Comparison and evaluation of gridded precipitation datasets for streamflow simulation in data scarce watersheds of Ethiopia

Musie, Mulugeta; Sen, Sumit; Srivastava, Puneet

doi:10.1016/j.jhydrol.2019.124168

Cited by 80 publications

(57 citation statements)

References 54 publications

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“…They found that CFSR overestimated precipitation and produced unsatisfactory streamflow simulation, which was consistent with our study. Similar overestimation in CFSR precipitation datasets has also been reported in many other regions like Ethiopia [6,59],…”

Section: Discussionsupporting

confidence: 85%

“…Singapore [60], Xiang river basin and Qu river basin in China [61] and Mekong river basin [62], with limited research reporting much better performances of CFSR precipitation datasets in streamflow simulations [63]. In contrast, Musie found that the CFSR product underestimated precipitation amounts in the Meki watershed of Ethiopia [59]. That results indicated that CFSR precipitation data have large uncertainty and should be used with caution despite its global availability and free access.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Open Access Precipitation and Temperature Products Using SWAT in Shiyang River Basin, Northwest China

Zhang¹,

Su²,

Ayantobo³

et al. 2020

Preprint

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Precipitation and temperature are significant inputs for hydrological models. Currently, many satellite and reanalysis precipitation and air temperature datasets exist at different spatio-temporal resolutions at a global and quasi-global scale. This study evaluated the performances of three open-access precipitation datasets (gauge-adjusted research-grade Global Satellite Mapping of Precipitation (GSMaP_Gauge), Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), Climate Forecast System Reanalysis(CFSR)) and CFSR air temperature dataset in driving the Soil and Water Assessment Tool (SWAT) model required for the monthly simulation of streamflow in the upper Shiyang River Basin of northwest China. After a thorough comparison of six model scenarios with different combinations of precipitation and air temperature inputs, the following conclusions were drawn: (1) Although the precipitation products had similar spatial patterns, however, CFSR differs significantly by showing an overestimation; (2) CFSR air temperature yielded almost identical performance in the streamflow simulation than the measured air temperature from gauge stations; (3) among the three open-access precipitation datasets, CHIRPS produced the best performance. These results suggested that the CHIRPS precipitation and CFSR air temperature datasets which are available at high spatial resolution (0.05), could be a promising alternative open-access data source for streamflow simulation in the case of limited access to desirable gauge data in the data-scarce area.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Evaluation of Open Access Precipitation and Temperature Products Using SWAT in Shiyang River Basin, Northwest China

Zhang¹,

Su²,

Ayantobo³

et al. 2020

Preprint

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“…The total area of Lake Ziway basin including the lake is about 7311 km 2 and it is located between 7°22′12″ N to 8°28′12″ N latitude and 38°12′36″ E to 39°24′36″ E longitude ( Figure 1) [46]. The temporal and spatial variability of the climate in Lake Ziway basin is high.…”

Section: Study Areamentioning

confidence: 99%

Hydrologic Responses to Climate Variability and Human Activities in Lake Ziway Basin, Ethiopia

Musie

Sen

Chaubey

2020

Water

Self Cite

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Hydrological impacts of human activities and climate variability on Ketar and Meki watersheds of Lake Ziway basin, Ethiopia were studied using the soil and water assessment tool. Three land-use change and two climate variability scenarios were considered to analyze the separate and combined impacts on annual water balance, monthly streamflow, and spatial distributions of evapotranspiration and water yield. The evaluation showed that changes in land use resulted in an increase in annual surface runoff and water yield for Ketar watershed and an increase in annual ET for Meki. Similarly, the climate variability resulted in a decrease in annual ET, surface runoff, and water yield for Ketar watershed and a decrease in ET for Meki. Overall, climate variability has greater impacts on the monthly streamflow compared to land-use change impacts. Similarly, greater sensitivity in hydrologic response was observed for Ketar watershed compared to Meki watershed.

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“…The optimal value of the percent bias is zero. A negative value indicates that the model is overestimating, and a positive value indicates that the model is underestimating [54].…”

Section: Performance Indices For Streamflow Simulationmentioning

confidence: 99%

Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model

Sharannya

Al‐Ansari

Barma

et al. 2020

Water

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Precipitation obtained from rain gauges is an essential input for hydrological modelling. It is often sparse in highly topographically varying terrain, exhibiting a certain amount of uncertainty in hydrological modelling. Hence, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. In this study, an attempt was made to evaluate the Tropical Rainfall Measuring Mission (TRMM) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), employing a semi-distributed hydrological model, i.e., Soil and Water Assessment Tool (SWAT), for simulating streamflow and validating them against the flows generated by the India Meteorological Department (IMD) rainfall dataset in the Gurupura river catchment of India. Distinct testing scenarios for simulating streamflow were made to check the suitability of these satellite precipitation data. The TRMM was able to better estimate rainfall than CHIRPS after performing categorical and continuous statistical results with respect to IMD rainfall data. While comparing the performance of model simulations, the IMD rainfall-driven streamflow emerged as the best followed by the TRMM, CHIRPS-0.05, and CHIRPS-0.25. The coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and percent bias (PBIAS) were in the range 0.63 to 0.86, 0.62 to 0.86, and −14.98 to 0.87, respectively. Further, an attempt was made to examine the spatial distribution of key hydrological signature, i.e., flow duration curve (FDC) in the 30–95 percentile range of non-exceedance probability. It was observed that TRMM underestimated the flow for agricultural water availability corresponding to 30 percent, even though it showed a good performance compared to the other satellite rainfall-driven model outputs.

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Comparison and evaluation of gridded precipitation datasets for streamflow simulation in data scarce watersheds of Ethiopia

Cited by 80 publications

References 54 publications

Evaluation of Open Access Precipitation and Temperature Products Using SWAT in Shiyang River Basin, Northwest China

Evaluation of Open Access Precipitation and Temperature Products Using SWAT in Shiyang River Basin, Northwest China

Hydrologic Responses to Climate Variability and Human Activities in Lake Ziway Basin, Ethiopia

Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model

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