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

Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model

1
Department of Civil, Environmental and Infrastructure Engineering, George Mason University, University Drive, MS 6C1, Fairfax, VA 4400, USA
2
Occoquan Watershed Monitoring Laboratory, Department of Civil and Environmental Engineering, Virginia Tech, Prince William Street, Manassas, VA 9408, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(22), 3728; https://doi.org/10.3390/rs12223728
Received: 25 September 2020 / Revised: 7 November 2020 / Accepted: 12 November 2020 / Published: 13 November 2020
(This article belongs to the Special Issue Remote Sensing and Modeling of Land Surface Water)
This study investigated the propagation of errors in input satellite-based precipitation products (SPPs) on streamflow and water quality indicators simulated by a hydrological model in the Occoquan Watershed, located in the suburban Washington, D.C. area. A dense rain gauge network was used as reference to evaluate three SPPs which are based on different retrieval algorithms. A Hydrologic Simulation Program-FORTRAN (HSPF) hydrology and water quality model was forced with the three SPPs to simulate output of streamflow (Q), total suspended solids (TSS), stream temperature (TW), and dissolved oxygen (DO). Results indicate that the HSPF model may have a dampening effect on the precipitation-to-streamflow error. The bias error propagation of all three SPPs showed a positive dependency on basin scale for streamflow and TSS, but not for TW and DO. On a seasonal basis, bias error propagation varied by product, with larger values generally found in fall and winter. This study demonstrated that the spatiotemporal variability of SPPs, along with their algorithms to estimate precipitation, have an influence on water quality simulations in a hydrologic model. View Full-Text
Keywords: satellite-based precipitation products; CMORPH; PERSIANN; TMPA; water quality; modeling; HSPF satellite-based precipitation products; CMORPH; PERSIANN; TMPA; water quality; modeling; HSPF
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MDPI and ACS Style

Solakian, J.; Maggioni, V.; Godrej, A. Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model. Remote Sens. 2020, 12, 3728. https://doi.org/10.3390/rs12223728

AMA Style

Solakian J, Maggioni V, Godrej A. Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model. Remote Sensing. 2020; 12(22):3728. https://doi.org/10.3390/rs12223728

Chicago/Turabian Style

Solakian, Jennifer, Viviana Maggioni, and Adil Godrej. 2020. "Investigating the Error Propagation from Satellite-Based Input Precipitation to Output Water Quality Indicators Simulated by a Hydrologic Model" Remote Sensing 12, no. 22: 3728. https://doi.org/10.3390/rs12223728

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