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Article

The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration

1
Department of Civil and Environmental Engineering, Northeastern University, Boston, MA 02215, USA
2
Department of Marine and Environmental Sciences, Northeastern University, Boston, MA 02215, USA
3
Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA 01003, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(19), 3241; https://doi.org/10.3390/rs12193241
Received: 24 August 2020 / Revised: 24 September 2020 / Accepted: 3 October 2020 / Published: 6 October 2020
(This article belongs to the Special Issue Remote Sensing and Modeling of Land Surface Water)
The Surface Water and Ocean Topography (SWOT) satellite mission, expected to launch in 2022, will enable near global river discharge estimation from surface water extents and elevations. However, SWOT’s orbit specifications provide non-uniform space–time sampling. Previous studies have demonstrated that SWOT’s unique spatiotemporal sampling has a minimal impact on derived discharge frequency distributions, baseflow magnitudes, and annual discharge characteristics. In this study, we aim to extend the analysis of SWOT’s added value in the context of hydrologic model calibration. We calibrate a hydrologic model using previously derived synthetic SWOT discharges across 39 gauges in the Ohio River Basin. Three discharge timeseries are used for calibration: daily observations, SWOT temporally sampled, and SWOT temporally sampled including estimated uncertainty. Using 10,000 model iterations to explore predefined parameter ranges, each discharge timeseries results in similar optimal model parameters. We find that the annual mean and peak flow values at each gauge location from the optimal parameter sets derived from each discharge timeseries differ by less than 10% percent on average. Our findings suggest that hydrologic models calibrated using discharges derived from SWOT’s non-uniform space–time sampling are likely to achieve results similar to those based on calibrating with in situ daily observations. View Full-Text
Keywords: hydrologic modeling; calibration; discharge; SWOT; remote sensing; spatiotemporal sampling hydrologic modeling; calibration; discharge; SWOT; remote sensing; spatiotemporal sampling
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MDPI and ACS Style

Nickles, C.; Beighley, E.; Feng, D. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration. Remote Sens. 2020, 12, 3241. https://doi.org/10.3390/rs12193241

AMA Style

Nickles C, Beighley E, Feng D. The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration. Remote Sensing. 2020; 12(19):3241. https://doi.org/10.3390/rs12193241

Chicago/Turabian Style

Nickles, Cassandra; Beighley, Edward; Feng, Dongmei. 2020. "The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration" Remote Sens. 12, no. 19: 3241. https://doi.org/10.3390/rs12193241

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