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Documentation of Uncertainties and Biases Associated with Surface Temperature Measurement Sites for Climate Change Assessment
Authors
Jim Angel
Odie Bliss
+13 more
Ming Cai
Christopher Davey
Nolan Doesken
Souleymane Fall
Kevin Gallo
Robert Hale
Kenneth Hubbard
Hong Li
Xiaomao Lin
John Nielsen-Gammon
Dev Niyogi
Roger Sr Pielke
Sethu Raman
Publication date
28 October 2016
Publisher
'American Meteorological Society'
Doi
Cite
Abstract
© Copyright 2007 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (https://www.ametsoc.org/) or from the AMS at 617-227-2425 or
[email protected]
objective of this research is to determine whether poorly sited long-term surface temperature monitoring sites have been adjusted in order to provide spatially representative independent data for use in regional and global surface temperature analyses. We present detailed analyses that demonstrate the lack of independence of the poorly sited data when they are adjusted using the homogenization procedures employed in past studies, as well as discuss the uncertainties associated with undocumented station moves. We use simulation and mathematics to determine the effect of trend on station adjustments and the associated effect of trend in the reference series on the trend of the adjusted station. We also compare data before and after adjustment to the reanalysis data, and we discuss the effect of land use changes on the uncertainty of measurement. A major conclusion of our analysis is that there are large uncertainties associated with the surface temperature trends from the poorly sited stations. Moreover, rather than providing additional independent information, the use of the data from poorly sited stations provides a false sense of confidence in the robustness of the surface temperature trend assessments.Department of Energy National Science Foundation National Aeronautics and Space Administration United States Geological Survey Mary K. Rice Foundatio
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Texas A&M University
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