Artículo
Global validation of ENVISAT ozone profiles using lidar measurements
van Gijsel, J. A. E.; Swart, D. P. J.; Baray, J. L.; Claude, H.; Fehr, T.; von der Gathen, P.; Godin Beekmann, S.; Hansen, G. H.; Leblanc, T.; McDermid, I. S.; Meijer, Y. J.; Nakane, H.; Quel, Eduardo Jaime
; Steinbrecht, W.; Strawbridge, K.B.; Tatarov, B.; Wolfram, Elian Augusto
Fecha de publicación:
09/2009
Editorial:
Taylor & Francis Ltd
Revista:
International Journal of Remote Sensing
ISSN:
0143-1161
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Satellite sensors provide global measurements of ozone concentration that can be used to study the effects of the implementation of the Montreal Protocol. However, a key issue in deriving long-term ozone trends from successive satellite instruments is inter-comparability. Ground-based measurements offer continuous time series, but only at a few locations. The combination of ground-based measurements with satellite data is therefore an effective means to evaluate satellite instrument inter-comparability. In this study, we present validation results of ozone profiles from three atmospheric sensors onboard ENVISAT by comparison with lidar measurements. Results for the SCIAMACHY ozone profiles (version 3.01) show reasonable agreement with ground-based measurements (0 to -20%). The MIPAS full-resolution (version 4.61) dataset has good agreement with lidar (0 to 10%), whereas a small positive bias (up to 20%) was found for the MIPAS reduced-resolution prototype data. GOMOS dark-limb data (version 5.00) agree very well (0 ± 5%) with the correlative data, but underestimate ozone concentration at the polar regions.
Palabras clave:
Ozono
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Articulos(UNIDEF)
Articulos de UNIDAD DE INVESTIGACION Y DESARROLLO ESTRATEGICOS PARA LA DEFENSA
Articulos de UNIDAD DE INVESTIGACION Y DESARROLLO ESTRATEGICOS PARA LA DEFENSA
Citación
van Gijsel, J. A. E.; Swart, D. P. J.; Baray, J. L.; Claude, H.; Fehr, T.; et al.; Global validation of ENVISAT ozone profiles using lidar measurements; Taylor & Francis Ltd; International Journal of Remote Sensing; 30; 15-16; 9-2009; 3987-3994
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