Compilation of a NOx Emission Inventory for the Balkan Region Using Satellite Tropospheric NO2 Columns
The important improvements in the quality of space-born tropospheric trace gas estimates have permitted their use, in combination with inverse atmospheric modelling, to obtain evolved top-down pollutant emission estimates. In this study, inverse modeling is applied to the case of tropospheric nitrogen dioxide (NO2) columns as seen by the OMI/Aura instrument and estimated by the Comprehensive Air Quality Model with extensions (CAMx). The main idea is to use the a priori information from the bottom up emission inventory used in the CAMx model, the tropospheric NO2 quantities estimated by the CAMx runs and the tropospheric NO2 columns deduced by the satellite observations to create an a posteriori NOx emission inventory. This new inventory, constrained in the top-down manner by the satellite estimates, can be used anew in the CAMx model to produce a new modeled NOx product. This work has identified biases in the original emission inventory for instance due to missing emission sources or over-estimation of the spread of emission sources and has proved an improved bottom-up emissions inventory.
KeywordsEmission Inventory Balkan Peninsula Balkan Region Mass Balance Method Biomass Burning Emission
The research study was financed by the EU research projects: Monitoring Atmospheric Composition and Climate: Grant Agreement no. 218793 and Global and regional Earth-system Monitoring using Satellite and in-situ data, contract no.: 516099.
- Flemming J (2008) Technical description of the coupled forecast system IFS-CTM for global reactive gases forecast and assimilation in GEMS, available at http://gems.ecmwf.int/do/get/PublicDocuments/1534/1052?showfile
- Friedrich R (1997) GENEMIS: assessment, improvement, temporal and spatial disaggregation of European emission data. In: Ebel A, Friedrich R, Rhode H (eds) Tropospheric modelling and emission estimation (Part 2). Springer, New YorkGoogle Scholar
- Prather MJ, Ehhalt D (2001) In: Climate change 2001: the science of climate change, intergovernmental panel on climate change. Cambridge University Press, Cambridge, p 241Google Scholar
- Van der A RJ et al (2008) Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space. J Geophys Res 113:D04302. doi:10.1029/2007JD009021Google Scholar
- Visschedijk A, Zandveld P, van der Gon DH (2007) A high resolution gridded European emission database for the EU integrated project GEMS. TNO report 2007-A-R0233/BGoogle Scholar