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We present the results from an 8-year tropospheric chemistry  reanalysis for the period 2005–2012 obtained by assimilating  multiple data sets from the OMI, MLS, TES, and MOPITT  satellite instruments. The reanalysis calculation was conducted  using a global chemical transport model and an ensemble Kalman  filter technique that simultaneously optimises the chemical  concentrations of various species and emissions of several  precursors. The optimisation of both the concentration and the  emission fields is an efficient method to correct the entire  tropospheric profile and its year-to-year variations, and to adjust  various tracers chemically linked to the species  assimilated. Comparisons against independent aircraft, satellite,  and ozonesonde observations demonstrate the quality of the analysed  O<sub>3</sub>, NO<sub>2</sub>, and CO concentrations on regional  and global scales and for both seasonal and year-to-year variations  from the lower troposphere to the lower stratosphere. The data  assimilation statistics imply persistent reduction of model error  and improved representation of emission variability, but they also show  that discontinuities in the availability of the measurements lead to  a degradation of the reanalysis. The decrease in the number of  assimilated measurements increased the ozonesonde-minus-analysis  difference after 2010 and caused spurious variations in the  estimated emissions. The Northern/Southern Hemisphere OH  ratio was modified considerably due to the multiple-species  assimilation and became closer to an observational estimate, which  played an important role in propagating observational information  among various chemical fields and affected the emission  estimates. The consistent concentration and emission products  provide unique information on year-to-year variations in the  atmospheric environment

A tropospheric chemistry reanalysis for the years 2005–2012 based on an assimilation of OMI, MLS, TES, and MOPITT satellite data