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首页> 外文期刊>Stochastic environmental research and risk assessment >Estimation of evapotranspiration from ground-based meteorological data and global land data assimilation system (GLDAS)
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Estimation of evapotranspiration from ground-based meteorological data and global land data assimilation system (GLDAS)

机译：从地面气象数据和全球土地数据同化系统（GLDAS）估算蒸散量

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摘要

Evapotranspiration (ET) is one of the most significant factors in understanding global hydrological budgets, and its accurate estimation is crucial for understanding water balance and developing efficient water resource management plans. For calculation of reference ET (ETref), the meteorological data from weather stations have been widely used for estimation at the point scale; however, meteorological data from the global land data assimilation system (GLDAS) at the regional scale are rarely used for the estimation of ET. In this study, 30 different equations provided in the Reference Evapotranspiration Calculator Software (REF-ET) were utilized for estimating ETref with GLDAS and point scale data collected at 14 observation sites in the Korean Peninsula during 2013. Using ETref calculated from observation and GLDAS, 30 equations were evaluated by estimating the overall rank number, as determined by the correlation coefficient, normalized standard deviation, bias, and root mean square error (RMSE). Results showed that the Penman (Proc R Soc Lond Ser A Math Phys Sci 193:120-145, 1948) FAO-56 Penman-Monteith, 1982 Kpen equation (combination equations), the 1957 Makkink, Priestley-Taylor equation (radiation based equation), and the 1985 Hargreaves equation had a good overall rank. Using the six selected equations, seasonal analysis was conducted and evaluated using the bias and RMSE. Comparison of the ETref gathered from observation and GLDAS revealed that both of them showed similar seasonal variation, although ETref calculated from GLDAS were underestimated. Sensitivity analysis conducted by changing three main climatic variables (i.e., temperature, wind speed, and sunshine hours) by +/- 1, +/- 5, +/- 10, +/- 15, and +/- 20 % with one variable fixed also revealed that ETref was more affected by air temperature than sunshine hours and wind speed throughout the 14 selected stations.
机译：蒸散量（ET）是了解全球水文预算的最重要因素之一，其准确估算对于了解水平衡和制定有效的水资源管理计划至关重要。为了计算参考ET（ETref），气象站的气象数据已广泛用于定点尺度的估算。然而，来自全球范围的土地数据同化系统（GLDAS）的气象数据很少用于ET的估算。在这项研究中，参考蒸发蒸腾计算器软件（REF-ET）提供了30种不同的方程式，用于利用GLDAS估算ETref和2013年朝鲜半岛14个观测点收集的点规模数据。通过估计总体等级数来评估30个方程，该等级由相关系数，归一化标准偏差，偏差和均方根误差（RMSE）确定。结果表明Penman（Proc R Soc Lond Ser A Math Phys Sci 193：120-145，1948）FAO-56 Penman-Monteith，1982 Kpen方程（组合方程），1957 Makkink，Priestley-Taylor方程（基于辐射的方程） ），并且1985年Hargreaves方程的总体排名很高。使用六个选择的方程式，进行了季节性分析，并使用偏差和RMSE进行了评估。从观测值和GLDAS收集到的ETref的比较表明，尽管从GLDAS计算得出的ETref被低估了，但两者都显示出相似的季节变化。通过将三个主要气候变量（即温度，风速和日照时间）分别改变+/- 1，+ /-5，+ /-10，+ /-15和+/- 20％进行敏感性分析固定的变量还显示，在14个选定站点中，ETref受气温的影响大于日照时间和风速的影响。

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