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| Titel |
A combination of cluster analysis and Kappa statistic for the evaluation of climate model results |
| VerfasserIn |
M. Kücken, F.-W. Gerstengarbe, B. Orlowsky |
| 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 |
250023300
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| Zusammenfassung |
| Different statistical methods are combined for the comparison of the spatial structures of two
data-sets. This is useful for the validation of climate simulation data with respect to
observational data of the same spatial and temporal coverage. We assume that simulated data
and observed data are both given as time-series at locations such as grid cells or station
locations. The spatial structure of such a data-set is understood as the spatial distribution of
clusters (obtained from a cluster analysis of the time-series), which contain climatologically
similar locations. If the spatial distribution of clusters was identical for the observed and the
simulated data, the simulation would describe the spatial structure of the observations
perfectly. Differences between these distributions are quantified using the κ-statistic.
κ-variants can discriminate between differences which are due to differing cluster frequencies
or and those due to differing spatial distributions. We demonstrate the method using
simulation data from the statistical regional climate model STAR for Germany. |
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