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| Titel |
Köppen versus the computer: comparing Köppen-Geiger and multivariate regression tree climate classifications in terms of climate homogeneity |
| VerfasserIn |
A. J. Cannon |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 1 ; Nr. 16, no. 1 (2012-01-24), S.217-229 |
| Datensatznummer |
250013124
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| Publikation (Nr.) |
 copernicus.org/hess-16-217-2012.pdf |
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| Zusammenfassung |
| A global climate classification is defined using a multivariate
regression tree (MRT). The MRT algorithm is automated,
hierarchical, and rule-based, thus allowing a system of climate classes
to be quickly defined and easily interpreted.
Climate variables used in the MRT are restricted to those from the
Köppen-Geiger classification system. The result is a set of classes
that can be directly compared against those from the traditional system.
The two climate classifications are compared at their 5, 13,
and 30 class hierarchical levels in terms of climate homogeneity.
Results indicate that both perform well in terms of identifying
regions of homogeneous temperature variability,
although the MRT still generally outperforms the Köppen-Geiger system.
In terms of precipitation discrimination, the Köppen-Geiger classification
performs poorly relative to the MRT. The data and algorithm implementation
used in this study are freely available. Thus, the MRT climate classification
offers instructors and students in the geosciences a simple instrument
for exploring modern, computer-based climatological methods. |
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