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Multi-year stratospheric and tropospheric ozone record by assimilating ERS2-GOME observations

Thilo Erbertseder(1), Anton Kaifel(2), Pieter Valks(1) and Diego Loyola(1)

(1) DLR, Oberpfaffenhofen, 82234 Wessling, Germany
(2) ZSW, Industriestr. 6, 70565 Stuttgart, Germany

Abstract

Global stratospheric analyses and tropospheric column ozone are derived using 9 years of GOME-NNORSY and GOME-GDP 4.0 ozone data. By means of assimilating GOME stratospheric ozone profiles as derived by the Neural Network Ozone Retrieval System (NNORSY) and ozone column observations into the chemistry-transport model ROSE/DLR, the tropospheric residual ozone column is calculated. Sequential assimilation is performed using an optimum sequential interpolation scheme with diagnostic background errors. To make best use of NNORSY profile data improved assimilation parameters are derived. The assimilation consistency is checked by analysing chi2-diagnostics and observation minus first guess errors. Results will be discussed with respect to seasonal variations and particular atmospheric conditions. The study is complemented by comparisons with ozone sonde measurements, with air quality model fields, and with other tropospheric ozone retrieval methods applied to GOME data, such as the Convective Cloud Differential (CCD) method.

 

Workshop poster

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