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| Titel |
{Climate Data Assimilation using inverse modelling: Application to the Carbon Cycle} |
| VerfasserIn |
E. N. Koffi, P. Rayner, M. Scholze, T. Kaminski, C. Roedenbeck, M. Voßbeck, R. Giering, W. Knorr, M. Heimann |
| Konferenz |
EGU General Assembly 2009
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 11 (2009) |
| Datensatznummer |
250024254
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| Zusammenfassung |
| Concern about the uncertainty on the current and future behaviour of the terrestrial carbon
cycle has stimulated the research community to build complex observing systems for the
terrestrial carbon cycle. These observations are of many forms and are made either at a point
or with detailed spatial coverage. Improving our understanding requires incorporating
these measurements into underlying modelling frameworks. This has led to the
adoption of assimilation techniques widely used in numerical weather prediction to this
inherently climatic problem. The difficulties are substantially different however since the
underlying models of the terrestrial biosphere are much less developed than their
meteorological counterparts. Thus there are uncertainties both on the underlying model and
the observation operators in this climate assimilation problem. Here we present a
comparison of two assimilation systems which differ only in the choice of observation
operator. The relevant observations are of atmospheric concentration so the observation
operator is an atmospheric transport model that links carbon fluxes to atmospheric
concentrations.
The assimilation system CCDAS (Carbon Cycle Data Assimilation System) is built
around the terrestrial biosphere model BETHY (Biosphere Energy Transfer Hydrology) and
we attach this to efficient representations of the TM2 and TM3 transport models. After
presenting the basic formalism we show the impact of the choice of observation operator on
the implied function of the terrestrial biosphere, particularly tracing the impact of different
seasonality of transport. |
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