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Titel |
Multi sensor reanalysis of total ozone |
VerfasserIn |
R. J. der A., M. A. F. Allaart, H. J. Eskes |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1680-7316
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Chemistry and Physics ; 10, no. 22 ; Nr. 10, no. 22 (2010-11-30), S.11277-11294 |
Datensatznummer |
250008921
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Publikation (Nr.) |
copernicus.org/acp-10-11277-2010.pdf |
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Zusammenfassung |
A single coherent total ozone dataset, called the Multi Sensor Reanalysis
(MSR), has been created from all available ozone column data measured by
polar orbiting satellites in the near-ultraviolet Huggins band in the last
thirty years. Fourteen total ozone satellite retrieval datasets from the
instruments TOMS (on the satellites Nimbus-7 and Earth Probe), SBUV
(Nimbus-7, NOAA-9, NOAA-11 and NOAA-16), GOME (ERS-2), SCIAMACHY (Envisat),
OMI (EOS-Aura), and GOME-2 (Metop-A) have been used in the MSR. As first
step a bias correction scheme is applied to all satellite observations,
based on independent ground-based total ozone data from the World Ozone and
Ultraviolet Data Center. The correction is a function of solar zenith angle,
viewing angle, time (trend), and effective ozone temperature. As second step
data assimilation was applied to create a global dataset of total ozone
analyses. The data assimilation method is a sub-optimal implementation of
the Kalman filter technique, and is based on a chemical transport model
driven by ECMWF meteorological fields. The chemical transport model provides
a detailed description of (stratospheric) transport and uses
parameterisations for gas-phase and ozone hole chemistry. The MSR dataset
results from a 30-year data assimilation run with the 14 corrected satellite
datasets as input, and is available on a grid of
1× 1 1/2° with a sample
frequency of 6 h for the complete time period (1978–2008). The
Observation-minus-Analysis (OmA) statistics show that the bias of the MSR
analyses is less than 1% with an RMS standard deviation of about 2%
as compared to the corrected satellite observations used. |
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