On uncertainties in carbon flux modelling and remotely sensed data assimilation: The Brasschaat pixel case |
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| Authors: | Willem W Verstraeten Frank Veroustraete Walter Heyns Tom Van Roey Jan Feyen |
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| Institution: | 1. Geomatics Engineering, Katholieke Universiteit Leuven (K.U.Leuven), Celestijnenlaan 200E, BE-3001 Heverlee, Flanders, Belgium;2. Centre for Remote Sensing and Earth Observation Processes, Flemish Institute for Technological Research (VITO), Boeretang 200, BE-2400 Mol, Flanders, Belgium;3. Laboratory for Soil and Water Management, Katholieke Universiteit Leuven (K.U.Leuven), Geo-institute, Celestijnenlaan 200E, BE-3001 Heverlee, Flanders, Belgium |
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| Abstract: | Uncertainty on carbon fluxes is determined by the uncertainties of ecosystem model structure, data and model parameter uncertainties and the temporal and spatial inaccuracy of the input data retrieval. The objective of this paper is to understand the error propagation and uncertainty of evaporative fraction (EF), soil moisture content (SMC) and water limited net ecosystem productivity (NEP). In this respect, C-Fix and spaceborne remote sensing are used for the ‘Brasschaat’ pixel. A simple model based on error theory and a Monte-Carlo approach are used. Different error scenarios are implemented to assess input uncertainty on EF, SMC and NEP as estimated with C-Fix. |
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| Keywords: | Spaceborne remote sensing Water limitation Ecosystem carbon fluxes Uncertainty Error propagation Monte-Carlo approach |
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