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首页> 外文期刊>Journal of hydrometeorology >Scintillometer-based estimates of sensible heat flux using lidar-derived surface roughness
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Scintillometer-based estimates of sensible heat flux using lidar-derived surface roughness

机译:使用基于激光雷达的表面粗糙度基于闪烁仪的显热通量估算

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摘要

The estimation of sensible heat flux, H, using large aperture scintillometer (LAS) under varying surface heterogeneity conditions was investigated. Surface roughness features characterized by variable topography and vegetation height were represented using data derived from the highly accurate light detection and range (lidar) techniques as well as from traditional vegetation survey and topographic map methods. The study was conducted at the Cibola National Wildlife Refuge, Southern California, over a riparian zone covered with natural vegetation dominated by tamarisk trees interspersed with bare soil in a region characterized by arid to semiarid climatic conditions. Estimates of H were obtained using different representations of surface roughness features derived from both traditional and lidar methods to estimate LAS beam height [z(u)] at each increment u along its path, vegetation height (h_c), displacement height (d), and roughness length (z_O) combined with the LAS weighing function, W(u), along the path. The effect of the LAS 3D footprint was examined to account for the contribution from the individual patches in the upwind direction, hence on the estimates ofH. The results showed better agreement between LAS and Bowen ratio sensible heat fluxes when lidar-derived surface roughness was used, especially when considering the LAS 3D footprint effects. It was also found that, under certain conditions, the LAS path weighted h_c and d obtained using the LAS weighting function W(u) is a good approximation of the 3D weighted footprint values. ? 2012 American Meteorological Society.
机译:研究了在变化的表面非均质性条件下使用大孔径闪烁仪(LAS)估算显热通量H的方法。使用高度精确的光检测和测距(激光)技术以及传统的植被调查和地形图方法得出的数据来表示具有可变地形和植被高度特征的表面粗糙度特征。该研究在南加州的西博拉国家野生动物保护区的河岸地区进行,该河岸地区覆盖着以zone柳树为主的自然植被,natural柳树上散布着裸露的土壤,该地区的特点是干旱至半干旱气候条件。使用从传统方法和激光雷达方法得出的表面粗糙度特征的不同表示来获得H的估计值,以估计沿其路径的每个增量u的LAS光束高度[z(u)],植被高度(h_c),位移高度(d),沿路径将粗糙度和粗糙度长度(z_O)与LAS称重功能W(u)相结合。检查了LAS 3D足迹的影响,以说明各个补丁在迎风方向上的贡献,因此对H的估算进行了说明。结果表明,当使用基于激光雷达的表面粗糙度时,尤其是考虑到LAS 3D足迹效应时,LAS和Bowen比值的感热通量之间的一致性更好。还发现,在某些条件下,使用LAS加权函数W(u)获得的LAS路径加权h_c和d是3D加权足迹值的良好近似值。 ? 2012年美国气象学会。

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