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We present an original multi-spectrum fitting procedure to retrieve volumemixing ratio (VMR) profiles of carbonyl fluoride (COF2) fromground-based high resolution Fourier transform infrared (FTIR) solarspectra. The multi-spectrum approach consists of simultaneously combining,during the retrievals, all spectra recorded consecutively during the sameday and with the same resolution. Solar observations analyzed in this studywith the SFIT-2 v3.91 fitting algorithm correspond to more than 2900 spectrarecorded between January 2000 and December 2007 at high zenith angles, witha Fourier Transform Spectrometer operated at the high-altitude InternationalScientific Station of the Jungfraujoch (ISSJ, 46.5° N latitude, 8.0° Elongitude, 3580 m altitude), Switzerland. The goal of the retrieval strategydescribed here is to provide information about the vertical distribution ofcarbonyl fluoride. The microwindows used are located in the ν4 orin the ν4 COF2 infrared (IR) absorption bands. Averagingkernel and eigenvector analysis indicates that our FTIR retrieval issensitive to COF2 inversion between 17 and 30 km, with the majorcontribution to the retrieved information always coming from themeasurement. Moreover, there was no significant bias between COF2partial columns, total columns or VMR profiles retrieved from the two bands.For each wavenumber region, a complete error budget including all identifiedsources has been carefully established. In addition, comparisons of FTIRCOF2 17–30 km partial columns with KASIMA and SLIMCAT 3-D CTMs are alsopresented. If we do not notice any significant bias between FTIR and SLIMCATtime series, KASIMA COF2 17–30 km partial columns are lower of around25%, probably due to incorrect lower boundary conditions. For each timesseries, linear trend estimation for the 2000–2007 time period as well as aseasonal variation study are also performed and critically discussed. ForFTIR and KASIMA time series, very low COF2 growth rates (0.4±0.2%/year and 0.3±0.2%/year, respectively) have been derived.However, the SLIMCAT data set gives a slight negative trend (−0.5±0.2%/year), probably ascribable to discontinuities in the meteorologicaldata used by this model. We further demonstrate that all time series areable to reproduce the COF2 seasonal cycle, which main seasonalcharacteristics deduced from each data set agree quite well

atmospheric chemistry and physics

An approach to retrieve information on the carbonyl fluoride (COF&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt;) vertical distributions above Jungfraujoch by FTIR multi-spectrum multi-window fitting