NEW OZONE PROFILE CLIMATOLOGY: STATIC AND DYNAMIC APPROACH

摘要

In the scope of the ESA funded project "CHEOPS-GOME" (Climatology of Height-resolved Earth Ozone and Profiling Systems for GOME) a new up-to-date ozone profile climatology was gained. The Neural Network Ozone Retrieval System (NNORSY) was developed at the Center for Solar energy and Hydrogen Research (ZSW) for retrieval of total ozone columns and/or ozone profiles and applied on several satellite instruments, e.g. the TOVS (TIROS Operational Vertical Sounder) and GOME (Global Ozone Monitoring Experiment). Besides three look-up-table climatologies (LUTs) a dynamical software climatology based on neural network technique was developed (NN). The emphasize of this papter lies on the improvements gained by that dynamic approach. The NNORSY-CLIMATOLOGY was validated and compared to existent ozone climatologies. Examples of applications are presented. It is shown, that adding dynamical input information significantly improves the climatological ozone profile. All climatology products including software for dynamic version are freely available at .