Intercomparison of ILAS-II version 1.4 and version 2 target parameters with MIPAS-Envisat measurements
- 1National Institute for Environmental Studies (NIES), Tsukuba, Japan
- 2Inst. für Meteorologie und Klimaforschung (IMK), Forschungszentrum Karlsruhe und Univ. Karlsruhe, Karlsruhe, Germany
- *now at: Service d'Aéronomie, CNRS, Verrières-le-Buisson, France
- **now at: Laboratoire des Sciences du Climat et de l'Environnement CEA/CNRS/UVSQ-IPSL, Gif-sur-Yvette, France
- ***now at: Institutionen för Rymdvetenskap, Luleå Tekniska Universitet, Kiruna, Sweden
Abstract. This paper assesses the mean differences between the two ILAS-II data versions (1.4 and 2) by comparing them with MIPAS measurements made between May and October 2003. For comparison with ILAS-II results, MIPAS data processed at the Institut für Meteorologie und Klimaforschung, Karlsruhe, Germany (IMK) in cooperation with the Instituto de Astrofísica de Andalucía (IAA) in Granada, Spain, were used. The coincidence criteria of ±300 km in space and ±12 h in time for H2O, N2O, and CH4 and the coincidence criteria of ±300 km in space and ±6 h in time for ClONO2, O3, and HNO3 were used. The ILAS-II data were separated into sunrise (= Northern Hemisphere) and sunset (= Southern Hemisphere). For the sunrise data, a clear improvement from version 1.4 to version 2 was observed for H2O, CH4, ClONO2, and O3. In particular, the ILAS-II version 1.4 mixing ratios of H2O and CH4 were unrealistically small, and those of ClONO2 above altitudes of 30 km unrealistically large. For N2O and HNO3, there were no large differences between the two versions. Contrary to the Northern Hemisphere, where some exceptional profiles deviated significantly from known climatology, no such outlying profiles were found in the Southern Hemisphere for both versions. Generally, the ILAS-II version 2 data were in better agreement with the MIPAS data than the version 1.4, and are recommended for quantitative analysis in the stratosphere. For H2O data in the Southern Hemisphere, further data quality evaluation is necessary.