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The SPARC water vapour assessment II: Profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites

Stefan Lossow 1 Farahnaz Khosrawi 1 Michael Kiefer 1 Kaley Walker 2 Jean-Loup Bertaux 3 Laurent Blanot 4 James M. Russell 5 Ellis Remsberg 6 John C. Gille 7, 8 Takafumi Sugita 9 Christopher Sioris 10 Bianca Dinelli 11 Enzo Papandrea 11, 12 Piera Raspollini 13 Maya García-Comas 14 Gabriele P. Stiller 1 Thomas von Clarmann 1 Anu Dudhia 15 William G. Read 16 Gerald E. Nedoluha 17 Robert P. Damadeo 6 Joseph M. Zawodny 6 Katja Weigel 18 Alexei Rozanov 18 Faiza Azam 18 Klaus Bramstedt 18 Stefan Noël 18 John P. Burrows 19 Hideo Sagawa 20 Yasuko Kasai 21 Joachim Urban 22 Patrick Eriksson 22 Donal P. Murtagh 22 Mark E. Hervig 23 Charlotta Högberg 24 Dale F. Hurst 25 Karen H. Rosenlof 25
Abstract : Within the framework of the second SPARC (Stratosphere-troposphere Processes And their Role in Climate) water vapour assessment (WAVAS-II), profile-to-profile comparisons of stratospheric and lower mesospheric water vapour were performed by considering 33 data sets derived from satellite observations of 15 different instruments. These comparisons aimed to provide a picture of the typical biases and drifts in the observational database and to identify data-set-specific problems. The observational database typically exhibits the largest biases below 70 hPa, both in absolute and relative terms. The smallest biases are often found between 50 and 5 hPa. Typically, they range from 0.25 to 0.5 ppmv (5 % to 10 %) in this altitude region, based on the 50 % percentile over the different comparison results. Higher up, the biases increase with altitude overall but this general behaviour is accompanied by considerable variations. Characteristic values vary between 0.3 and 1 ppmv (4 % to 20 %). Obvious data-set-specific bias issues are found for a number of data sets. In our work we performed a drift analysis for data sets overlapping for a period of at least 36 months. This assessment shows a wide range of drifts among the different data sets that are statistically significant at the 2σ uncertainty level. In general, the smallest drifts are found in the altitude range between about 30 and 10 hPa. Histograms considering results from all altitudes indicate the largest occurrence for drifts between 0.05 and 0.3 ppmv decade−1. Comparisons of our drift estimates to those derived from comparisons of zonal mean time series only exhibit statistically significant differences in slightly more than 3 % of the comparisons. Hence, drift estimates from profile-to-profile and zonal mean time series comparisons are largely interchangeable. As for the biases, a number of data sets exhibit prominent drift issues. In our analyses we found that the large number of MIPAS data sets included in the assessment affects our general results as well as the bias summaries we provide for the individual data sets. This is because these data sets exhibit a relative similarity with respect to the remaining data sets, despite the fact that they are based on different measurement modes and different processors implementing different retrieval choices. Because of that, we have by default considered an aggregation of the comparison results obtained from MIPAS data sets. Results without this aggregation are provided on multiple occasions to characterise the effects due to the numerous MIPAS data sets. Among other effects, they cause a reduction of the typical biases in the observational database.
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Stefan Lossow, Farahnaz Khosrawi, Michael Kiefer, Kaley Walker, Jean-Loup Bertaux, et al.. The SPARC water vapour assessment II: Profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites. Atmospheric Measurement Techniques, European Geosciences Union, 2019, 12 (5), pp.2693-2732. ⟨10.5194/amt-12-2693-2019⟩. ⟨insu-01922020⟩



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