Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.509 IF 5.509
  • IF 5-year value: 5.689 IF 5-year 5.689
  • CiteScore value: 5.44 CiteScore 5.44
  • SNIP value: 1.519 SNIP 1.519
  • SJR value: 3.032 SJR 3.032
  • IPP value: 5.37 IPP 5.37
  • h5-index value: 86 h5-index 86
  • Scimago H index value: 161 Scimago H index 161
Volume 7, issue 22 | Copyright
Atmos. Chem. Phys., 7, 5745-5773, 2007
https://doi.org/10.5194/acp-7-5745-2007
© Author(s) 2007. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  21 Nov 2007

21 Nov 2007

Data assimilation of stratospheric constituents: a review

W. A. Lahoz1,*, Q. Errera2, R. Swinbank3, and D. Fonteyn2,** W. A. Lahoz et al.
  • 1Data Assimilation Research Centre, University of Reading, UK
  • 2BIRA-IASB, Brussels, Belgium
  • 3Met Office, Exeter, UK
  • *now at: Norsk Institutt for Luftforskning, NILU, Norway
  • **now at: Belgian Federal Science Office, Belgium

Abstract. The data assimilation of stratospheric constituents is reviewed. Several data assimilation methods are introduced, with particular consideration to their application to stratospheric constituent measurements. Differences from meteorological data assimilation are outlined. Historically, two approaches have been used to carry out constituent assimilation. One approach has carried constituent assimilation out as part of a Numerical Weather Prediction system; the other has carried it out in a standalone chemical model, often with a more sophisticated representation of chemical processes. Whereas the aim of the Numerical Weather Prediction approach has been to improve weather forecasts, the aims of the chemical model approach have included providing chemical forecasts and analyses of chemical constituents. A range of constituent assimilation systems developed in these two areas is presented and strengths and weaknesses discussed. The use of stratospheric constituent data assimilation to evaluate models, observations and analyses, and to provide analyses of constituents, monitor ozone, and make ozone forecasts is discussed. Finally, the current state of affairs is assessed, future directions are discussed, and potential key drivers identified.

Publications Copernicus
Download
Citation
Share