www.atmos-chem-phys.net/14/8533/2014/ doi:10.5194/acp-14-8533-2014 © Author(s) 2014. CC Attribution 3.0 License. Uncertainties in assessing the environmental impact of amine emissions from a CO2 capture plant

www.atmos-chem-phys.net/14/8533/2014/ doi:10.5194/acp-14-8533-2014 © Author(s) 2014. CC Attribution 3.0 License. Uncertainties in assessing the environmental impact of amine emissions from a CO2 capture plant

Uncertainties in assessing the environmental impact of amine emissions from a CO2 capture plant

www.atmos-chem-phys.net/14/3211/2014/ doi:10.5194/acp-14-3211-2014 © Author(s) 2014. CC Attribution 3.0 License. Atmospheric

www.atmos-chem-phys.net/14/9087/2014/

www.atmos-chem-phys.net/14/12099/2014/

doi:10.5194/acp-14-10363-2014

Abstract not found

Abstract. A new global atmospheric carbon dioxide (CO2) real-time forecast is now available as part of the pre-operational Monitoring of Atmospheric Composition and Climate – Interim Implementation (MACC-II) service us-ing the infrastructure of the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast-ing System (IFS). One of the strengths of the CO2 fore-casting system is that the land surface, including vegetation CO2 fluxes, is modelled online within the IFS. Other CO2 fluxes are prescribed from inventories and from off-line sta-tistical and physical models. The CO2 forecast also bene-fits from the transport modelling from a state-of-the-art nu-merical weather prediction (NWP) system initialized daily with a wealth of meteorological observations. This paper de-scribes the capability of the forecast in modelling the vari-

Supplementary Information The wind speed measurements were rotated following Wilczak et al. (2001) using 30-min averages, with the first rotation around the z-axis to give <v> = 0 and the second rotation around the y-axis to give <w> = 0, where v and w are the cross-wind and vertical velocities respectively (angular parentheses <> denote an average value). It was found that the second rotation resulted in unrealistic rotation angles due to low wind speeds in the understory. For this reason a fixed anemometer tilt of 2.0 o was determined based on the distribution of the second rotation angles as a function of the first rotation angle. VOC fluxes were calculated from the 1 to 6 m gradients using the diffusion equation, dz dρ K=ρ'w ' , (S1) where is the gas concentration, z is the height and K is the vertical diffusion coefficient, which is given (Garratt, 1994) as K = u * z / . (S2) Here = 0.4 is the von Karman constant, u * is the friction velocity calculated from the z = 1.8 m anemometer, and is the stability function, which is a function the Monin-Obukhov length, L, (Garratt, 1994) as,