Evaluation of evapotranspiration using energy-based and water balance hydrological models

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Ressy Fitria, Michael Timothy, Roald Marck J. Revellame
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Abstract

The reliability of evapotranspiration (ET) models is crucial to comprehending land–atmosphere interactions and water balance dynamics in various available resources of the model. This study compared two different models based on energy and water balance models, a surface energy balance system (SEBS) and SPHY, and evaluated against ground observation data from flux towers for different land cover characteristics (forest and savanna) in Southeast Africa. We found that both models have a good correlation with flux tower data for both sites (ZM-Mon and ZM-Kru). The SEBS model showed a lower root-mean-square error (RMSE; 2.17 mm day−1) at the savanna site (ZM-Kru) than the SPHY model (2.27 mm day−1). However, at the forest site (ZM-Mon), the SEBS model showed a higher RMSE value (1.90 mm day−1) than the SPHY model (0.88 mm day−1). Then, we analyzed the ET model's sensitivity to the precipitation variable. We found that SPHY overestimated ET during the winter season and underestimated it during the summer season, which might be influenced by the dependency of the SPHY model to water excess and water shortage stress parameters in ET calculations. Overall, SPHY, with fewer input data, showed a reasonably good result compared to the SEBS. The results revealed that each model possesses its unique strengths and limitations in relation to specific land covers and vegetation composition, offering opportunities for improvement and optimization.
利用基于能量和水平衡的水文模型评估蒸散量
蒸散(ET)模型的可靠性对于理解陆地-大气相互作用以及模型中各种可用资源的水平衡动态至关重要。本研究比较了两种不同的基于能量和水平衡模型的模型--地表能量平衡系统(SEBS)和 SPHY,并根据通量塔的地面观测数据对东南非不同土地覆盖特征(森林和热带草原)进行了评估。我们发现,这两个模型与两个地点(ZM-Mon 和 ZM-Kru)的通量塔数据具有良好的相关性。在热带草原区(ZM-Kru),SEBS 模型的均方根误差(RMSE;2.17 毫米/天-1)低于 SPHY 模型(2.27 毫米/天-1)。然而,在森林地点(ZM-Mon),SEBS 模型的均方误差值(1.90 毫米/天-1)高于 SPHY 模型(0.88 毫米/天-1)。然后,我们分析了蒸散发模型对降水变量的敏感性。我们发现,SPHY 高估了冬季的蒸散发,而低估了夏季的蒸散发,这可能是受 SPHY 模型在蒸散发计算中对水分过剩和缺水胁迫参数的依赖性影响。总体而言,与 SEBS 相比,SPHY 在输入数据较少的情况下取得了相当好的结果。研究结果表明,针对特定的土地植被和植被组成,每个模型都有其独特的优势和局限性,为改进和优化提供了机会。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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