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Titel Feasibility study on footprint-based spatial flux decomposition from multiple eddy covariance measurements in a mosaic landscape
VerfasserIn Alexander Graf, Anneke van de Boer, Arnold F. Moene, Dirk Schüttemeyer, Harrie-Jan Hendricks-Franssen
Konferenz EGU General Assembly 2011
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 13 (2011)
Datensatznummer 250051386
 
Zusammenfassung
Various "natural tracer experiments" that have been successfully performed during the last decade, indicate that there is a potential of estimating true surface fluxes from (too) small landscape units from spatially distributed flux measurements (Göckede et al., 2006; Reth et al., 2005). More recently, first such efforts have been presented mainly for airborne measurements (Mauder et al., 2008; Hutjes et al., 2010) but also for a ground-based set-up consisting of 2 stations and fields (Neftel et al., 2007). On the other hand, it has been pointed out that footprint models may easily be overcharged by efforts to inversely determine fluxes (Schmid, 2006). On this poster, we present a first effort to transfer the existing approaches to a local station network of seven eddy covariance sensor pairs installed 100 to 500 m apart in a flat agricultural landscape dominated by three land use types. Fluxes measured include the sensible and latent heat flux as well as CO2 flux. The footprint models by Hsieh et al. (2000) and Kormann and Meixner (2001) are used to quantify the contribution of each land use type to the flux measured at each station (van de Boer et al., 2011). Various ways to (i) estimate land use type fluxes from station fluxes and the footprint contribution matrix and (ii) identify situations where this approach may be inapplicable are tested against each other, as well as against independent reference measurements. The latter are obtained from stations left out of the inversion process (cross validation) and, for the special case of CO2 flux from a harvested field, area-averaged chamber measurements of soil respiration. Our preliminary results indicate that spatial flux decomposition can indeed help to reduce large footprint-induced errors. In particular, this is the case for bare field soil respiration measurements, which are highly sensitive to contamination by photosynthetic CO2 flux signals from surrounding cropped fields. However, the correction also adds a high amount of uncertainty, which can be attributed both to the footprint modelling process, and the treatment of residuals during the inversion process. References Göckede, M., Markkanen, T., Mauder, M., Arnold, K., leps, J.P., Foken, T. (2005): Validation of footprint models using natural tracer measurements from a field experiment. Agric. For. Meteorol. 135:314-325. Hsieh, C.I., Katul, G., Chi, T.: 2000. An Approximate Analytical Model for Footprint Estimation of Scalar Fluxes in Thermally Stratified Atmospheric Flows. Adv. Water Res. 23: 765-772. Hutjes, R.W.A., Velinga, O.S., Gioli, B., Miglietta, F. (2010): Dis-aggregation of airborne flux measurements using footprint analysis. Agric. For. Meteorol. 150:966-983. Kormann, R., Meixner, F.X.: 2001. An Analytical Footprint Model for Non-Neutral Stratification. Boundary-Layer Meteorol. 99: 207-224. Mauder, M., Desjardins, R.L., MacPherson, I. (2008): Creating surface flux maps from airborne measurements: application to the Mackenzie Area GEWEX study MAGS 1999. Boundary-Layer Meteorol. 129:431-450. Neftel, A., Spirig, C., Amman, C. (2008): Application and test of a simple tool for operational footprint evaluations. Environ. poll. 152:644-652. Reth, S., Göckede, M., Falge, E. (2005): CO2 efflux from agricultural soils in Eastern Germany - comparison of a closed chamber system with eddy covariance measurements. Theor Appl. Climatol. 80:105-120. Schmid, H.P. (2006): On the "Dos" and "Don’t"s of footprint analysis in difficult conditions. iLEAPS Specialist Workshop Flux Measurement in Difficult Conditions. 26.-28. Januar 2006, Boulder, USA. van de Boer, A., Graf, A., Moene, A.F., Schüttemeyer, D. (2011): Uncertainty analysis of analytical flux footprint models. Submitted to EGU General Assembly 2011.