Calibration and validation of an aerodynamic method to estimate the spatial variability of sensible and latent heat fluxes over a drip-irrigated Merlot vineyard
Calibration and validation of an aerodynamic method to estimate the spatial variability of sensible and latent heat fluxes over a drip-irrigated Merlot vineyard
复制标题
空气动力学方法的校准和验证，用于估计滴灌梅洛葡萄园感热和潜热通量的空间变化
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
J. L. Chávez
中科院分区：
文献类型：
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作者：
M. Carrasco;S. Ortega;L. Morales;C. Poblete;J. L. Chávez
摘要进行了一项研究，以校准和验证空气动力学温度的方法来估计的显热（H）和潜热（LE）的热通量的空间变异性在位于智利马乌莱地区的滴灌梅洛葡萄园。本研究收集了2006年至2010年生长季的能量平衡分量和气象数据。实验区由4.25公顷的'Merlot'葡萄园组成，该葡萄园配备了涡流协方差系统和自动气象站。k折交叉验证方法被用来调整和验证葡萄园表面空气动力学温度（Taero）模型，考虑到所有的日子，当陆地卫星的场景和地面测量的气象数据和表面能量平衡（SEB）可用。然后，基于卫星的Taero的估计被用来计算表面气动阻力（rah），随后，热通量的H和LE。结果表明，估计的H值和rah值与葡萄园中测量的值没有显著差异（95%显著性水平），均方根（RMSE）和平均绝对误差（MAE）分别在34-29 W m−2和1.01-0.78 s m−1之间。基于卫星的LE计算结果略高于卫星飞越时的测量结果（RMSE = 63 W m−2; MAE = 56 W m−2），可能是由于净辐射（Rn）和土壤热通量（G）计算中的偏差。建议SEB方法的基础上Taero是非常简单的实现，提出类似的精度ET映射到那些计算复杂的基于卫星的模型。
ABSTRACT A study was carried out to calibrate and validate the aerodynamic temperature method for estimating the spatial variability of the sensible (H) and latent (LE) heat fluxes over a drip-irrigated merlot vineyard located in the Maule Region, in Chile. For this study, measurement of energy balance components and meteorological data were collected from the 2006 to 2010 growing seasons. The experimental plot was composed of a 4.25 ha of ‘Merlot’ vineyard, which was equipped with an Eddy-Covariance system and an automatic weather station. The k-fold cross-validation method was utilized to tune and validate a vineyard surface aerodynamic temperature (Taero) model, considering all of the days when Landsat scenes and ground measurements of meteorological data and surface energy balance (SEB) were available. Then, the satellite-based estimations of Taero were utilized to calculate the surface aerodynamic resistance (rah) and, subsequently, heat fluxes of H and LE. Results indicated that the estimated H and rah values were not significantly different to those measured in the vineyard (95% significance level) showing a root mean square (RMSE) and mean absolute error (MAE) between 34–29 W m−2 and 1.01–0.78 s m−1, respectively. Satellite-based computations of LE were somewhat higher than those measured at the time of satellite overpass (RMSE = 63 W m−2; MAE = 56 W m−2), presumably due to the biases embedded in the net radiation (Rn) and soil heat flux (G) computations. The proposed SEB method based on Taero is very simple to implement, presenting similar accuracies on ET mapping to those computed by complex satellite-based models.