 - We discuss the potential of the along-track interferometric synthetic aperture radar (along-track InSAR, ATI) technique for monitoring tidally influenced estuarine river discharge from space. To observe river discharge using ATI, surface velocity measurements need to be converted to depth-integrated velocity to apply empirical discharge models and, possibly aliased, tidal signals need to be removed. Problems may also arise from the fact that ATI velocity observations generally are not in the along-flow direction, and from uncertainties in applied empirical discharge models. To quantify the degree to which river discharge can be inferred from ATI data, output from a high-resolution numerical model of the Elbe estuary serves here as the basis for simulated observations of a TerraSAR-X-like satellite mission as well as simulated ground truth against which retrieved transports are tested. Results show that with only the additional information of the river widths, instantaneous discharge estimates can be obtained from ATI-derived velocities. To retrieve mean discharges from a number of instantaneous measurements at different tidal phases, we fit time series of the tidal components M2 and K1 to the data by amplitude and phase adjustment and subtract them. We demonstrate the successful application of such a mean-value estimator for calculating net discharges. A simulated TerraSAR-X sampling scenario provides discharge estimates for the Elbe estuary with accuracies in the range of 20-30%, comparable in quality to commonly used ground-based noncontact discharge measurements. The proposed satellite-based monitoring approach, therefore, provides a promising new method for river discharge estimates in estuaries, especially in regions where onsite measurements are not possible or data are not accessible.

AB - We discuss the potential of the along-track interferometric synthetic aperture radar (along-track InSAR, ATI) technique for monitoring tidally influenced estuarine river discharge from space. To observe river discharge using ATI, surface velocity measurements need to be converted to depth-integrated velocity to apply empirical discharge models and, possibly aliased, tidal signals need to be removed. Problems may also arise from the fact that ATI velocity observations generally are not in the along-flow direction, and from uncertainties in applied empirical discharge models. To quantify the degree to which river discharge can be inferred from ATI data, output from a high-resolution numerical model of the Elbe estuary serves here as the basis for simulated observations of a TerraSAR-X-like satellite mission as well as simulated ground truth against which retrieved transports are tested. Results show that with only the additional information of the river widths, instantaneous discharge estimates can be obtained from ATI-derived velocities. To retrieve mean discharges from a number of instantaneous measurements at different tidal phases, we fit time series of the tidal components M2 and K1 to the data by amplitude and phase adjustment and subtract them. We demonstrate the successful application of such a mean-value estimator for calculating net discharges. A simulated TerraSAR-X sampling scenario provides discharge estimates for the Elbe estuary with accuracies in the range of 20-30%, comparable in quality to commonly used ground-based noncontact discharge measurements. The proposed satellite-based monitoring approach, therefore, provides a promising new method for river discharge estimates in estuaries, especially in regions where onsite measurements are not possible or data are not accessible.

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