Marko Scholze
Universitetslektor
Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
Författare
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.
Publiceringsår
2007-12-01
Språk
Engelska
Sidor
643-652
Publikation/Tidskrift/Serie
Meteorologische Zeitschrift
Volym
16
Issue
6
Dokumenttyp
Artikel i tidskrift
Förlag
E Schweizerbartsche Verlags
Ämne
- Meteorology and Atmospheric Sciences
- Physical Geography
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0941-2948