Homogeneity adjustments of in situ atmospheric climate data: A review

Peterson, Thomas C., Easterling, David R., Karl, Thomas R., Groisman, Pavel, Nicholls, Neville, Plummer, Neil, Torok, Simon, Auer, Ingeborg, Boehm, Reinhard, Gullett, Donald, Vincent, Lucie, Heino, Raino, Tuomenvirta, Heikki, Mestre, Oliver, Szentimrey, Tamas, Salinger, James, Førland, Eirik J., Hanssen-Bauer, Inger, Alexandersson, Hans, Jones, Philip ORCID: https://orcid.org/0000-0001-5032-5493 and Parker, David (1998) Homogeneity adjustments of in situ atmospheric climate data: A review. International Journal of Climatology, 18 (13). pp. 1493-1517. ISSN 1097-0088

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Abstract

Long‐term in situ observations are widely used in a variety of climate analyses. Unfortunately, most decade‐ to century‐scale time series of atmospheric data have been adversely impacted by inhomogeneities caused by, for example, changes in instrumentation, station moves, changes in the local environment such as urbanization, or the introduction of different observing practices like a new formula for calculating mean daily temperature or different observation times. If these inhomogeneities are not accounted for properly, the results of climate analyses using these data can be erroneous. Over the last decade, many climatologists have put a great deal of effort into developing techniques to identify inhomogeneities and adjust climatic time series to compensate for the biases produced by the inhomogeneities. It is important for users of homogeneity‐adjusted data to understand how the data were adjusted and what impacts these adjustments are likely to make on their analyses. And it is important for developers of homogeneity‐adjusted data sets to compare readily the different techniques most commonly used today. Therefore, this paper reviews the methods and techniques developed for homogeneity adjustments and describes many different approaches and philosophies involved in adjusting in situ climate data. © 1998 Royal Meteorological Society

Item Type: Article
Uncontrolled Keywords: homogeneity,climate data,data adjustment techniques,metadata,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School: Faculty of Science > School of Environmental Sciences
UEA Research Groups: Faculty of Science > Research Groups > Climatic Research Unit
Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Faculty of Science > Research Groups > Marine and Atmospheric Sciences (former - to 2017)
Faculty of Science > Research Groups > Climate, Ocean and Atmospheric Sciences (former - to 2017)
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Depositing User: Rosie Cullington
Date Deposited: 20 Jul 2011 10:26
Last Modified: 16 Jun 2023 23:53
URI: https://ueaeprints.uea.ac.uk/id/eprint/33980
DOI: 10.1002/(SICI)1097-0088(19981115)18:13<1493::AID-JOC329>3.0.CO;2-T

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