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INTERNATIONAL JOURNAL OF CLIMATOLOGY Int. J. Climatol. 21: 13051319 (2001)
 

Summary: INTERNATIONAL JOURNAL OF CLIMATOLOGY
Int. J. Climatol. 21: 13051319 (2001)
DOI: 10.1002/joc.679
ESTIMATING MISSING DAILY TEMPERATURE EXTREMES USING
AN OPTIMIZED REGRESSION APPROACH
ROBERT J. ALLEN and ARTHUR T. DeGAETANO*
Northeast Regional Climate Center, Cornell Uni6ersity, Ithaca, NY, USA
Recei6ed 11 March 2000
Re6ised 2 April 2001
Accepted 7 April 2001
ABSTRACT
A variation of a least squares regression approach to estimate missing daily maximum and minimum temperatures is
developed and evaluated, specifically for temperature extremes. The method focuses on obtaining accurate estimates
of annual exceedence counts (e.g. the number of days greater than or equal to the 90th percentile of daily maximum
temperatures), as well as counts of consecutive exceedences, while limiting the estimation error associated with each
individual value.
The performance of this method is compared with that of two existing methods developed for the entire
temperature distribution. In these existing methods, temperature estimates are based on data from neighbouring
stations using either regression or temperature departure-based approaches.
Evaluation of our approach using cold minimum and warm maximum temperatures shows that the median

  

Source: Allen, Robert J. - Department of Earth Sciences, University of California at Riverside

 

Collections: Geosciences; Environmental Sciences and Ecology