New Global Static and Dynamic Ozone Profile Climatology - Validation, Comparison -
Jasmine Kaptur(1), Anton Kaifel(1) and Thilo Erbertseder(2)
(1) Center for Solar Energy & Hydrogen Research (ZSW), Industriestrasse 6, 70565 Stuttgart, Germany
(2) Deutsches Zentrum für Luft- und Raumfahrt (DLR), Münchner Straße 20, 82234 Weßling, Germany
A new NNORSY-GOME (Neural Network Ozone Retrieval System for GOME) data set covers 8 years of global ozone profiles up to 61 km height and at full spectral resolution. It includes about 43.000 NNORSY-GOME orbits in the time range from June 1995 to June 2003. This data set was used to derive new global ozone profile climatology products. The specifications of the different climatology in-/outputs were defined within a user consultation.
First a static look-up-table climatology (LUT) was produced. User get monthly mean ASCII ozone profiles in 2.5° latitude by 10° longitude bins. Ozone profiles are offered in number density on 31 altitude intervals up to 61 km and also in volume mixing ratio on 28 standard pressure levels. Output information include climatological ozone profiles and error information.
Furthermore a second and new approach based on neural network technique was followed to gain dynamical ozone profile climatology. To get ozone profiles optimized for current application besides information on date, time range and geographical position additionally total ozone and temperature profile can be used as dynamical input for a total of 4 differently specified neural networks. Each of them uses a separate combination of the named input parameters. Depending on the available input parameters the corresponding neural network is used to deliver a user specific climatological ozone profile. A software package for the dynamical climatology is available which comprises these 4 neural networks together with software tools for data conversion and interpolation. It allows the derivation of single climatological ozone profiles as well as user specific LUT climatologies.
Results of the different NNORSY-climatologies are presented. Also comparisons with other widely-used climatologies are shown.
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,