Sixteen years of GOME/ERS-2 total ozone data: The new direct-fitting GOME Data Processor (GDP) version 5-Algorithm description

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Authors
Van Roozendael, M.
Spurr, R.
Loyola, D.
Lerot, C.
Balis, D.
Lambert, J.-C.
Zimmer, W.
Van Gent, J.
Van Geffen, J.
Koukouli, M.
Granville, J.
Doicu, A.
Fayt, C.
Zehner, C.
Discipline
Earth and related Environmental sciences
Subject
Algorithms
Molecular spectroscopy
Air mass factor
Brewer spectrophotometers
Data processors
Data records
Earthshine radiance
Fitting parameters
Flight models
Ground-based network
High resolution
High-pass filtering
Interference signal
Jacobians
Long term stability
Molecular rings
Operational retrieval algorithms
Ozone absorption
Ozone monitoring instruments
Ozone profiles
Radiative transfer simulations
Seasonal dependence
Semi-empirical
Solar zenith angle
Spectral fitting
Temperature profiles
Total ozone
Total ozone column
Total ozone data
Under-sampling
Validation results
Vertical columns
Ozone
air mass
albedo
algorithm
climatology
data set
database
ERS-2
GOME
monitoring system
numerical model
ozone
radiative transfer
spectrophotometry
temperature profile
time series
vertical profile
zenith angle
Audience
Scientific
Date
2012Metadata
Show full item recordDescription
The Global Ozone Monitoring Instrument (GOME) was launched in April 1995 on ESA's ERS-2 platform, and the GOME Data Processor (GDP) operational retrieval algorithm has produced total ozone columns since July 1995. We report on the new GDP5 spectral fitting algorithm used to reprocess the 16-year GOME data record. Previous GDP total ozone algorithms were based on the DOAS method. In contrast, GDP5 uses a direct-fitting algorithm without high-pass filtering of radiances; there is no air mass factor conversion to vertical column amount. GDP5 includes direct radiative transfer simulation of earthshine radiances and Jacobians with respect to total ozone, albedo closure and other ancillary fitting parameters - a temperature profile shift, and amplitudes for undersampling and Ring-effect interference signals. Simulations are based on climatological ozone profiles extracted from the TOMS Version 8 database, classified by total column. GDP5 uses the high-resolution Brion-Daumont-Malicet ozone absorption cross-sections, replacing older GOME-measured flight model data. The semi-empirical molecular Ring correction developed for GDP4 has been adapted for direct fitting. Cloud preprocessing for GDP5 is done using updated versions of cloud-correction algorithms OCRA and ROCINN. The reprocessed GOME GDP5 record maintains the remarkable long-term stability of time series already achieved with GDP4. Furthermore, validation results show a clear improvement in the accuracy of the ozone product with reduced solar zenith angle and seasonal dependences, particularly in comparison with correlative observations from the ground-based network of Brewer spectrophotometers.
Citation
Van Roozendael, M.; Spurr, R.; Loyola, D.; Lerot, C.; Balis, D.; Lambert, J.-C.; Zimmer, W.; Van Gent, J.; Van Geffen, J.; Koukouli, M.; Granville, J.; Doicu, A.; Fayt, C.; Zehner, C. (2012). Sixteen years of GOME/ERS-2 total ozone data: The new direct-fitting GOME Data Processor (GDP) version 5-Algorithm description. , Journal of Geophysical Research: Atmospheres, Vol. 117, Issue 3, D03305, DOI: 10.1029/2011JD016471.Identifiers
scopus: 2-s2.0-84857083229
Type
Article
Peer-Review
Yes
Language
eng