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

被引:68
作者
Bois, B. [1 ]
Pieri, P. [1 ]
Van Leeuwen, C. [1 ,2 ]
Wald, L. [3 ]
Huard, F. [4 ]
Gaudillere, J. -P. [1 ]
Saur, E. [2 ,5 ]
机构
[1] Univ Bordeaux 2, ISVV, UMR Ecophysiol & Genom Fonctionelle Vigna, INRA, F-33883 Villenave Dornon, France
[2] Ecole Natl Ingn Travaux Agricoles Bordeaux, F-33175 Gradignan, France
[3] Ecole Mines, CEP, F-06904 Sophia Antipolis, France
[4] UE Agroclim, INRA, F-84914 Avignon 9, France
[5] Univ Bordeaux 1, INRA, UMR TCEM, F-33883 Villenave Dornon, France
关键词
evapotranspiration; solar radiation; Penman-Monteith equation; sensitivity analysis; remote sensing;
D O I
10.1016/j.agrformet.2007.11.005
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Solar radiation is an, important climatic variable for assessing reference evapotranspiration (E-0), 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 E0 calculation, where air temperature is the sole local weather data available. There were two study areas in Southern France One (Southwest, SVT) 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-0) 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 E0 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 FIR, based on air temperature and satellite-sensed solar radiation. Radiation methods were more precise and more accurate than HT, with RMSE ranging from 0.52 mm to 0.86 mm against 0.67-0.96 mm. These results suggest that using satellite-sensed solar radiation may improve E0 estimates for areas where air temperature is the only available record at ground level. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:619 / 630
页数:12
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