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Marko Scholze

Senior lecturer

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Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales

Author

  • Thomas Kaminski
  • Simon Blessing
  • Ralf Giering
  • Marko Scholze
  • Michael Vossbeck

Summary, in English

The paper presents a feasibility study for a Climate Prediction Data Assimilation System following the methodological approach of the Carbon Cycle Data Assimilation System (CCDAS). The usefulness of accurate gradient information for estimating process parameters of the spectral atmospheric circulation model PUMA on climate time-scales is investigated. Pseudo observations of the long-term mean surface temperature are generated by the model itself. The gradient of the model-data misfit computed by the tangent linear version of the model provides a good approximation for integration periods of 10 days arid one year. In an identical twin experiment the correct parameter values can be retrieved by variational assimilation of the pseudo observations for an integration period of 10 days. For an integration period of 100 days this worked after adding pseudo observations of the seasonality of the surface temperature.

Publishing year

2007-12-01

Language

English

Pages

643-652

Publication/Series

Meteorologische Zeitschrift

Volume

16

Issue

6

Document type

Journal article

Publisher

E Schweizerbartsche Verlags

Topic

  • Meteorology and Atmospheric Sciences
  • Physical Geography

Status

Published

ISBN/ISSN/Other

  • ISSN: 0941-2948