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

<p>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 ob...

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Main Authors: S. Lossow, F. Khosrawi, M. Kiefer, K. A. Walker, J.-L. Bertaux, L. Blanot, J. M. Russell, E. E. Remsberg, J. C. Gille, T. Sugita, C. E. Sioris, B. M. Dinelli, E. Papandrea, P. Raspollini, M. García-Comas, G. P. Stiller, T. von Clarmann, A. Dudhia, W. G. Read, G. E. Nedoluha, R. P. Damadeo, J. M. Zawodny, K. Weigel, A. Rozanov, F. Azam, K. Bramstedt, S. Noël, J. P. Burrows, H. Sagawa, Y. Kasai, J. Urban, P. Eriksson, D. P. Murtagh, M. E. Hervig, C. Högberg, D. F. Hurst, K. H. Rosenlof
Format: Article
Language:English
Published: Copernicus Publications 2019-05-01
Series:Atmospheric Measurement Techniques
Online Access:https://www.atmos-meas-tech.net/12/2693/2019/amt-12-2693-2019.pdf
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author S. Lossow
F. Khosrawi
M. Kiefer
K. A. Walker
J.-L. Bertaux
L. Blanot
J. M. Russell
E. E. Remsberg
J. C. Gille
J. C. Gille
T. Sugita
C. E. Sioris
B. M. Dinelli
E. Papandrea
E. Papandrea
P. Raspollini
M. García-Comas
G. P. Stiller
T. von Clarmann
A. Dudhia
W. G. Read
G. E. Nedoluha
R. P. Damadeo
J. M. Zawodny
K. Weigel
A. Rozanov
F. Azam
K. Bramstedt
S. Noël
J. P. Burrows
H. Sagawa
Y. Kasai
J. Urban
J. Urban
P. Eriksson
D. P. Murtagh
M. E. Hervig
C. Högberg
D. F. Hurst
K. H. Rosenlof
author_facet S. Lossow
F. Khosrawi
M. Kiefer
K. A. Walker
J.-L. Bertaux
L. Blanot
J. M. Russell
E. E. Remsberg
J. C. Gille
J. C. Gille
T. Sugita
C. E. Sioris
B. M. Dinelli
E. Papandrea
E. Papandrea
P. Raspollini
M. García-Comas
G. P. Stiller
T. von Clarmann
A. Dudhia
W. G. Read
G. E. Nedoluha
R. P. Damadeo
J. M. Zawodny
K. Weigel
A. Rozanov
F. Azam
K. Bramstedt
S. Noël
J. P. Burrows
H. Sagawa
Y. Kasai
J. Urban
J. Urban
P. Eriksson
D. P. Murtagh
M. E. Hervig
C. Högberg
D. F. Hurst
K. H. Rosenlof
author_sort S. Lossow
collection DOAJ
description <p>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&thinsp;<span class="inline-formula">hPa</span>, both in absolute and relative terms. The smallest biases are often found between 50 and 5&thinsp;<span class="inline-formula">hPa</span>. Typically, they range from 0.25 to 0.5&thinsp;<span class="inline-formula">ppmv</span> (5&thinsp;% to 10&thinsp;%) in this altitude region, based on the 50&thinsp;% 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&thinsp;<span class="inline-formula">ppmv</span> (4&thinsp;% to 20&thinsp;%). 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<span class="inline-formula"><i>σ</i></span> uncertainty level. In general, the smallest drifts are found in the altitude range between about 30 and 10&thinsp;<span class="inline-formula">hPa</span>. Histograms considering results from all altitudes indicate the largest occurrence for drifts between 0.05 and 0.3&thinsp;<span class="inline-formula">ppmv decade<sup>−1</sup></span>. 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&thinsp;% 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.</p>
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spelling doaj.art-bd575ea2798c4b7da6d5b65d96629b4a2022-12-22T01:59:30ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-05-01122693273210.5194/amt-12-2693-2019The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellitesS. Lossow0F. Khosrawi1M. Kiefer2K. A. Walker3J.-L. Bertaux4L. Blanot5J. M. Russell6E. E. Remsberg7J. C. Gille8J. C. Gille9T. Sugita10C. E. Sioris11B. M. Dinelli12E. Papandrea13E. Papandrea14P. Raspollini15M. García-Comas16G. P. Stiller17T. von Clarmann18A. Dudhia19W. G. Read20G. E. Nedoluha21R. P. Damadeo22J. M. Zawodny23K. Weigel24A. Rozanov25F. Azam26K. Bramstedt27S. Noël28J. P. Burrows29H. Sagawa30Y. Kasai31J. Urban32J. Urban33P. Eriksson34D. P. Murtagh35M. E. Hervig36C. Högberg37D. F. Hurst38K. H. Rosenlof39Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen, GermanyKarlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen, GermanyKarlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen, GermanyUniversity of Toronto, Department of Physics, 60 St. George Street, Toronto, ON M5S 1A7, CanadaLATMOS, CNRS/UVSQ/IPSL, Quartier des Garennes, 11 Boulevard d'Alembert, 78280 Guyancourt, FranceACRI-ST, 260 Route du Pin Montard, 06904 Sophia-Antipolis CEDEX, FranceHampton University, Center for Atmospheric Sciences, 23 Tyler Street, Hampton, VA 23669, USANASA Langley Research Center, 21 Langley Boulevard, Hampton, VA 23681, USANational Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, P.O. Box 3000, Boulder, CO 80307-3000, USAUniversity of Colorado, Atmospheric and Oceanic Sciences, Boulder, CO 80309-0311, USANational Institute for Environmental Studies, Center for Global Environmental Research, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, JapanEnvironment and Climate Change Canada, 4905 Dufferin Street, Toronto, ON M3H 5T4, CanadaIstituto di Scienze dell'Atmosfera e del Clima del Consiglio Nazionale delle Ricerche (ISAC-CNR), Via Gobetti, 101, 40129 Bologna, ItalyIstituto di Scienze dell'Atmosfera e del