On uncertainties in carbon flux modelling and remotely sensed data assimilation: The Brasschaat pixel case

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.     

Spaceborne quantitative assessment of dissolved organic carbon fluxes in the Kara Sea

An advanced algorithm for retrieval of phytoplankton chlorophyll (CHL) and dissolved organic carbon (DOC) concentrations from MERIS images of the Kara Sea is presented. The supply of DOC of terrestrial origin into the Kara Sea is numerically assessed from satellite data on DOC and historical records of river discharge rates. It exceeds the historical in situ values only by 25%. Satellite data on CHL were exploited for calculating the phytoplankton columnar biomass and the total phytoplankton biomass in the Kara Sea. Remote sensing and in situ data were used to calculate the value of the coefficient (K_PH) for calculation from phytoplankton biomass of autochthonous production of DOC. K_PH proved to be 142 ± 8 gC/gPH/month and exhibited only slight interannual variations. The coefficient K_PH was employed for the first time to evaluate the production of autochthonous DOC in the Kara Sea and to correct the value of the allochthonous DOC flux initially retrieved from space across the Kara Sea.