 |
| Titel |
A geostationary thermal infrared sensor to monitor the lowermost troposphere: O3 and CO retrieval studies |
| VerfasserIn |
M. Claeyman, J.-L. Attié, V.-H. Peuch, L. Amraoui, W. A. Lahoz, B. Josse, P. Ricaud, T. Clarmann, M. Höpfner, J. Orphal, J.-M. Flaud, D. P. Edwards, K. Chance, X. Liu, F. Pasternak, R. Cantié |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 4, no. 2 ; Nr. 4, no. 2 (2011-02-16), S.297-317 |
| Datensatznummer |
250001676
|
| Publikation (Nr.) |
 copernicus.org/amt-4-297-2011.pdf |
|
|
|
|
|
| Zusammenfassung |
| This paper describes the capabilities of a nadir thermal infrared (TIR)
sensor proposed for deployment onboard a geostationary platform to monitor
ozone (O3) and carbon monoxide (CO) for air quality (AQ) purposes. To
assess the capabilities of this sensor we perform idealized retrieval studies
considering typical atmospheric profiles of O3 and CO over Europe with
different instrument configuration (signal to noise ratio, SNR, and spectral
sampling interval, SSI) using the KOPRA forward model and the KOPRA-fit
retrieval scheme. We then select a configuration, referred to as GEO-TIR,
optimized for providing information in the lowermost troposphere (LmT; 0–3 km
in height). For the GEO-TIR configuration we obtain ~1.5 degrees of
freedom for O3 and ~2 for CO at altitudes between 0 and 15 km. The
error budget of GEO-TIR, calculated using the principal contributions to the
error (namely, temperature, measurement error, smoothing error) shows that
information in the LmT can be achieved by GEO-TIR. We also retrieve analogous
profiles from another geostationary infrared instrument with SNR and SSI
similar to the Meteosat Third Generation Infrared Sounder (MTG-IRS) which is
dedicated to numerical weather prediction, referred to as GEO-TIR2. We
quantify the added value of GEO-TIR over GEO-TIR2 for a realistic atmosphere,
simulated using the chemistry transport model MOCAGE (MOdèle de Chimie
Atmospherique à Grande Echelle). Results show that GEO-TIR is able to
capture well the spatial and temporal variability in the LmT for both O3
and CO. These results also provide evidence of the significant added value in
the LmT of GEO-TIR compared to GEO-TIR2 by showing GEO-TIR is closer to
MOCAGE than GEO-TIR2 for various statistical parameters (correlation, bias,
standard deviation). |
| |
|
| Teil von |
|
|
|
|
|
|
|
|