Assessment of reference evapotranspiration methods in semi-arid regions: Can weather forecast data be used as alternate of ground meteorological parameters?
Assessment of reference evapotranspiration methods in semi-arid regions: Can weather forecast data be used as alternate of ground meteorological parameters?
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DOI：
10.1016/j.jaridenv.2010.07.002
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发表时间：
2010-12-01
影响因子：
2.7
通讯作者：
Allen, R.
中科院分区：
文献类型：
--
作者：
Er-Raki, S.;Chehbouni, A.;Allen, R.
在这项研究中，评估了半和地区评估参考蒸散量 (ET0) 的三种经验方法的性能：Makkink (Mak) 和 Priestley-Taylor (PT)（基于辐射）和 Hargreaves-Samani (HARG)（基于温度）。将使用这三种方法得出的 ET0 值与使用参考粮农组织 Penman-Monteith (FAO-PM) 方法在 Tensift 盆地（摩洛哥中部）和 Yaqui Valley（墨西哥西北部）半干旱条件下估计的值进行比较。结果表明，HARG 方法是估计半场地和测试场地 ET0 的最佳方法。相反，除潮湿条件外，其他两种经验方法的性能较差。然而，当对PT和Mak方程中的参数α和C-m进行局部标定后，这两种方法的性能得到了很大的提高。此外，这项研究表明，当缺乏估算 ET0 所需的气象参数测量（这些参数并不总是可用，特别是在发展中国家）时，数值天气预报模型生成的气候数据为估算 ET0 提供了替代且有效的解决方案。在这方面，使用 Tensift 盆地天气预报模型 (ALADIN) 生成的数据表明，HARG 模型是估计 ET0 时空变化最准确的模型。 (C) 2010 Elsevier Ltd. 保留所有权利。
In this study, the performance of three empirical methods for estimating reference evapotranspiration (ET0): Makkink (Mak) and Priestley-Taylor (PT) (radiation-based) and Hargreaves-Samani (HARG) (temperature-based) were assessed in semi-and regions. The values of ET0 derived using these three methods were compared to those estimated using the reference FAO Penman-Monteith (FAO-PM) method under semi-arid conditions of the Tensift basin (central of Morocco) and the Yaqui Valley (Northwest Mexico). The results showed that the HARG method is the best one to estimate ET0 over both semi-and test sites. Conversely, the performance of the other two empirical methods was poor except under humid conditions. However when the parameters alpha and C-m figurate in the PT and Mak equations are locally calibrated, the performance of these two methods greatly improved. Additionally, this study showed that, when measurements of meteorological parameters needed for estimating ET0 (which are not always available especially in developing countries) are lacking, the climatic data generated with numerical weather prediction models provide an alternative and effective solution to estimate ET0. In this regard, data generated using a weather forecast model (ALADIN) over the Tensift basin showed that the HARG model is the most accurate one for estimating the spatio-temporal variability of ET0. (C) 2010 Elsevier Ltd. All rights reserved.