Literature DB >> 28966693

The Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database: a long-term database for climate studies.

Sean M Davis1,2, Karen H Rosenlof1, Birgit Hassler1,2, Dale F Hurst1,2, William G Read3, Holger Vömel4, Henry Selkirk5,6, Masatomo Fujiwara7, Robert Damadeo8.   

Abstract

In this paper, we describe the construction of the Stratospheric Water and Ozone Satellite Homogenized (SWOOSH) database, which includes vertically resolved ozone and water vapor data from a subset of the limb profiling satellite instruments operating since the 1980s. The primary SWOOSH products are zonal-mean monthly-mean time series of water vapor and ozone mixing ratio on pressure levels (12 levels per decade from 316 to 1 hPa). The SWOOSH pressure level products are provided on several independent zonal-mean grids (2.5, 5, and 10°), and additional products include two coarse 3-D griddings (30° long × 10° lat, 20° × 5°) as well as a zonal-mean isentropic product. SWOOSH includes both individual satellite source data as well as a merged data product. A key aspect of the merged product is that the source records are homogenized to account for inter-satellite biases and to minimize artificial jumps in the record. We describe the SWOOSH homogenization process, which involves adjusting the satellite data records to a "reference" satellite using coincident observations during time periods of instrument overlap. The reference satellite is chosen based on the best agreement with independent balloon-based sounding measurements, with the goal of producing a long-term data record that is both homogeneous (i.e., with minimal artificial jumps in time) and accurate (i.e., unbiased). This paper details the choice of reference measurements, homogenization, and gridding process involved in the construction of the combined SWOOSH product and also presents the ancillary information stored in SWOOSH that can be used in future studies of water vapor and ozone variability. Furthermore, a discussion of uncertainties in the combined SWOOSH record is presented, and examples of the SWOOSH record are provided to illustrate its use for studies of ozone and water vapor variability on interannual to decadal timescales. The version 2.5 SWOOSH data are publicly available at doi:10.7289/V5TD9VBX.

Entities:  

Year:  2016        PMID: 28966693      PMCID: PMC5619261          DOI: 10.5194/essd-8-461-2016

Source DB:  PubMed          Journal:  Earth Syst Sci Data        ISSN: 1866-3508            Impact factor:   11.333


  3 in total

1.  Unprecedented Arctic ozone loss in 2011.

Authors:  Gloria L Manney; Michelle L Santee; Markus Rex; Nathaniel J Livesey; Michael C Pitts; Pepijn Veefkind; Eric R Nash; Ingo Wohltmann; Ralph Lehmann; Lucien Froidevaux; Lamont R Poole; Mark R Schoeberl; David P Haffner; Jonathan Davies; Valery Dorokhov; Hartwig Gernandt; Bryan Johnson; Rigel Kivi; Esko Kyrö; Niels Larsen; Pieternel F Levelt; Alexander Makshtas; C Thomas McElroy; Hideaki Nakajima; Maria Concepción Parrondo; David W Tarasick; Peter von der Gathen; Kaley A Walker; Nikita S Zinoviev
Journal:  Nature       Date:  2011-10-02       Impact factor: 49.962

2.  Contributions of stratospheric water vapor to decadal changes in the rate of global warming.

Authors:  Susan Solomon; Karen H Rosenlof; Robert W Portmann; John S Daniel; Sean M Davis; Todd J Sanford; Gian-Kasper Plattner
Journal:  Science       Date:  2010-01-28       Impact factor: 47.728

3.  Validation of Aura Microwave Limb Sounder stratospheric water vapor measurements by the NOAA frost point hygrometer.

Authors:  Dale F Hurst; Alyn Lambert; William G Read; Sean M Davis; Karen H Rosenlof; Emrys G Hall; Allen F Jordan; Samuel J Oltmans
Journal:  J Geophys Res Atmos       Date:  2014-02-06       Impact factor: 4.261

  3 in total
  6 in total

1.  The GEWEX Water Vapor Assessment archive of water vapour products from satellite observations and reanalyses.

Authors:  Marc Schröder; Maarit Lockhoff; Frank Fell; John Forsythe; Tim Trent; Ralf Bennartz; Eva Borbas; Michael G Bosilovich; Elisa Castelli; Hans Hersbach; Misako Kachi; Shinya Kobayashi; E Robert Kursinski; Diego Loyola; Carl Mears; Rene Preusker; William B Rossow; Suranjana Saha
Journal:  Earth Syst Sci Data       Date:  2018-06-15       Impact factor: 11.333

2.  Assessment of upper tropospheric and stratospheric water vapor and ozone in reanalyses as part of S-RIP.

Authors:  Sean M Davis; Michaela I Hegglin; Masatomo Fujiwara; Rossana Dragani; Yayoi Harada; Chiaki Kobayashi; Craig Long; Gloria L Manney; Eric R Nash; Gerald L Potter; Susann Tegtmeier; Tao Wang; Krzysztof Wargan; Jonathon S Wright
Journal:  Atmos Chem Phys       Date:  2017-10-26       Impact factor: 6.133

3.  Nonlinear response of tropical lower stratospheric temperature and water vapor to ENSO.

Authors:  Chaim I Garfinkel; Amit Gordon; Luke D Oman; Feng Li; Sean Davis; Steven Pawson
Journal:  Atmos Chem Phys       Date:  2018-04-05       Impact factor: 6.133

4.  Ground-based assessment of the bias and long-term stability of fourteen limb and occultation ozone profile data records.

Authors:  D Hubert; J-C Lambert; T Verhoelst; J Granville; A Keppens; J-L Baray; U Cortesi; D A Degenstein; L Froidevaux; S Godin-Beekmann; K W Hoppel; E Kyrölä; T Leblanc; G Lichtenberg; C T McElroy; D Murtagh; H Nakane; R Querel; J M Russell; J Salvador; H G J Smit; K Stebel; W Steinbrecht; K B Strawbridge; R Stübi; D P J Swart; G Taha; A M Thompson; J Urban; J A E van Gijsel; P von der Gathen; K A Walker; E Wolfram; J M Zawodny
Journal:  Atmos Meas Tech       Date:  2016-06-08       Impact factor: 4.176

5.  Improved Global Surface Temperature Simulation using Stratospheric Ozone Forcing with More Accurate Variability.

Authors:  Fei Xie; Jianping Li; Cheng Sun; Ruiqiang Ding; Nan Xing; Yun Yang; Xin Zhou; Xuan Ma
Journal:  Sci Rep       Date:  2018-09-27       Impact factor: 4.379

6.  Climate change favours large seasonal loss of Arctic ozone.

Authors:  Peter von der Gathen; Rigel Kivi; Ingo Wohltmann; Ross J Salawitch; Markus Rex
Journal:  Nat Commun       Date:  2021-06-23       Impact factor: 14.919

  6 in total

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