作者: Grégoire Broquet , Frédéric Chevallier , Peter Rayner , Céline Aulagnier , Isabelle Pison
DOI: 10.1029/2011JD016202
关键词: Data assimilation 、 Mesoscale meteorology 、 Biosphere 、 Atmospheric sciences 、 Mixing ratio 、 Flux (metallurgy) 、 Eddy covariance 、 Diurnal cycle 、 Standard deviation 、 Climatology 、 Environmental science
摘要: A regional variational inverse modeling system for the estimation of European biogenic CO2 fluxes is presented. This based on a 50 km horizontal resolution configuration mesoscale atmospheric transport model and adjoint its tracer code. It exploits hourly in situ data from 15 CarboEurope-Integrated Project stations. Particular attention inversion setup paid to characterizing error selecting observations be assimilated as function this error. Comparisons between simulations Rn-222 concentrations indicate that errors should have standard deviation which less than 7 ppm when simulating variability at low altitude during afternoon evening or high night. Synthetic are used estimate uncertainty reduction using system. The improvement brought by prior both mean diurnal cycle monthly synoptic associated mixing ratios checked against independent eddy covariance flux measurements. Inverse conducted summers 2002-2007 reduce similar 60% period. trend corrections June September increase uptake 12 gCm(-2). Corrections higher also diagnosed reveal some limitations underlying terrestrial biosphere. (Less)