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Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation

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Alvarez, Otto, Guo, Qinghua, Klinger, Robert C, Li, Wenkai, and Doherty, Paul, 2014-06, Comparison of elevation and remote sensing derived products as auxiliary data for climate surface interpolation: International Journal of Climatology, v. 34, iss. 7.

Summary

Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/joc.3835/abstract): Climate models may be limited in their inferential use if they cannot be locally validated or do not account for spatial uncertainty. Much of the focus has gone into determining which interpolation method is best suited for creating gridded climate surfaces, which often a covariate such as elevation (Digital Elevation Model, DEM) is used to improve the interpolation accuracy. One key area where little research has addressed is in determining which covariate best improves the accuracy in the interpolation. In this study, a comprehensive evaluation was carried out in determining which covariates were most suitable for interpolating climatic variables (e.g. [...]

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  • National CASC
  • National and Regional Climate Adaptation Science Centers

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journalInternational Journal of Climatology
parts
typedoi
value10.1002/joc.3835
typestartPage
value2258
typeissn
value1097-0088
typeissue
value7
typeendPage
value2268
typevolume
value34

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