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  Assimilation of MIPAS observations using a three-dimensional global chemistry-transport model

Baier, F., Erbertseder, T., Morgenstern, O., Bittner, M., & Brasseur, G. P. (2005). Assimilation of MIPAS observations using a three-dimensional global chemistry-transport model. Quarterly Journal of the Royal Meteorological Society, 131, 3529-3542. doi:10.1256/qj.05.92.

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 Creators:
Baier, F., Author
Erbertseder, T., Author
Morgenstern, O.1, Author           
Bittner, M., Author
Brasseur, G. P.1, Author                 
Affiliations:
1The Atmosphere in the Earth System, MPI for Meteorology, Max Planck Society, ou_913550              

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Free keywords: Chemical data assimilation, Error analysis, Satellite observations, Stratospheric chemistry
 Abstract: MIPAS observations are assimilated using a modified version of the chemistry-transport model ROSE to derive consistent global chemical analyses of the stratosphere. Due to different retrieval schemes applied, available MIPAS datasets are expected to differ in quality and coverage. In this study we investigate the sensitivity of the data assimilation scheme to two different sample datasets. ENVISAT/MIPAS baseline observations of H2O, O3, HNO3, CH4, N2O and NO2, covering October–November 2003, are considered. Sequential assimilation is performed using an optimum interpolation scheme with error propagation. It is shown that all assimilated model species benefit significantly from observations. Results are analysed using observation minus first-guess error statistics and are additionally compared to UARS/HALOE data. Optimized assimilation parameters are derived using χ2 diagnostics. Two different MIPAS data products are examined: the European Space Agency operational product and the Institute for Meteorology Karlsruhe (IMK) scientific product. Assimilation results show some significant differences with respect to the dataset type used. For example, regions with increased stratospheric H2O concentrations near the tropical tropopause are only present when IMK data are applied. Both datasets are found to be well suited for global assimilation experiments to study the chemistry and dynamics of the middle atmosphere.

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Language(s): eng - English
 Dates: 2005-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 286856
DOI: 10.1256/qj.05.92
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Title: Quarterly Journal of the Royal Meteorological Society
Source Genre: Journal
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Pages: - Volume / Issue: 131 Sequence Number: - Start / End Page: 3529 - 3542 Identifier: -