Abstract
In this article, we propose a new model that allows the correction of non-homogeneous series without requiring the computation of the so called «regional reference series». The non-bias and minimum variance properties of the derived estimates are shown.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alexandersson, H.,1986: A homogeneity test applied to precipitation data. Int. J. of climatology 6, 661–675.
Alexandersson, H., et al., 1996: Analysis of homogeneity breaks in the NACD temperature and precipitation series. in Proc. Europ. Conf. Appl. Meteor. may 1996, Norrköping, 55–56.
Eeasterling, D. R. and Peterson, D. C., 1995: A new method for detecting undocumented discontinuities in climatological time series. Int. J. of Climatol. 15, 369–377.
Forland, E. J. and Hanssen Bauer, I., 1994: Homogeneizing long norvegian precipitation series. J. of Climate 7, 1001–1013.
Mestre, O., 2000: Méthodes statistiques pour l’homogénéisation des longues séries climatiques Ph. D. Thesis, Université Paul Sabatier de Toulouse, 230 pp.
Peterson, D. C. and Easterling, D. R., 1994: Creation of homogeneous composite climatological reference series. Int. J. of Climatol. 14, 671–679.
Szentimrey, T., 1996: Statistical procedure for joint homogenization of climatic time series. In Proc. Seminar on Homogenization of surf. Instrum. Data, oct. 1996, Budapest, 47–62.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Mestre, O., Caussinus, H. (2001). A Correction Model for Homogenisation of Long Instrumental Data Series. In: India, M.B., Bonillo, D.L. (eds) Detecting and Modelling Regional Climate Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04313-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-662-04313-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07594-0
Online ISBN: 978-3-662-04313-4
eBook Packages: Springer Book Archive