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Titolo:
Spatial grouping of United States climate stations using a hybrid clustering approach
Autore:
DeGaetano, AT;
Indirizzi:
Cornell Univ, NE Reg Climate Ctr, Ithaca, NY 14853 USA Cornell Univ Ithaca NY USA 14853 NE Reg Climate Ctr, Ithaca, NY 14853 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF CLIMATOLOGY
fascicolo: 7, volume: 21, anno: 2001,
pagine: 791 - 807
SICI:
0899-8418(20010615)21:7<791:SGOUSC>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
REGIONALIZATION; TEMPERATURE; TRENDS; ZONES;
Keywords:
cluster analysis; rank correlation; seasonal temperature; seasonal precipitation; station density;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: DeGaetano, AT Cornell Univ, NE Reg Climate Ctr, 1115 Bradfield Hall, Ithaca, NY 14853 USA Cornell Univ 1115 Bradfield Hall Ithaca NY USA 14853 853 USA
Citazione:
A.T. DeGaetano, "Spatial grouping of United States climate stations using a hybrid clustering approach", INT J CLIM, 21(7), 2001, pp. 791-807

Abstract

The development of a hybrid clustering technique based on the geographic proximity of observing stations and some application-driven measure of statistical similarity (in this case rank correlation) is described. The procedure is then applied to temperature and precipitation data From the United States (US) Historical Climatology Network. The resulting station groups provide some insight into the number of observation stations that are necessaryto monitor adequately the climate of the US. Based on temperature data alone, a 287-station subset of the original 1145sites would be adequate to account for 80X of the spatial variability in seasonal temperature across the US. Geographically the distribution of thesestations would be relatively sparse in the centre of the country with higher station density along the East Coast and from the Rocky Mountains to theWest Coast. Generally, the temperature clusters match the existing US climate divisions to some extent. To monitor adequately the spatial variabilityof precipitation, a network of similar size could be used. However, such anetwork would only account for 65% of the spatial variability in precipitation. In this case, fairly uniform station density is indicated across the country with the highest station density in Florida and the Dakotas. A similar number of stations, but with slightly different geographic groupings would be adequate to monitor precipitation and temperature simultaneously. Copyright (C) 2001 Royal Meteorological Society.

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Documento generato il 18/01/20 alle ore 21:40:41