Evaluation of Satellite and Gauge-Based Precipitation Products through Hydrologic Simulation in Tigris River Basin under Data-Scarce Environment

Ajaaj, Aws A.; Mishra, Ashok K.; Khan, A. A.

doi:10.1061/(asce)he.1943-5584.0001737

Cited by 13 publications

(8 citation statements)

References 64 publications

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“…However, CPC tends to underestimate the intensity and overestimate the frequency of rainfall for light and heavy rain, although light rain is more underestimated. These results are consistent with those reported by Ajaaj et al (2019). The differences in the capture of different magnitude rainfall intensities may potentially influence hydrologic process and forecasting.…”

Section: Comparison Of Precipitation Products In Terms Of Rainfall Evsupporting

confidence: 92%

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Pang¹,

Zhang²,

Xu³

et al. 2020

Preprint

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Abstract. Temporal and spatial precipitation information is key to conducting effective hydrological process simulation and forecasting. Herein, we implemented a comprehensive evaluation of three selected precipitation products in the Jiang River Watershed (JRW) located in southwest China. A number of indices were used to statistically analyze the differences between two open-access precipitation products (OPPs), i.e. Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS) and CPC-Global (CPC), and the rain gauge (Gauge). The three products were then categorized into sub-basins to drive SWAT simulations. The results show: (1) the three products are highly consistent in temporal variation on a monthly scale, yet distinct on a daily scale. CHIRPS is characterized by overestimation of light rain, underestimation of heavy rain, and a high probability of false alarm. CPC generally underestimates rainfall of all magnitudes; (2) All three products satisfactorily reproduce the stream discharges at the JRW outlet with better performance than the Gauge model. On a temporal scale, the OPPs are inferior with respect to capturing flood peak, yet superior at describing other hydrograph features, e.g. rising and falling processes and base flow. On a spatial scale, CHIRPS offers the advantage of deriving smooth, distributed precipitation and runoff due to its high resolution; (3) The water balance components derived from SWAT models with equal simulated streamflow discharges are remarkably different between the three precipitation inputs. The precipitation spatial pattern results in an increasing surface flow trend from upstream to downstream. The results of this study demonstrate that evaluating precipitation products using only streamflow simulation accuracy will conceal the dissimilarities between these products. Hydrological models alter hydrologic mechanisms by adjusting calibrated parameters. Specifically, different precipitation detection methods lead to temporal and spatial variation of water balance components, demonstrating the complexity in describing natural hydrologic processes.

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Section: Comparison Of Precipitation Products In Terms Of Rainfall Evsupporting

confidence: 92%

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Pang¹,

Zhang²,

Xu³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

Section: Comparison Of Precipitation Products In Terms Of Rainfall Ev...supporting

confidence: 92%

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Pang

Zhang

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. Temporal and spatial precipitation information is key to conducting effective hydrological-process simulation and forecasting. Herein, we implemented a comprehensive evaluation of three selected precipitation products in the Jialing River watershed (JRW) located in southwestern China. A number of indices were used to statistically analyze the differences between two open-access precipitation products (OPPs), i.e., Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) and Climate Prediction Center Gauge-Based Analysis of Global Daily Precipitation (CPC), and the rain gauge (Gauge). The three products were then categorized into subbasins to drive SWAT simulations. The results show the following. (1) The three products are highly consistent in temporal variation on a monthly scale yet distinct on a daily scale. CHIRPS is characterized by an overestimation of light rain, underestimation of heavy rain, and high probability of false alarm. CPC generally underestimates rainfall of all magnitudes. (2) Both OPPs satisfactorily reproduce the stream discharges at the JRW outlet with slightly worse performance than the Gauge model. Model with CHIRPS as inputs performed slightly better in both model simulation and fairly better in uncertainty analysis than that of CPC. On a temporal scale, the OPPs are inferior with respect to capturing flood peak yet superior at describing other hydrograph features, e.g., rising and falling processes and baseflow. On a spatial scale, CHIRPS offers the advantage of deriving smooth, distributed precipitation and runoff due to its high resolution. (3) The water balance components derived from SWAT models with equal simulated streamflow discharges are remarkably different between the three precipitation inputs. The precipitation spatial pattern results in an increasing surface flow trend from upstream to downstream. The results of this study demonstrate that with similar performance in simulating watershed runoff, the three precipitation datasets tend to conceal the identified dissimilarities through hydrological-model parameter calibration, which leads to different directions of hydrologic processes. As such, multiple-objective calibration is recommended for large and spatially resolved watersheds in future work. The main findings of this research suggest that the features of OPPs facilitate the widespread use of CHIRPS in extreme flood events and CPC in extreme drought analyses in future climate.

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“…Because of its accuracy, the SWAT model has been widely used to achieve convincing results. In the large-scale watershed, Ajaaj et al [59] used SWAT model evaluated the accuracy of four widely used satellite and gauged-based precipitation products in the poorly gauged Tigris River basin, Middle East. Tang et al [60] used the SWAT model to evaluate the suitability of five widely used global high-resolution precipitation products in Lancang river basin, China.…”

Section: Discussionmentioning

confidence: 99%

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

Wang

Yao

Liu

et al. 2019

Water

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Runoff erosion capacity has significant effects on the spatial distribution of soil erosion and soil losses. But few studies have been conducted to evaluate these effects in the Loess Plateau. In this study, an adjusted SWAT model was used to simulate the hydrological process of the Xihe River basin from 1993 to 2012. The spatial variabilities between runoff erosion capacity and underlying surface factors were analyzed by combining spatial gradient analysis and GWR (Geographically Weighted Regression) analysis. The results show that the spatial distribution of runoff erosion capacity in the studying area has the following characteristics: strong in the north, weak in the south, strong in the west, and weak in the east. Topographic factors are the dominant factors of runoff erosion in the upper reaches of the basin. Runoff erosion capacity becomes stronger with the increase of altitude and gradient. In the middle reaches area, the land with low vegetation coverage, as well as arable land, show strong runoff erosion ability. In the downstream areas, the runoff erosion capacity is weak because of better underlying surface conditions. Compared with topographic and vegetation factors, soil factors have less impact on runoff erosion. The red clay and mountain soil in this region have stronger runoff erosion capacities compared with other types of soils, with average runoff modulus of 1.79 × 10−3 m3/s·km2 and 1.68 × 10−3 m3/s·km2, respectively, and runoff erosion power of 0.48 × 10−4 m4/s·km2 and 0.34 × 10−4 m4/s·km2, respectively. The runoff erosion capacity of the alluvial soil is weak, with an average runoff modulus of 0.96 × 10−3 m3/s·km2 and average erosion power of 0.198 × 10−4 m4/s·km2. This study illustrates the spatial distribution characteristics and influencing factors of hydraulic erosion in the Xihe River Basin from the perspective of energy. It contributes to the purposeful utilization of water and soil resources in the Xihe River Basin and provides a theoretical support for controlling the soil erosion in the Hilly-gully region of the Loess Plateau.

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Evaluation of Satellite and Gauge-Based Precipitation Products through Hydrologic Simulation in Tigris River Basin under Data-Scarce Environment

Cited by 13 publications

References 64 publications

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Hydrological evaluation of open-access precipitation data using SWAT at multiple temporal and spatial scales

Spatial Variabilities of Runoff Erosion and Different Underlying Surfaces in the Xihe River Basin

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