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The Historical Pathway Towards More Accurate Homogenisation : Volume 8, Issue 1 (28/03/2012)

By Domonkos, P.

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Book Id: WPLBN0003991076
Format Type: PDF Article :
File Size: Pages 8
Reproduction Date: 2015

Title: The Historical Pathway Towards More Accurate Homogenisation : Volume 8, Issue 1 (28/03/2012)  
Author: Domonkos, P.
Volume: Vol. 8, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: copernicus

Citation

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Mestre, O., Auer, I., Brunetti, M., Domonkos, P., & Venema, V. (2012). The Historical Pathway Towards More Accurate Homogenisation : Volume 8, Issue 1 (28/03/2012). Retrieved from http://www.worldlibrary.net/


Description
Description: Center for Climate Change, Univ. Rovira i Virgili, Campus Terres de l'Ebre, Tortosa, Spain. In recent years increasing effort has been devoted to objectively evaluate the efficiency of homogenisation methods for climate data; an important effort was the blind benchmarking performed in the COST Action HOME (ES0601). The statistical characteristics of the examined series have significant impact on the measured efficiencies, thus it is difficult to obtain an unambiguous picture of the efficiencies, relying only on numerical tests. In this study the historical methodological development with focus on the homogenisation of surface temperature observations is presented in order to view the progress from the side of the development of statistical tools. The main stages of this methodological progress, such as for instance the fitting optimal step-functions when the number of change-points is known (1972), cutting algorithm (1995), Caussinus – Lyazrhi criterion (1997), are recalled and their effects on the quality-improvement of homogenisation is briefly discussed. This analysis of the theoretical properties together with the recently published numerical results jointly indicate that, MASH, PRODIGE, ACMANT and USHCN are the best statistical tools for homogenising climatic time series, since they provide the reconstruction and preservation of true climatic variability in observational time series with the highest reliability. On the other hand, skilled homogenizers may achieve outstanding reliability also with the combination of simple statistical methods such as the Craddock-test and visual expert decisions. A few efficiency results of the COST HOME experiments are presented to demonstrate the performance of the best homogenisation methods.

Summary
The historical pathway towards more accurate homogenisation

Excerpt
Aguilar, E., Auer, I., Brunet, M., Peterson, T. C., and Wieringa, J.: WMO Guidelines on climate metadata and homogenization, WCDMP-No. 53, WMO-TD No 1186, WMO, Geneva, 2003.; Alexandersson, H.: A homogeneity test applied to precipitation data, J. Climatol., 6, 661–675, doi:10.1002/joc.3370060607, 1986.; Alexandersson, H. and Moberg, A.: Homogenization of Swedish temperature data. Part I: Homogeneity test for linear trends, Int. J. Climatol., 17, 25–34, 1997.; Auer, I., Böhm, R., Jurković, A., Orlik, A., Potzmann, R., Schöner, W., Ungersböck, M., Brunetti, M., Nanni, T., Maugeri, M., Briffa, K., Jones, P., Efthymiadis, D., Mestre, O., Moisselin, J.-M., Begert, M., Brazdil, R., Bochnicek, O., Cegnar, T., Gajić-Čapka, M., Zaninović, K., Majstorović, Ž., Szalai, S., Szentimrey, T., and Mercalli, L.: A new instrumental precipitation dataset for the greater Alpine region for the period 1800–2002, Int. J. Climatol., 25, 139–166, doi:10.1002/joc.1135, 2005.; Brunet, M., Asin, J., Sigró, J., Bañon, M., García, F., Aguilar, E., Palenzuela, J. E., Peterson, T. C., and Jones, P.: The minimization of the screen bias from ancient Western Mediterranean air temperature records: an exploratory statistical analysis, Int. J. Climatol., 31, 1879–1895, doi:10.1002/joc.2192, 2011.; Buishand, T. A.: Some methods for testing the homogeneity of rainfall records, J. Hydrol., 58, 11–27, 1982.; Easterling, D. R. and Peterson, T. C.: A new method for detecting undocumented discontinuities in climatological time series, Int. J. Climatol., 15, 369–377, 1995.; Caussinus, H. and Lyazrhi, F.: Choosing a linear model with a random number of change-points and outliers, Ann. Inst. Statist. Math., 49, 761–775, doi:10.1023/A:1003230713770, 1997.; Caussinus, H. and Mestre, O.: New mathematical tools and methodologies for relative homogeneity testing, in: Proceedings of the First Seminar for Homogenization of Surface Climatological Data, edited by: Szalai, S., Hungarian Meteorlogical Service, Budapest, Hungary, 63–82, 1996.; Caussinus, H. and Mestre, O.: Detection and correction of artificial shifts in climate series, J. Roy. Stat. Soc., Series C53, 405–425, doi:10.1111/j.1467-9876.2004.05155.x, 2004.; Conrad, V.: Homogenitätsbestimmung meteorologischer Beobachtungsreihen, Meteorol. Z., 482–485, 1925.; Conrad, V. and Pollak, C.: Methods in Climatology, Harvard University Press, Cambridge, MA, p. 459, 1950.; Craddock, J. M.: Methods of comparing annual rainfall records for climatic purposes, Weather, 34, 332–346, 1979.; Domonkos, P.: Testing of homogenisation methods, in: 5th European Conference of Applied Climatology, 26–30 September, Nice, France, EMS04-A-00098, 2004.; Domonkos, P.: Testing of homogenisation methods: purposes, tools and problems of implementation, Proceedings of the 5th Seminar and Quality Control in Climatological Databases, WCDMP-No. 71, WMO-TD 1493, WMO, Geneva, 126–145, 2008.; Domonkos, P.: Efficiency evaluation for detecting inhomogeneities by objective homogenisation methods, Theor. Appl. Climatol., 105, 455–467, doi:10.1007/s00704-011-0399-7, 2011a.; Domonkos, P.: Adapted Caussinus-Mestre Algorithm for Networks of Temperature series (ACMANT), Int. J. Geosci., 2, 293–309, doi:10.4236/ijg.2011.23032, 2011b.; Domonkos, P.: ACMANT: Why is it efficient? Proceedings of the 7th Seminar and Quality Control in Climatological Databases, WMO-HMS, www.c3.urv.cat/publicacions/publicacions2012.html, in press, 2012.; Domonkos

 

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