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Spatially explicit regionalization of airborne flux measurements using environmental response functions

Title data

Metzger, Stefan ; Junkermann, Wolfgang ; Mauder, Matthias ; Butterbach-Bahl, Klaus ; Trancón y Widemann, Baltasar ; Neidl, Frank ; Schäfer, Klaus Georg ; Wieneke, Sebastian ; Zheng, X. H. ; Schmid, Hans Peter ; Foken, Thomas:
Spatially explicit regionalization of airborne flux measurements using environmental response functions.
In: Biogeosciences. Vol. 10 (2013) . - pp. 2193-2217.
ISSN 1726-4189
DOI: https://doi.org/10.5194/bg-10-2193-2013

Abstract in another language

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 -2, 46Wm-2 < LE < 425Wm-2) and spatial variability (11Wm-2 < H < 169Wm-2, 14Wm-2 < LE < 152Wm-2) to a precision of 5%. Lastly, ERF predictions of land cover specific Bowen ratios are compared between subsequent flights at different locations in the Xilin River Catchment. Agreement of the land cover specific Bowen ratios to within 129% emphasizes the robustness of the presented approach. This study indicates the potential of ERFs for (i) extending airborne flux measurements to the catchment scale, (ii) assessing the spatial representativeness of long-term tower flux measurements, and (iii) designing, constraining and evaluating flux algorithms for remote sensing and numerical modelling applications.

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: BAYCEER113852
BAYCEER112073
Ausgezeichnet mit dem Förderpreis der Deutschen Meteorologischen Gesellschaft.
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Former Professors
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Ecological Modelling
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Former Professors > Professor Micrometeorology - Univ.-Prof. Dr. Thomas Foken
Research Institutions
Research Institutions > Research Centres
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: Yes
DDC Subjects: 500 Science
Date Deposited: 18 May 2015 09:01
Last Modified: 17 May 2022 10:30
URI: https://eref.uni-bayreuth.de/id/eprint/13858