Clima del Consiglio Nazionale delle Ricerche (ISAC-CNR), Via Gobetti, 101, 40129 Bologna, ItalySerco SpA, Via Sciadonna, 24–26, 00044 Frascati, ItalyIstituto di Fisica Applicata del Consiglio Nazionale delle Ricerche (IFAC-CNR), Via Madonna del Piano, 10, 50019 Sesto Fiorentino, ItalyInstituto de Astrofísica de Andalucía (IAA-CSIC), Glorieta de la Astronomía, 18008 Granada, SpainKarlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen, GermanyKarlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Hermann-von-Helmholtz-Platz 1, 76344 Leopoldshafen, GermanyUniversity of Oxford, Atmospheric Physics, Clarendon Laboratory, Parks Road, Oxford OX1 3PU, UKJet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109, USANaval Research Laboratory, Remote Sensing Division, 4555 Overlook Avenue Southwest, Washington, DC 20375, USANASA Langley Research Center, 21 Langley Boulevard, Hampton, VA 23681, USANASA Langley Research Center, 21 Langley Boulevard, Hampton, VA 23681, USAUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyUniversity of Bremen, Institute of Environmental Physics, Otto-Hahn-Allee 1, 28334 Bremen, GermanyKyoto Sangyo University, Faculty of Science, Motoyama, Kamigamo, Kita-ku, Kyoto 603-8555, JapanNational Institute of Information and Communications Technology (NICT), 20 THz Research Center, 4-2-1 Nukui-kita, Koganei, Tokyo 184-8795, JapanChalmers University of Technology, Department of Space, Earth and Environment, Hörsalsvägen 11, 41296 Göteborg, Swedendeceased, 14 August 2014Chalmers University of Technology, Department of Space, Earth and Environment, Hörsalsvägen 11, 41296 Göteborg, SwedenChalmers University of Technology, Department of Space, Earth and Environment, Hörsalsvägen 11, 41296 Göteborg, SwedenGATS Inc., 65 South Main Street #5, Driggs, ID 83442, USADepartment of Physical Geography, Stockholm University, Svante-Arrhenius-väg 8, 10691 Stockholm, SwedenNOAA Earth System Research Laboratory, Global Monitoring Division, 325 Broadway, Boulder, CO 80305, USANOAA Earth System Research Laboratory, Global Monitoring Division, 325 Broadway, Boulder, CO 80305, USA<p>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&thinsp;<span class="inline-formula">hPa</span>, both in absolute and relative terms. The smallest biases are often found between 50 and 5&thinsp;<span class="inline-formula">hPa</span>. Typically, they range from 0.25 to 0.5&thinsp;<span class="inline-formula">ppmv</span> (5&thinsp;% to 10&thinsp;%) in this altitude region, based on the 50&thinsp;% 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&thinsp;<span class="inline-formula">ppmv</span> (4&thinsp;% to 20&thinsp;%). 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<span class="inline-formula"><i>σ</i></span> uncertainty level. In general, the smallest drifts are found in the altitude range between about 30 and 10&thinsp;<span class="inline-formula">hPa</span>. Histograms considering results from all altitudes indicate the largest occurrence for drifts between 0.05 and 0.3&thinsp;<span class="inline-formula">ppmv decade<sup>−1</sup></span>. 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&thinsp;% 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.</p>https://www.atmos-meas-tech.net/12/2693/2019/amt-12-2693-2019.pdf
spellingShingle S. Lossow
F. Khosrawi
M. Kiefer
K. A. Walker
J.-L. Bertaux
L. Blanot
J. M. Russell
E. E. Remsberg
J. C. Gille
J. C. Gille
T. Sugita
C. E. Sioris
B. M. Dinelli
E. Papandrea
E. Papandrea
P. Raspollini
M. García-Comas
G. P. Stiller
T. von Clarmann
A. Dudhia
W. G. Read
G. E. Nedoluha
R. P. Damadeo
J. M. Zawodny
K. Weigel
A. Rozanov
F. Azam
K. Bramstedt
S. Noël
J. P. Burrows
H. Sagawa
Y. Kasai
J. Urban
J. Urban
P. Eriksson
D. P. Murtagh
M. E. Hervig
C. Högberg
D. F. Hurst
K. H. Rosenlof
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
title The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
title_full The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
title_fullStr The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
title_full_unstemmed The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
title_short The SPARC water vapour assessment II: profile-to-profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
title_sort sparc water vapour assessment ii profile to profile comparisons of stratospheric and lower mesospheric water vapour data sets obtained from satellites
url https://www.atmos-meas-tech.net/12/2693/2019/amt-12-2693-2019.pdf
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AT mehervig sparcwatervapourassessmentiiprofiletoprofilecomparisonsofstratosphericandlowermesosphericwatervapourdatasetsobtainedfromsatellites
AT chogberg sparcwatervapourassessmentiiprofiletoprofilecomparisonsofstratosphericandlowermesosphericwatervapourdatasetsobtainedfromsatellites
AT dfhurst sparcwatervapourassessmentiiprofiletoprofilecomparisonsofstratosphericandlowermesosphericwatervapourdatasetsobtainedfromsatellites
AT khrosenlof sparcwatervapourassessmentiiprofiletoprofilecomparisonsofstratosphericandlowermesosphericwatervapourdatasetsobtainedfromsatellites