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| Titel |
Exploring objective climate classification for the Himalayan arc and adjacent regions using gridded data sources |
| VerfasserIn |
N. Forsythe, S. Blenkinsop, H. J. Fowler |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
2190-4979
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| Digitales Dokument |
URL |
| Erschienen |
In: Earth System Dynamics ; 6, no. 1 ; Nr. 6, no. 1 (2015-05-28), S.311-326 |
| Datensatznummer |
250115426
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| Publikation (Nr.) |
 copernicus.org/esd-6-311-2015.pdf |
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| Zusammenfassung |
| A three-step climate classification was applied to a spatial domain covering
the Himalayan arc and adjacent plains regions using input data from four
global meteorological reanalyses. Input variables were selected based on an
understanding of the climatic drivers of regional water resource variability
and crop yields. Principal component analysis (PCA) of those variables and
k-means clustering on the PCA outputs revealed a reanalysis ensemble
consensus for eight macro-climate zones. Spatial statistics of input
variables for each zone revealed consistent, distinct climatologies. This
climate classification approach has potential for enhancing assessment
of climatic influences on water resources and food security as well as for
characterising the skill and bias of gridded data sets, both meteorological
reanalyses and climate models, for reproducing subregional climatologies.
Through their spatial descriptors (area, geographic centroid, elevation mean
range), climate classifications also provide metrics, beyond simple changes
in individual variables, with which to assess the magnitude of projected
climate change. Such sophisticated metrics are of particular interest for
regions, including mountainous areas, where natural and anthropogenic
systems are expected to be sensitive to incremental climate shifts. |
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