Model estimations of geophysical variability between satellite measurements of ozone profiles

Abstract. In order to validate satellite measurements of atmospheric composition, it is necessary understand the range random and systematic uncertainties inherent in measurements. On occasions where from two different instruments do not agree within those estimated uncertainties, a common explanation that difference can be assigned geophysical variability, i.e., differences due sampling atmosphere at times locations. However, expected variability often left ambiguous rarely quantified. This paper describes case study O3 between – ACE-FTS (Atmospheric Chemistry Experiment Fourier Transform Spectrometer) OSIRIS (Optical Spectrograph InfraRed Imaging System) using simulations climate models. done by models CMAM (Canadian Middle Atmosphere Model), EMAC (ECHAM/MESSy Atmospheric Chemistry), WACCM (Whole Community Climate Model) throughout upper troposphere stratosphere geolocations coincident Ensemble mean values show lower stratosphere, tends independent chosen time coincidence criterion, up 12 h; conversely, variation distance 2000 km. It was also found altitudes there greatest air composition inside outside polar vortex, southern region double northern region. shows ensemble estimates used when comparing data optimize criteria, allowing for use more profiles while providing an estimate comparison results.