## Abstract Homogenization methods are developed to reduce the impact of nonβclimatic factors on climate series. MartΓnex __et al.__ (2009), (__International Journal of Climatology__, Doi 10.1002/joc.1884) applied a set of homogenization procedures to available Spanish temperature series. In this r
On the critical values of the standard normal homogeneity test (SNHT)
β Scribed by M. N. Khaliq; T. B. M. J. Ouarda
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 163 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0899-8418
- DOI
- 10.1002/joc.1438
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β¦ Synopsis
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 Β© 2006 Royal Meteorological Society
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## Abstract A Bayesian Normal Homogeneity Test (BNHT) for the detection of artificial discontinuities in climatic series is presented. The test is simple to use and allows the integration of prior knowledge on the date of change from various sources of information (e.g. metadata or expert belief) i
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