Evaluating the Efficiency of Reanalysis and Remote-Sensing Based Rainfall Data Sets for Hydrological Modeling Using VIC-3L Large Scale Model (Case Study: SefidRood Catchment)

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Shayeghi A.; AZIZIAN A.; Brocca L.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2019 | Volume:15 | Issue:2 Page(s): 57-72

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Title

Evaluating the Efficiency of Reanalysis and Remote-Sensing Based Rainfall Data Sets for Hydrological Modeling Using VIC-3L Large Scale Model (Case Study: SefidRood Catchment)

Author(s)

Shayeghi A. | AZIZIAN A. | Brocca L. | Issue Writer Certificate

Keywords

RainfallQ2

Remote-Sensing TechniqueQ1

Hydrological ModelingQ1

VIC-3LQ1

RunoffQ2

Abstract

According to the quick developments of satellite-based technologies and the computer’ s computational power, several Rainfall datasets have been developed with different spatial and temporal resolutions. These datasets usually are based on Remote-Sensing Techniques or the combination of land surface models (LSMs) and general circulation models (GCMs). This research addressed the efficiency of ECMWF and PERSIAN reanalysis dataset for Hydrological Modeling using VIC-3L large-scale model over the SefidRood catchment. The results of statistical analyses at daily time scale indicated that the correlation coefficient (CC) between ECMWF and PERSIAN and ground-observed dataset is about 0. 83 and 0. 48, respectively. In addition, at monthly time scale, the performances of both Rainfall datasets are approximately the same and in most parts of the catchment with the value of CC higher than 0. 80. Hydrological analyses by VIC-3L model showed that despite having low efficiency in estimating Rainfall, the PERSIAN dataset led to better simulation of Runoff compared to ECMWF. For example, the Nash-Sutcliffe (NS) coefficient between daily and monthly simulated Runoff using PERSIAN and observed Runoff at the outlet of SefidRood catchment were about 0. 80 and 0. 88, respectively, while in the case of ECMWF these coefficients were respectively about 0. 67 and 0. 72. Moreover, by using the PERSIAN dataset, the performance of the VIC model in simulating daily and monthly peak flows increased significantly.

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APA: Copy

Shayeghi, A., AZIZIAN, A., & Brocca, L.. (2019). Evaluating the Efficiency of Reanalysis and Remote-Sensing Based Rainfall Data Sets for Hydrological Modeling Using VIC-3L Large Scale Model (Case Study: SefidRood Catchment). IRAN-WATER RESOURCES RESEARCH, 15(2 ), 57-72. SID. https://sid.ir/paper/100240/en

Vancouver: Copy

Shayeghi A., AZIZIAN A., Brocca L.. Evaluating the Efficiency of Reanalysis and Remote-Sensing Based Rainfall Data Sets for Hydrological Modeling Using VIC-3L Large Scale Model (Case Study: SefidRood Catchment). IRAN-WATER RESOURCES RESEARCH[Internet]. 2019;15(2 ):57-72. Available from: https://sid.ir/paper/100240/en

IEEE: Copy

A. Shayeghi, A. AZIZIAN, and L. Brocca, “Evaluating the Efficiency of Reanalysis and Remote-Sensing Based Rainfall Data Sets for Hydrological Modeling Using VIC-3L Large Scale Model (Case Study: SefidRood Catchment),” IRAN-WATER RESOURCES RESEARCH, vol. 15, no. 2 , pp. 57–72, 2019, [Online]. Available: https://sid.ir/paper/100240/en

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