Evaluation of Satellite and Gauge-Based Precipitation Products through Hydrologic Simulation in Tigris River Basin under Data-Scarce Environment
Publication: Journal of Hydrologic Engineering
Volume 24, Issue 3
Abstract
This study investigates four widely used satellite and gauged-based precipitation products for hydrological evaluation in the poorly gauged Tigris River basin (TRB), with an area of , using the Soil and Water Assessment Tool (SWAT) watershed model. The multiple precipitation data sources (PDSs) evaluated in this study include Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), Multisource Weighted-Ensemble Precipitation (MSWEP), Asian Precipitation Highly Resolved Observational Data Integration towards the Evaluation of water resources project (APHRODITE), and National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) data. The SWAT model was calibrated using three approaches to identify more realistic parameters. Overall, APHRODITE could capture the spatiotemporal distributions of daily precipitation with a correlation coefficient of 0.65, root-mean square error of 0.62 mm, and percent bias of 19.1%. In addition, APHRODITE also captured the monthly streamflow with reasonably accuracy for selected streamflow stations in the TRB with mean Nash-Sutcliffe efficiency of . Conversely, MSWEP overestimated and CPC underestimated the observed mean climatology, respectively, and had similar effects on monthly streamflow simulations. Among all the selected precipitation products, the relative performance of CPC is poor in comparison to other data sets.
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Acknowledgments
The authors would like acknowledge the Higher Committee for Education Development, Iraq, for sponsoring this study. This study was supported by the National Science Foundation (NSF) Award No. 1653841. We would also like to extend our gratitude to the editor and two anonymous reviewers for their valuable comments that helped us to improve the quality of our manuscript.
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Journal of Hydrologic Engineering
Volume 24 • Issue 3 • March 2019
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©2018 American Society of Civil Engineers.
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Received: Jul 5, 2017
Accepted: Aug 9, 2018
Published online: Dec 21, 2018
Published in print: Mar 1, 2019
Discussion open until: May 21, 2019
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