|Metzger, S; Junkermann, W; Mauder, M; Butterbach-Bahl, K; Trancón y Widemann, B; Neidl, F; Schäfer, K; Wieneke, S; Zheng, X H; Schmid, HP; Foken, T: Spatially explicit regionalization of airborne flux measurements using environmental response functions, Biogeosciences, 10, 2193-2217 (ausgezeichnet mit dem Förderpreis der Deutschen Meteorologischen Gesellschaft) (2013)|
The goal of this study is to characterize the sensible (H) and latent (LE) heat exchange for different land covers in the heterogeneous steppe landscape of the Xilin River Catchment, Inner Mongolia, China. Eddy-covariance flux measurements at 50–100m above ground were conducted in July 2009 using a weight-shift microlight aircraft. Wavelet decomposition of the turbulence data enables a spatial discretization of 90m of the flux measurements. For a total of 8446 flux observations during 12 flights, MODIS land surface temperature (LST) and enhanced vegetation index (EVI) in each flux footprint are determined. Boosted regression trees are then used to infer an environmental response function (ERF) between all flux observations (H, LE) and biophysical- (LST, EVI) and meteorological drivers. Numerical tests show that ERF predictions covering the entire Xilin River Catchment (3670 km2) are accurate to 18% (1σ). The predictions are then summarized for each land cover type, providing individual estimates of source strength (36Wm-2(36Wm-2
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