Estimation of tidally influenced estuarine river discharge from space using along‐track InSAR technology: A model‐based feasibility study. Issue 7 (30th July 2013)
- Record Type:
- Journal Article
- Title:
- Estimation of tidally influenced estuarine river discharge from space using along‐track InSAR technology: A model‐based feasibility study. Issue 7 (30th July 2013)
- Main Title:
- Estimation of tidally influenced estuarine river discharge from space using along‐track InSAR technology: A model‐based feasibility study
- Authors:
- Grünler, S.
Romeiser, R.
Stammer, D. - Abstract:
- Abstract : [1] 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 M 2 and K 1 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 accuraciesAbstract : [1] 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 M 2 and K 1 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. Key Points: Estimation of river discharge using along‐track InSAR current measurements Simulations of observations of a TerraSAR‐X‐like satellite mission Estimation of total global annual mean river freshwater input into the ocean … (more)
- Is Part Of:
- Journal of geophysical research. Volume 118:Issue 7(2013:Jul.)
- Journal:
- Journal of geophysical research
- Issue:
- Volume 118:Issue 7(2013:Jul.)
- Issue Display:
- Volume 118, Issue 7 (2013)
- Year:
- 2013
- Volume:
- 118
- Issue:
- 7
- Issue Sort Value:
- 2013-0118-0007-0000
- Page Start:
- 3679
- Page End:
- 3693
- Publication Date:
- 2013-07-30
- Subjects:
- remote sensing of estuarine river discharge -- along‐track InSAR -- TerraSAR‐X
Oceanography -- Periodicals
551.4605 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2169-9291 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/jgrc.20269 ↗
- Languages:
- English
- ISSNs:
- 2169-9275
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4995.005000
British Library DSC - BLDSS-3PM
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