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Intercomparison of homogenization techniques for precipitation data

Intercomparison of homogenization techniques for precipitation data
Intercomparison of homogenization techniques for precipitation data
This paper presents an intercomparison of eight statistical tests to detect inhomogeneities in climatic data. The objective was to select those that are more suitable for precipitation data in the southern and central regions of the province of Quebec, Canada. The performances of these methods were evaluated by simulation on several thousands of homogeneous and inhomogeneous synthetic series. These series were generated to reproduce the statistical characteristics of typical precipitations observed in the southern and central parts of the province of Quebec and nearby areas, Canada. It was found that none of these methods was efficient for all types of inhomogeneities, but some of them performed substantially better than others: the bivariate test, the Jaruskova's method, and the standard normal homogeneity test. Techniques such as the Student sequential test and the two-phase regression led to the worst performances. The analysis of the performances of each method in several situations allowed the design of an optimal procedure that takes advantage of the strengths of the best performing techniques.
homogenization, precipitation series, simulation, discontinuities
0043-1397
W02425
Beaulieu, Claudie
13ae2c11-ebfe-48d9-bda9-122cd013c021
Seidou, Ousmane
68a09e6d-e707-4156-a3ef-2c1ed3819898
Ouarda, Taha B.M.J.
33662875-c39e-42e9-8b21-9b1452d5d596
Zhang, Xuebin
4bb0c0b5-f0b7-4ccf-b41a-d96cb56714a9
Boulet, Gilles
d290cffd-1b9b-497a-8fd8-2ec70f2c5826
Yagouti, Abderrahmane
cafb57f6-4aaa-4f85-bb8c-4a6bd6923e6e
Beaulieu, Claudie
13ae2c11-ebfe-48d9-bda9-122cd013c021
Seidou, Ousmane
68a09e6d-e707-4156-a3ef-2c1ed3819898
Ouarda, Taha B.M.J.
33662875-c39e-42e9-8b21-9b1452d5d596
Zhang, Xuebin
4bb0c0b5-f0b7-4ccf-b41a-d96cb56714a9
Boulet, Gilles
d290cffd-1b9b-497a-8fd8-2ec70f2c5826
Yagouti, Abderrahmane
cafb57f6-4aaa-4f85-bb8c-4a6bd6923e6e

Beaulieu, Claudie, Seidou, Ousmane, Ouarda, Taha B.M.J., Zhang, Xuebin, Boulet, Gilles and Yagouti, Abderrahmane (2008) Intercomparison of homogenization techniques for precipitation data. Water Resources Research, 44 (2), W02425. (doi:10.1029/2006WR005615).

Record type: Article

Abstract

This paper presents an intercomparison of eight statistical tests to detect inhomogeneities in climatic data. The objective was to select those that are more suitable for precipitation data in the southern and central regions of the province of Quebec, Canada. The performances of these methods were evaluated by simulation on several thousands of homogeneous and inhomogeneous synthetic series. These series were generated to reproduce the statistical characteristics of typical precipitations observed in the southern and central parts of the province of Quebec and nearby areas, Canada. It was found that none of these methods was efficient for all types of inhomogeneities, but some of them performed substantially better than others: the bivariate test, the Jaruskova's method, and the standard normal homogeneity test. Techniques such as the Student sequential test and the two-phase regression led to the worst performances. The analysis of the performances of each method in several situations allowed the design of an optimal procedure that takes advantage of the strengths of the best performing techniques.

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More information

e-pub ahead of print date: 19 February 2008
Published date: February 2008
Keywords: homogenization, precipitation series, simulation, discontinuities
Organisations: Ocean and Earth Science

Identifiers

Local EPrints ID: 352264
URI: https://eprints.soton.ac.uk/id/eprint/352264
ISSN: 0043-1397
PURE UUID: 64ae4676-35a4-4956-95b7-36ae76c0db21

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Date deposited: 08 May 2013 10:43
Last modified: 18 Jul 2017 04:15

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Contributors

Author: Ousmane Seidou
Author: Taha B.M.J. Ouarda
Author: Xuebin Zhang
Author: Gilles Boulet
Author: Abderrahmane Yagouti

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