Incorporating LIDAR data into scintillometer-based estimates of sensible heat flux considering different atmospheric stability conditions

摘要

Scintillometer-based estimates of sensible heat flux (H) are in some conditions less accurate, especially under heterogeneous surfaces and variable terrain. Some scintillometers such as BLS900 used in this study misrepresent surface heterogeneity and terrain through using an average scintillometer effective height and vegetation height. Also the performance of the scintillometer to estimates H during stable atmospheric conditions and strong advection is considered. Here we present preliminary results of a study of the effects of incorporating terrain and vegetation height data acquired using LIDAR and airborne multispectral remote sensing. This new data is used to correct scintillometer data for a dense riparian Tamarisk forest at the Cibola wildlife area in southern California collected during the summer of 2008.