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| Titel |
First steps towards the assimilation of IASI ozone data into the MOCAGE-PALM system |
| VerfasserIn |
S. Massart, C. Clerbaux, D. Cariolle, A. Piacentini, S. Turquety, J. Hadji-Lazaro |
| 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 ; 9, no. 14 ; Nr. 9, no. 14 (2009-07-28), S.5073-5091 |
| Datensatznummer |
250007533
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| Publikation (Nr.) |
 copernicus.org/acp-9-5073-2009.pdf |
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| Zusammenfassung |
| With the use of data assimilation, we study the quality of the Infrared
Atmospheric Sounding Interferometer (IASI) total ozone column measurements. The
IASI data are provided by the inversion of IASI radiances performed at the
Laboratoire ATmosphères, Milieux, Observations Spatiales (LATMOS). This data
set is initially compared on a five-month period to a three-dimensional time
varying ozone field that we take as a reference. This reference field results
from the combined assimilation of ozone profiles from the Microwave Limb Sounder
(MLS) instrument and of total ozone columns from the SCanning
Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY) instrument. It has low
systematic and random errors when compared to ozonesondes and Ozone Monitoring
Instrument (OMI) data. The comparison shows that on average, the LATMOS-IASI
data tends to overestimate the total ozone columns by 2% to 8%. The random
observation error of the LATMOS-IASI data is estimated to about 7%, except over
polar regions and deserts where it is higher. The daytime data have generally
lower biases but higher random error than the nighttime data. Using this
information, the LATMOS-IASI data are then assimilated, combined with the MLS
data. This first LATMOS-IASI data assimilation experiment shows that the
resulting analysis is quite similar to the one obtained from the combined MLS
and SCIAMACHY data assimilation. The differences are mainly due to the lack of
SCIAMACHY measurements during polar night, and to the higher LATMOS-IASI random
errors especially over the southern polar region. |
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