Abstract
The potential evapotranspiration (PET) is an important input to the hydrological model and its compatibility has an important influence on the model applications. The applicability of the Hargreaves-Samani (HS) PET estimation method in Coupled Routing and Excess STorage distributed hydrological model version 3.0 (CREST 3.0 model) was studied in a typical humid region, Ganjiang River Basin, in Southern China. The PET estimation methods were evaluated based on the streamflow simulation accuracies using the CREST 3.0 model driven by different PET products with various spatial resolutions. The Penman-Monteith (PM) equation-based PET estimation method was adopted as the reference PET estimation method in this study. The results demonstrated that PET obtained from the HS method was larger than that generated by the PM method, and the CREST 3.0 model driven by both HS and PM-based PET products can simulate the streamflow temporal variations equally well in annual time scale. Compared with the PM method, the HS method was more stable and robust in driving CREST 3.0 model under the scenarios of different spatial resolutions. In addition, during the validation period (2007–2009) with 2003–2006 as the calibration period, the HS outperformed PM considering the streamflow simulation accuracy. Therefore, the HS method was not only applicable to CREST 3.0 model with flexible spatial resolutions, but also can be an alternative method to PM method in CREST 3.0 model streamflow simulation applications in Ganjiang River Basin. The study results will not only increase the confidence on the applicability of the HS method in hydrological simulation in Ganjiang River Basin, but also prove the flexibility of CREST 3.0 model in terms of PET input, which will expand the application range of the CREST 3.0 model.
Highlights
Potential evapotranspiration (PET), which is defined as the maximum possible evapotranspiration rate under the condition of sufficient soil water availability [1], is a vital flux for hydrological processes and is an important input to the hydrological model applications [2,3]
The results partly provided that the PET dataset is an important and sensitive input for CREST model simulation
This study investigated the applicability of HS method in CREST model version 3.0
Summary
Potential evapotranspiration (PET), which is defined as the maximum possible evapotranspiration rate under the condition of sufficient soil water availability [1], is a vital flux for hydrological processes and is an important input to the hydrological model applications [2,3]. A flexible and reliable PET input could greatly facilitate the application of the hydrological model.
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