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

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 circulati...

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Main Authors: Thomas Kaminski, Simon Blessing, Ralf Giering, Marko Scholze, Michael Vossbeck
Format: Article
Language:English
Published: Borntraeger 2007-12-01
Series:Meteorologische Zeitschrift
Online Access:http://dx.doi.org/10.1127/0941-2948/2007/0259
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author Thomas Kaminski
Simon Blessing
Ralf Giering
Marko Scholze
Michael Vossbeck
author_facet Thomas Kaminski
Simon Blessing
Ralf Giering
Marko Scholze
Michael Vossbeck
author_sort Thomas Kaminski
collection DOAJ
description 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 and 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.
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spelling doaj.art-4cb2d2a51fc24ff08cd7852026847c532024-02-02T14:49:08ZengBorntraegerMeteorologische Zeitschrift0941-29482007-12-0116664365210.1127/0941-2948/2007/025956096Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scalesThomas KaminskiSimon BlessingRalf GieringMarko ScholzeMichael VossbeckThe 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 and 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.http://dx.doi.org/10.1127/0941-2948/2007/0259
spellingShingle Thomas Kaminski
Simon Blessing
Ralf Giering
Marko Scholze
Michael Vossbeck
Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
Meteorologische Zeitschrift
title Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
title_full Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
title_fullStr Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
title_full_unstemmed Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
title_short Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales
title_sort testing the use of adjoints for parameter estimation in a simple gcm on climate time scales
url http://dx.doi.org/10.1127/0941-2948/2007/0259
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