Literature DB >> 32714380

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

Sean M Davis1,2, Michaela I Hegglin3, Masatomo Fujiwara4, Rossana Dragani5, Yayoi Harada6, Chiaki Kobayashi6,7, Craig Long8, Gloria L Manney9,10, Eric R Nash11, Gerald L Potter12, Susann Tegtmeier13, Tao Wang14, Krzysztof Wargan11,15, Jonathon S Wright16.   

Abstract

Reanalysis data sets are widely used to understand atmospheric processes and past variability, and are often used to stand in as "observations" for comparisons with climate model output. Because of the central role of water vapor (WV) and ozone (O3) in climate change, it is important to understand how accurately and consistently these species are represented in existing global reanalyses. In this paper, we present the results of WV and O3 intercomparisons that have been performed as part of the SPARC (Stratosphere-troposphere Processes and their Role in Climate) Reanalysis Intercomparison Project (S-RIP). The comparisons cover a range of timescales and evaluate both inter-reanalysis and observation-reanalysis differences. We also provide a systematic documentation of the treatment of WV and O3 in current reanalyses to aid future research and guide the interpretation of differences amongst reanalysis fields. The assimilation of total column ozone (TCO) observations in newer reanalyses results in realistic representations of TCO in reanalyses except when data coverage is lacking, such as during polar night. The vertical distribution of ozone is also relatively well represented in the stratosphere in reanalyses, particularly given the relatively weak constraints on ozone vertical structure provided by most assimilated observations and the simplistic representations of ozone photochemical processes in most of the reanalysis forecast models. However, significant biases in the vertical distribution of ozone are found in the upper troposphere and lower stratosphere in all reanalyses. In contrast to O3, reanalysis estimates of stratospheric WV are not directly constrained by assimilated data. Observations of atmospheric humidity are typically used only in the troposphere, below a specified vertical level at or near the tropopause. The fidelity of reanalysis stratospheric WV products is therefore mainly dependent on the reanalyses' representation of the physical drivers that influence stratospheric WV, such as temperatures in the tropical tropopause layer, methane oxidation, and the stratospheric overturning circulation. The lack of assimilated observations and known deficiencies in the representation of stratospheric transport in reanalyses result in much poorer agreement amongst observational and reanalysis estimates of stratospheric WV. Hence, stratospheric WV products from the current generation of reanalyses should generally not be used in scientific studies.

Entities:  

Year:  2017        PMID: 32714380      PMCID: PMC7380091          DOI: 10.5194/acp-17-12743-2017

Source DB:  PubMed          Journal:  Atmos Chem Phys        ISSN: 1680-7316            Impact factor:   6.133


  5 in total

1.  Structure and Dynamics of the Quasi-Biennial Oscillation in MERRA-2.

Authors:  Lawrence Coy; Krzysztof Wargan; Andrea M Molod; William R McCarty; Steven Pawson
Journal:  J Clim       Date:  2016-07-07       Impact factor: 5.148

2.  Maintaining Atmospheric Mass and Water Balance in Reanalyses.

Authors:  Lawrence L Takacs; Max J Suárez; Ricardo Todling
Journal:  Q J R Meteorol Soc       Date:  2016-02-08       Impact factor: 3.739

3.  The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2).

Authors:  Ronald Gelaro; Will McCarty; Max J Suárez; Ricardo Todling; Andrea Molod; Lawrence Takacs; Cynthia Randles; Anton Darmenov; Michael G Bosilovich; Rolf Reichle; Krzysztof Wargan; Lawrence Coy; Richard Cullather; Clara Draper; Santha Akella; Virginie Buchard; Austin Conaty; Arlindo da Silva; Wei Gu; Gi-Kong Kim; Randal Koster; Robert Lucchesi; Dagmar Merkova; Jon Eric Nielsen; Gary Partyka; Steven Pawson; William Putman; Michele Rienecker; Siegfried D Schubert; Meta Sienkiewicz; Bin Zhao
Journal:  J Clim       Date:  2017-06-20       Impact factor: 5.148

4.  Evaluation of the Ozone Fields in NASA's MERRA-2 Reanalysis.

Authors:  Krzysztof Wargan; Gordon Labow; Stacey Frith; Steven Pawson; Nathaniel Livesey; Gary Partyka
Journal:  J Clim       Date:  2017-04-04       Impact factor: 5.148

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

Authors:  Sean M Davis; Karen H Rosenlof; Birgit Hassler; Dale F Hurst; William G Read; Holger Vömel; Henry Selkirk; Masatomo Fujiwara; Robert Damadeo
Journal:  Earth Syst Sci Data       Date:  2016-09-28       Impact factor: 11.333

  5 in total
  1 in total

1.  NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition.

Authors:  K E Knowland; C A Keller; P A Wales; K Wargan; L Coy; M S Johnson; J Liu; R A Lucchesi; S D Eastham; E Fleming; Q Liang; T Leblanc; N J Livesey; K A Walker; L E Ott; S Pawson
Journal:  J Adv Model Earth Syst       Date:  2022-06-07       Impact factor: 8.469

  1 in total

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