The selection of predictors in a regression-based method for gap filling in daily temperature datasets-Reference-Cited by-同舟云学术

The selection of predictors in a regression-based method for gap filling in daily temperature datasets

Published:2013-06-20 Issue:4 Volume:34 Page:1311-1317
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int. J. Climatol.

Author:

Tardivo Gianmarco¹,Berti Antonio

Affiliation:

1. Dipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente; Università degli Studi di Padova.; Legnaro Italy

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/joc.3766/fullpdf

Reference15 articles.

1. Reconstructing temperature variations at high elevation lake sites in Europe during the instrumental period;Agusti-Panareda;Verhandlungen des Internationalen Verein Limnologie,2000

2. Determining the optimum number of predictors for a linear prediction eqaution;Carr;Monthly Weather Review,1988

3. A method to estimate daily maximum and minimum temperature observations;DeGaetano;Journal of Applied Meteorology,1995

4. The quality control of long-term climatological data using objective data analysis;Eischeid;Journal of Applied Meteorology,1995

5. Using spatial interpolation to construct a comprehensive archive of Australian climate data;Jeffrey;Environmental Modelling and Software,2001

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