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New NNORSY-GOME-1 Global Ozone Profile Data Set

Anton Kaifel(1), Martin Felder(2), Jasmine Kaptur(1), Jean-Christopher Lambert(3) and Coralie de Clercq(3)

(1) Center for Solar Energy & Hydrogen Research (ZSW), Industriestr. 6, 70565 Stuttgart, Germany
(2) Leibniz Computing Center , Barer Straße 21, 80333 München, Germany
(3) Space Aeronomy Institute of Belgium, Avenue Circulaire 3, 1180 Bruxelles, Belgium


The Neural Network Ozone Retrieval System (NNORSY) was developed during the last years for total ozone and ozone profile retrieval from UV/VIS spectra (GOME-1) and total ozone column retrieval from IR satellite data (NOAA-TOVS). Version 1 of NNORSY-GOME-1 ozone profile retrieval was implemented for real-time processing of GOME-1 data at the DLR-DFD up to the failure of the tape recorder of ERS-2 on June 25, 2003 ( Latest developments for NNORSY-GOME-1 Version 2 yielded further improvements of retrieval accuracy and was applied to the whole GOME-1 data time range in order to generate a more than 9 year ozone profile data set with high vertical resolution at full GOME-1 spatial resolution. Comparison with other satellite ozone profile data products (SAGE, HALOE, POAM) as well as extensive geophysical validation against ozone sonde and lidar data as well as derived residual tropospheric ozone column will be presented. NNORSY processing is very fast and the ozone profile product has about the same or better accuracy as classical optimal estimation based retrieval schemes which makes NNORSY a candidate for further real-time processing on current or upcoming satellite sensors like SCIAMACHY on ENVISAT, OMI on EOS-AURA or GOME-2 on METOP.


Workshop presentation

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, atmospheric chemistry