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The SPARC water vap...
The SPARC water vapour assessment II: Profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
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- Lossow, Stefan, 1977 (författare)
- Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
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- Khosrawi, F. (författare)
- Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
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- Kiefer, M. (författare)
- Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
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- Walker, K.A. (författare)
- University of Toronto
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- Bertaux, Jean Loup (författare)
- Universite de Versailles Saint-Quentin-en-Yvelines
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- Blanot, Laurent (författare)
- ACRI-ST
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- Russell, J. M. (författare)
- Hampton University
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- Remsberg, E. (författare)
- NASA Langley Research Center
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- Gille, John C. (författare)
- National Center for Atmospheric Research,University of Colorado at Boulder
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- Sugita, Takafumi (författare)
- National Institute for Environmental Studies,National Institute for Environmental Studies of Japan
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- Sioris, C. E. (författare)
- Environment and Climate Change Canada
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- Dinelli, B. M. (författare)
- Institute of Atmospheric Sciences and Climate, Bologna
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- Papandrea, Enzo (författare)
- Institute of Atmospheric Sciences and Climate, Bologna
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- Raspollini, P. (författare)
- Consiglo Nazionale Delle Richerche
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- Garcia-Comas, M. (författare)
- Instituto de Astrofisica de Andalucía (IAA),Institute of Astrophysics of Andalusia (IAA)
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- Stiller, G. P. (författare)
- Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
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- Clarmann, T. von (författare)
- Karlsruher Institut für Technologie (KIT),Karlsruhe Institute of Technology (KIT)
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- Dudhia, Anu (författare)
- University Of Oxford
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Read, William G. (författare)
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- Nedoluha, G.E. (författare)
- Naval Research Laboratory
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- Damadeo, R. (författare)
- NASA Langley Research Center
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- Zawodny, J.M. (författare)
- NASA Langley Research Center
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- Weigel, K. (författare)
- Universität Bremen
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- Rozanov, A. (författare)
- Universität Bremen
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- Azam, F. (författare)
- Universität Bremen
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- Bramstedt, K. (författare)
- Universität Bremen
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- Noël, S. (författare)
- Universität Bremen
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- Burrows, J. (författare)
- Universität Bremen
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- Sagawa, H. (författare)
- Kyoto Sangyo University
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- Kasai, Yasuko (författare)
- Japan National Institute of Information and Communications Technology (NICT)
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- Urban, Joachim (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Eriksson, Patrick, 1964 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Murtagh, Donal, 1959 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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Hervig, M.E. (författare)
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- Högberg, Charlotta (författare)
- Stockholms universitet,Institutionen för naturgeografi,Stockholm University
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- Hurst, D. (författare)
- National Oceanic and Atmospheric Administration
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- Rosenlof, Karen H. (författare)
- National Oceanic and Atmospheric Administration
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(creator_code:org_t)
- 2019-05-10
- 2019
- Engelska.
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Ingår i: Atmospheric Measurement Techniques. - : Copernicus GmbH. - 1867-1381 .- 1867-8548. ; 12:5, s. 2693-2732
- Relaterad länk:
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https://research.cha... (primary) (free)
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https://www.atmos-me...
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https://doi.org/10.5...
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https://doi.org/10.5...
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https://research.cha...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- This work is distributed under the Creative Commons Attribution 4.0 License. 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 2 σ 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.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
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- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Lossow, Stefan, ...
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Khosrawi, F.
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Kiefer, M.
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Walker, K.A.
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Bertaux, Jean Lo ...
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Blanot, Laurent
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visa fler...
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Russell, J. M.
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Remsberg, E.
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Gille, John C.
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Sugita, Takafumi
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Sioris, C. E.
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Dinelli, B. M.
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Papandrea, Enzo
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Raspollini, P.
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Garcia-Comas, M.
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Stiller, G. P.
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Clarmann, T. von
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Dudhia, Anu
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Read, William G.
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Nedoluha, G.E.
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Damadeo, R.
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Zawodny, J.M.
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Weigel, K.
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Rozanov, A.
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Azam, F.
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Bramstedt, K.
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Noël, S.
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Burrows, J.
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Sagawa, H.
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Kasai, Yasuko
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Urban, Joachim
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Eriksson, Patric ...
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Murtagh, Donal, ...
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Hervig, M.E.
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Högberg, Charlot ...
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Hurst, D.
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Rosenlof, Karen ...
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- Om ämnet
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- NATURVETENSKAP
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NATURVETENSKAP
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och Biologi
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och Bioinformatik oc ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Geovetenskap och ...
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och Oceanografi hydr ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Matematik
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och Sannolikhetsteor ...
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- NATURVETENSKAP
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NATURVETENSKAP
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och Geovetenskap och ...
- Artiklar i publikationen
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Atmospheric Meas ...
- Av lärosätet
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Chalmers tekniska högskola
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Stockholms universitet