Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders
Artikel i vetenskaplig tidskrift, 2021

The Stratosphere-troposphere Processes and their Role in Climate (SPARC) Data Initiative (SPARC, 2017) performed the first comprehensive assessment of currently available stratospheric composition measurements obtained from an international suite of space-based limb sounders. The initiative's main objectives were (1) to assess the state of data availability, (2) to compile time series of vertically resolved, zonal monthly mean trace gas and aerosol fields, and (3) to perform a detailed intercomparison of these time series, summarizing useful information and highlighting differences among datasets. The datasets extend over the region from the upper troposphere to the lower mesosphere (300-0.1 hPa) and are provided on a common latitude-pressure grid. They cover 26 different atmospheric constituents including the stratospheric trace gases of primary interest, ozone (O-3) and water vapor (H2O), major long-lived trace gases (SF6, N2O, HF, CCl3F, CCl2F2, NO y), trace gases with intermediate lifetimes (HCl, CH4, CO, HNO3), and shorter-lived trace gases important to stratospheric chemistry including nitrogen-containing species (NO, NO2, NOx, N2O5, HNO4), halogens (BrO, ClO, ClONO2, HOCl), and other minor species (OH, HO2, CH2O, CH3CN), and aerosol. This overview of the SPARC Data Initiative introduces the updated versions of the SPARC Data Initiative time series for the extended time period 1979-2018 and provides information on the satellite instruments included in the assessment: LIMS, SAGE I/II/III, HALOE, UARS-MLS, POAM II/III, OSIRIS, SMR, MIPAS, GOMOS, SCIAMACHY, ACE-FTS, ACEMAESTRO, Aura-MLS, HIRDLS, SMILES, and OMPS-LP. It describes the Data Initiative's top-down climatological validation approach to compare stratospheric composition measurements based on zonal monthly mean fields, which provides upper bounds to relative inter-instrument biases and an assessment of how well the instruments are able to capture geophysical features of the stratosphere. An update to previously published evaluations of O-3 and H2O monthly mean time series is provided. In addition, example trace gas evaluations of methane (CH4), carbon monoxide (CO), a set of nitrogen species (NO, NO2, and HNO3), the reactive nitrogen family (NOy), and hydroperoxyl (HO2) are presented. The results highlight the quality, strengths and weaknesses, and representativeness of the different datasets. As a summary, the current state of our knowledge of stratospheric composition and variability is provided based on the overall consistency between the datasets. As such, the SPARC Data Initiative datasets and evaluations can serve as an atlas or reference of stratospheric composition and variability during the "golden age" of atmospheric limb sounding. The updated SPARC Data Initiative zonal monthly mean time series for each instrument are publicly available and accessible via the Zenodo data archive (Hegglin et al., 2020).


Michaela I. Hegglin

University of Reading

Susann Tegtmeier

University of Saskatchewan

John Anderson

Hampton University Center for Atmospheric Sciences

Adam E. Bourassa

University of Saskatchewan

Samuel Brohede

FluxSense AB

Doug Degenstein

University of Saskatchewan

Lucien Froidevaux

California Institute of Technology (Caltech)

Bernd Funke

Consejo Superior de Investigaciones Científicas (CSIC)

John Gille

National Center for Atmospheric Research

Yasuko Kasai

Japan National Institute of Information and Communications Technology

Erkki T. Kyrola

Finnish Meteorological Institute

Jerry Lumpe

Computational Physics Inc.

Donal Murtagh

Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys

Jessica L. Neu

California Institute of Technology (Caltech)

Kristell Perot

Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys

Ellis E. Remsberg

NASA Langley Research Center

Alexei Rozanov

Universität Bremen

Matthew Toohey

University of Saskatchewan

Joachim Urban

Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys, Global miljömätteknik och modellering

Thomas von Clarmann

Karlsruher Institut für Technologie (KIT)

Kaley A. Walker

University of Toronto

Hsiang-Jui Wang

Georgia Institute of Technology

Carlo Arosio

Universität Bremen

Robert Damadeo

NASA Langley Research Center

Ryan A. Fuller

California Institute of Technology (Caltech)

Gretchen Lingenfelser

NASA Langley Research Center

Christopher McLinden

Environment and Climate Change Canada

Diane Pendlebury

Environment and Climate Change Canada

Chris Roth

University of Saskatchewan

Niall J. Ryan

University of Toronto

Christopher Sioris

Environment and Climate Change Canada

Lesley Smith

University of Colorado at Boulder

Katja Weigel

Universität Bremen

Earth System Science Data

1866-3508 (ISSN) 1866-3516 (eISSN)

Vol. 13 5 1855-1903


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