On the critical values of the standard normal homogeneity test (SNHT)

Authors

  • M. N. Khaliq,

    Corresponding author
    1. Ouranos Consortium on Regional Climatology and Adaptation to Climate Change, 550 Sherbrooke Street West, West Tower, 19th Floor, Montreal, Quebec H3A 1B9, Canada
    • Ouranos Consortium on Regional Climatology and Adaptation to Climate Change, 550 Sherbrooke Street West, West Tower, 19th Floor, Montreal, Quebec H3A 1B9, Canada.
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  • T. B. M. J. Ouarda

    1. NSERC/Hydro-Quebec Statistical Hydrology Chair, Canada Research Chair on the Estimation of Hydrological Variables, INRS-ETE, University of Quebec, 490 de la Couronne, Quebec City, Quebec G1K 9A9, Canada
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Abstract

The use of the standard normal homogeneity test (SNHT) for homogenization of climatological records and studying changes in their patterns has increased in recent years. The critical values of this test were originally developed for sample sizes ranging from 10 to 250 using relatively short Monte Carlo simulations (MCS). The objective of this paper is to improve the critical values of the SNHT and extend them to large sample sizes. The critical values, along with their standard errors, are developed for 108 sample sizes ranging from 10 to 50 000 using 30 replicates of one million samples for each sample size. These critical values mimic the tails of the SNHT statistic better and therefore are more accurate, and would be useful for making correct statistical inference for climate data homogenization and assessment of climate variability in future studies. Copyright © 2006 Royal Meteorological Society

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