Comparison of Empirical ETo Relationships with ERA5-Land and In Situ Data in Greece

Q3 Social Sciences
Nikolaos Gourgouletis, Marianna Gkavrou, E. Baltas
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Abstract

Reference evapotranspiration (ETo) estimation is essential for water resources management. The present research compares four different ETo estimators based on reanalysis data (ERA5-Land) and in situ observations from three different cultivation sites in Greece. ETo based on FAO56-Penman–Monteith (FAO-PM) is compared to ETo calculated from the empirical methods of Copais, Valiantzas and Hargreaves-Samani using both reanalysis and in situ data. The daily and monthly biases of each method are calculated against the FAO56-PM method. ERA5-Land data are also compared to ground-truth observations. Additionally, a sensitivity analysis is conducted on each site for different cultivation periods. The present research finds that the use of ERA5-Land data underestimates ground-truth-based ETo by 35%, approximately, when using the FAO56-PM method. Additionally, the use of other methodologies also shows underestimation of ETo when calculated with ERA5-Land data. On the contrary, the use of the Valiantzas and Copais methodologies with in situ observations shows overestimation of ETo when compared to FAO56-PM, in the ranges of 32–62% and 24–56%, respectively. The sensitivity analysis concludes that solar radiation and relative humidity are the most sensitive variables of the Copais and Valiantzas methodologies. Overall, the Hargreaves-Samani methodology was found to be the most efficient tool for ETo estimation. Finally, the evaluation of the ERA5-Land data showed that only air temperature inputs can be utilized with high levels of confidence.
希腊实证ETo与ERA5-Land和In Situ数据的关系比较
参考蒸散发估算对水资源管理至关重要。本研究比较了基于再分析数据(ERA5-Land)和来自希腊三个不同种植地点的实地观测的四种不同的ETo估算器。将基于FAO56-Penman-Monteith (FAO-PM)的ETo与Copais、Valiantzas和Hargreaves-Samani使用再分析和实地数据的经验方法计算的ETo进行比较。根据FAO56-PM方法计算每种方法的日和月偏差。ERA5-Land数据还与地面实况观测数据进行了比较。此外,对不同栽培时期的每个地点进行敏感性分析。本研究发现,在使用FAO56-PM方法时,使用ERA5-Land数据低估了大约35%的基于地面真值的ETo。此外,当使用ERA5-Land数据计算时,使用其他方法也显示低估了ETo。相反,使用Valiantzas和Copais方法进行现场观测显示,与FAO56-PM相比,ETo的高估幅度分别为32-62%和24-56%。敏感性分析表明,太阳辐射和相对湿度是Copais和Valiantzas方法最敏感的变量。总体而言,Hargreaves-Samani方法被认为是最有效的ETo估计工具。最后,对ERA5-Land数据的评估表明,只有气温输入才能得到高置信度的利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Geographies
Human Geographies Social Sciences-Geography, Planning and Development
CiteScore
1.10
自引率
0.00%
发文量
7
审稿时长
8 weeks
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