Climate spatial variability and data resolution in a semi-arid watershed, south-eastern Arizona

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

In the 10,000 km2 San Pedro River watershed area in south-eastern Arizona, high-resolution spatial patterns of long-term precipitation and temperature were better reproduced by kriging climate data with elevation as external drift (KED) than by multiple linear regression on station location and elevation as judged by the spatial distribution of interpolation error. Mean errors were similar overall, and interpolation accuracy for both methods increased with increasing correlation between climate variables and elevation. Uncertainty in station locations had negligible effect on mean estimation error, although error for individual stations varied as much as 27%. Our future ability to examine spatial aspects of climate change at high spatial resolution will be severely limited by continuing closures of climate stations in this part of the United States.

Original languageEnglish (US)
Pages (from-to)667-686
Number of pages20
JournalJournal of Arid Environments
Volume54
Issue number4
DOIs
StatePublished - Aug 1 2003

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watershed
climate
interpolation
spatial resolution
kriging
uncertainty
spatial distribution
climate change
rivers
station
temperature
river
methodology
effect
method

Keywords

  • Climate
  • Geostatistics
  • Interpolation
  • Precipitation
  • San Pedro River
  • South-western U.S.
  • Spatial variability
  • Temperature

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Ecology

Cite this

Climate spatial variability and data resolution in a semi-arid watershed, south-eastern Arizona. / Skirvin, Susan M.; Marsh, Stuart; McClaran, Mitchel; Meko, David.

In: Journal of Arid Environments, Vol. 54, No. 4, 01.08.2003, p. 667-686.

Research output: Contribution to journalArticle

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