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Using remotely sensed solar radiation data for reference evapotranspiration estimation at a daily time step

机译:在每天的时间步长使用遥感的太阳辐射数据进行参考蒸散量估算

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Solar radiation is an important climatic variable for assessing reference evapotranspiration (E ), but it is seldom available in weather station records. Meteosat satellite images processed with the Heliosat-2 method provide the HelioClim-1 database, which displays spatialized solar radiation data at a daily time step for Europe and Africa. The aim of the present work was to investigate the interest of satellite-sensed solar radiation for E calculation, where air temperature is the sole local weather data available. There were two study areas in Southern France. One (Southwest, SW) is characterized by Oceanic climate and the other (Southeast, SE) by Mediterranean climate. A data set of daily values for 19 weather stations spanning five years (2000-2004) was used. First, a sensitivity analysis of the Penman-Monteith formula to climate input variables was performed, using the Sobol' method. It shows that E is mainly governed by solar radiation during summer, and by wind speed during winter. Uncertainties of HelioClim-1 solar radiation data and their repercussions on E formulae were evaluated, using the FAO-56 Penman-Monteith formulae (PM) and radiation-based methods (Turc, TU; Priestley-Taylor, PT and Hargreaves-Radiation, HR). It was shown that HelioClim-1 data slightly underestimate solar radiation and provide relative RMSE (root mean square error) of 20% of the mean annual value for SW and 14% for SE. The propagation of HelioClim-1 data uncertainties is small in PM but considerable in radiation methods. Four estimation methods were then compared to PM data: the 1985 Hargreaves formula (HT) based on air temperature only; TU, PT and HR, based on air temperature and satellite-sensed solar radiation. Radiation methods were more precise and more accurate than HT, with RMSE ranging from 0.52mm to 0.86mm against 0.67-0.96mm. These results suggest that using satellite-sensed solar radiation may improve E estimates for areas where air temperature is the only available record at ground level.
机译:太阳辐射是评估参考蒸散量(E)的重要气候变量,但气象站记录中很少使用。用Heliosat-2方法处理过的Meteosat卫星图像提供了HelioClim-1数据库,该数据库每天显示欧洲和非洲的空间太阳辐射数据。当前工作的目的是调查卫星感应太阳辐射对E计算的兴趣,其中空气温度是唯一可获得的本地天气数据。法国南部有两个研究区。一个(西南,西南)的特征是海洋性气候,另一个(东南,东南)的特征是地中海性气候。使用了横跨五年(2000年至2004年)的19个气象站的每日数据集。首先,使用Sobol'方法对Penman-Monteith公式对气候输入变量进行了敏感性分析。结果表明,E主要受夏季太阳辐射的控制,而冬季受风速的控制。使用FAO-56 Penman-Monteith公式(PM)和基于辐射的方法(Turc,TU; Priestley-Taylor,PT和Hargreaves-Radiation,HR)评估了HelioClim-1太阳辐射数据的不确定性及其对E公式的影响)。结果表明,HelioClim-1数据略微低估了太阳辐射,并且提供的相对RMSE(均方根误差)为SW的年均值的20%和SE的年均值的14%。 HelioClim-1数据不确定性的传播在PM中很小,但在辐射方法中相当大。然后将四种估算方法与PM数据进行了比较:1985年基于空气温度的Hargreaves公式(HT); TU,PT和HR,基于气温和卫星感应的太阳辐射。辐射方法比HT更精确,更精确,RMSE范围从0.52mm到0.86mm,而0.67-0.96mm。这些结果表明,使用卫星感应的太阳辐射可能会改善空气温度是唯一可在地面记录的区域的E估计。

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