ESTIMATING SAMPLING ERRORS IN LARGE-SCALE TEMPERATURE AVERAGES

Citation
Pd. Jones et al., ESTIMATING SAMPLING ERRORS IN LARGE-SCALE TEMPERATURE AVERAGES, Journal of climate, 10(10), 1997, pp. 2548-2568
Citations number
50
Categorie Soggetti
Metereology & Atmospheric Sciences
Journal title
ISSN journal
08948755
Volume
10
Issue
10
Year of publication
1997
Pages
2548 - 2568
Database
ISI
SICI code
0894-8755(1997)10:10<2548:ESEILT>2.0.ZU;2-7
Abstract
A method is developed for estimating the uncertainty (standard error) of observed regional, hemispheric, and global-mean surface temperature series due to incomplete spatial sampling. Standard errors estimated at the grid-box level [SE2 = S-2(1 - (r) over bar)(1 + (n - 1)(r) over bar)] depend upon three parameters: the number of site records (n) wi thin each box, the average interrecord correlation ((r) over bar) betw een these sites, and the temporal variability (S-2) of each grid-box t emperature time series. For boxes without data (n = 0), estimates are made using values of S-2 interpolated from neighboring grid boxes. Due to spatial correlation, large-scale standard errors in a regional-mea n time series are not simply the average of the grid-box standard erro rs, but depend upon the effective number of independent sites (N-eff) over the region. A number of assumptions must be made in estimating th e various parameters, and these are tested with observational data and complementary results from multicentury control integrations of three coupled general circulation models (GCMs). The globally complete GCMs enable some assumptions to be tested in a situation where there are n o missing data; comparison of parameters computed from the observed an d model datasets are also useful for assessing the performance of GCMs . As most of the parameters are timescale dependent, the resulting err ors are likewise timescale dependent and must be calculated for each t imescale of interest. The length of the observed record enables uncert ainties to be estimated on the interannual and interdecadal timescales , with the longer GCM runs providing inferences about longer timescale s. For mean annual observed data on the interannual timescale, the 95% confidence interval for estimates of the global-mean surface temperat ure since 1951 is +/-0.12 degrees C. Prior to 1900, the confidence int erval widens to +/-0.18 degrees C. Equivalent values on the decadal ti mescale are smaller: +/-0.10 degrees C (1951-95) and +/-0.16 degrees C (1851-1900).