Göckede, M; Foken, T; Aubinet, M; Aurela, M; Banza, J; Bernhofer, C; Bonnefond, J-M; Brunet, Y; Carrara, A; Clement, R; Dellwik, E; Elbers, JA; Eugster, W; Fuhrer, J; Granier, A; Grünwald, T; Heinesch, B; Janssens, IA; Knohl, A; Koeble, R; Laurila, T; Longdoz, B; Manca, G; Marek, M; Markkanen, T; Mateus, J; Matteucci, G; Mauder, M; Migliavacca, M; Minerbi, S; Moncrieff, JB; Montagnani, L; Moors, E; Ourcival, J-M; Papale, D; Pereira, J; Pilegaard, K; Pita, G; Rambal, S; Rebmann, C; Rodrigues, A; Rotenberg, E; Sanz, MJ; Sedlak, P; Seufert, G; Siebicke, L; Soussana, JF; Valentini, R; Vesala, T; Verbeeck, H; Yakir, D: Quality control of CarboEurope flux data – Part I: Footprint analyses to evaluate sites in forest ecosystems, Biogeosciences Discussions, 4, 4025-4066 (2007) [Link] | |
Abstract: We applied a site evaluation approach combining Lagrangian Stochastic footprint modelling with a quality assessment approach for eddy-covariance data to 25 forested sites elling of the CarboEurope-IP network. The analysis addresses the spatial representativeness of the flux measurements, instrumental effects on data quality, spatial patterns in ness the data quality, and the performance of the coordinate rotation method. Our findings demonstrate that application of a footprint filter could strengthen the CarboEurope-IP flux database, since only one third of the sites is situated in truly homogeneous terrain. Almost half of the sites experience a significant reduction in eddy-covariance data rain. quality under certain conditions, though these effects are mostly constricted to a small portion of the dataset. Reductions in data quality of the sensible heat flux are mostly induced by characteristics of the surrounding terrain, while the latent heat flux is sub- subject to instrumentation-related problems. The Planar-Fit coordinate rotation proved to ject be a reliable tool for the majority of the sites using only a single set of rotation angles. Overall, we found a high average data quality for the CarboEurope-IP network, with good representativeness of the measurement data for the specified target land cover types. |
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