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Proper methods and its calibration for estimating reference evapotranspiration using limited climatic data in Southwestern China

机译:利用西南地区有限的气候资料估算参考蒸散量的正确方法及其校准

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摘要

Proper methods for estimating reference evapotranspiration (ET0) using limited climatic data are critical, if complete weather data are unavailable. Based on the weather data of 19 stations in Guizhou Province, China, several simple methods for ET0 estimation, including the Hargreaves, Priestley-Taylor, Irmak-Allen, McCloud, Turk, and Valiantzas methods, were involved in comparison with the standard FAO-56 Penman-Monteith (PM) method. The Turk equation performs well for estimating ET0 in humid locations. Both the Turk method and the Valiantzas method initially performed acceptably with mean root-mean-square difference (RMSD) of 0.1472 and 0.1282mm d(-1), respectively, with only requiring parameters of temperature (T), relative humidity (RH), and sunshine duration (n). The corresponding calibration formulas to Turk and Valiantzas method were suggested as the most appropriate method for ET0 estimation with the RMSD of 0.0098 and 0.0250mm d(-1), respectively. The local calibrated Hargreaves-Samani method performed well and can be applied as the substitute of FAO-56 PM method under the condition that only the daily mean, maximum, and minimum temperatures were available, and local calibrated McCloud method was acceptable if only the mean temperature was available.
机译:如果没有完整的天气数据,使用有限的气候数据估算参考蒸散量(ET0)的正确方法至关重要。根据中国贵州省19个气象站的气象数据,将几种简单的ET0估算方法与标准FAO-A方法进行了比较,包括Hargreaves,Priestley-Taylor,Irmak-Allen,McCloud,Turk和Valiantzas方法。 56 Penman-Monteith(PM)方法。特克方程在估计潮湿地区的ET0方面表现良好。最初的Turk方法和Valiantzas方法均可接受,均方根差(RMSD)分别为0.1472和0.1282mm d(-1),仅需要温度(T),相对湿度(RH)的参数即可和日照持续时间(n)。建议将与Turk和Valiantzas方法相对应的校准公式作为最合适的ET0估计方法,其RMSD分别为0.0098和0.0250mm d(-1)。局部校准的Hargreaves-Samani方法表现良好,可以在只有每日平均温度,最高和最低温度可用的条件下替代FAO-56 PM方法,并且如果仅采用平均值,则可以使用局部校准的McCloud方法温度可用。

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