Articles | Volume 10, issue 6
Clim. Past, 10, 2171–2199, 2014
https://doi.org/10.5194/cp-10-2171-2014
Clim. Past, 10, 2171–2199, 2014
https://doi.org/10.5194/cp-10-2171-2014
Research article
12 Dec 2014
Research article | 12 Dec 2014

Investigating uncertainties in global gridded datasets of climate extremes

R. J. H. Dunn et al.

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Cited articles

Caesar, J., Alexander, L., and Vose, R.: Large-scale changes in observed daily maximum and minimum temperatures: Creation and analysis of a new gridded data set, J. Geophys. Res., 111, D05101, https://doi.org/10.1029/2005JD006280, 2006.
Clark, M. R., Lee, D. S., and Legg, T. P.: A comparison of screen temperature as measured by two Met Office observing systems, Internat. J. Climatol., 34, 2269–2277, 2014.
Cressie, N.: Statistics for Spatial Data: Wiley Series in Probability and Statistics, 1993.
Domonkos, P.: Adapted Caussinus-Mestre Algorithm for Networks of Temperature series (ACMANT), Int. J. Geosci., 2, 293–309, 2011.
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Short summary
Observational data sets contain uncertainties, e.g. from the instrument accuracy, as well as from the fact that usually only a single method is used in processing. We have performed an assessment of the size of the uncertainties associated with choices in the method used. The largest effects come from changes which affect the station network or the gridding method used. However, for the temperature indices in places with many stations, these changes have little effect on the long-term behaviour.