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Long timeseries of data increase the frequency resolution in the powerspectrum. This allows for resolving stochastically excited modes with long modelifetimes, as well as features that are close together in frequency. The CoRoTfields observed during the initial run and second long run partly overlap, andstars in this overlapping field observed in both runs are used to createtimeseries with a longer timespan than available from the individual runs. Weaim to measure the mode lifetimes of red giants and compare them withtheoretical predictions. We also investigate the dependence of the modelifetimes on frequency and the degree of the oscillation modes. We performsimulations to investigate the influence of the gap in the data between theinitial and second long run, the total length of the run and thesignal-to-noise ratio on the measured mode lifetime. This provides us with acorrection factor to apply to the mode lifetimes measured from a maximumlikelihood fit to the oscillation frequencies. We find that the length of thetimeseries, the signal-to-noise ratio and possible gaps do have anon-negligible effect on the measurements of the mode lifetime ofstochastically excited oscillation modes, but that we can correct for it. Forthe four stars for which we can perform a fit of the oscillation frequencies,we find that the mode lifetimes depend on frequency and on degree of the mode,which is in quantitative agreement with theoretical predictions.

Oscillation mode lifetimes of red giants observed during the initial and first anticentre long run of CoRoT