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000834182 1001_ $$0P:(DE-HGF)0$$aUebel, M.$$b0$$eCorresponding author
000834182 245__ $$aMesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes
000834182 260__ $$aWeinheim [u.a.]$$bWiley$$c2017
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000834182 520__ $$aA new coupled high-resolution biosphere–atmospheremodel (TerrSysMP-CO2) is appliedto simulate mesoscale and diurnal variations of atmospheric CO2 mixing ratios. The modelis characterized by process-based parametrization calculating atmospheric dynamics andbiogenic processes considering the prognostically varying CO2 content at the surface. Anadvanced parametrization of soil respiration is used distinguishing between heterotrophicand autotrophic respiration and explicitly considering the effect of varying soil moisture.In addition to biogenic CO2 fluxes, high-resolution anthropogenic emissions are includedin the simulations.The model performance is verified with eddy-covariance fluxes and meteorologicaland CO2 concentration measurements at various heights of a tower. It is found that acorrect representation of turbulent mixing is most critical for a precise prediction of nearsurfaceCO2 mixing ratios and respective vertical gradients. High-resolution simulationswere performed for a region with complex terrain, heterogeneous land use and denselypopulated areas. The relative influence of diverse land use, orography as well as of synopticand mesoscale transport on the spatio-temporal CO2 distribution is analyzed. The resultsindicate that, in regions with hilly terrain at night and in the morning, the CO2 patterns arestrongly influenced by terrain-induced local circulations. Moreover, in densely populatedregions, fossil fuel emissions are an important source of atmospheric CO2 . Finally, thesimulated canopy fluxes and atmospheric conditions, calculated using two different cropphysiological parameter sets, are compared.
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000834182 7001_ $$0P:(DE-Juel1)129469$$aHerbst, M.$$b1
000834182 7001_ $$0P:(DE-HGF)0$$aBott, A.$$b2
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