Sentences with phrase «deviation range of the data»

The gray area around the 1979 — 2000 average line shows the two standard deviation range of the data.

The 1981 - 2010 average is in dark gray, and the gray area around the average line shows the standard deviation range of the data.

Not exact matches

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This range is constructed by computing the standard deviation (σ) of the 40 regression values at each grid box for each variable (SLP, SAT and P) based on detrended data during 1920 — 2012, and subtracting / adding these values (multiplied by two) from / to the ensemble mean regression value.

If we have prior knowledge that the real date is between 300 and 700 and if the red distribution tells the accuracy of determining the C14 data we know already before the collection of the data that we are likely to learn essentially nothing from measuring the C14 date, because the calibration line is close to horizontal over that range, horizontal enough to have all possible values within a range of less than one standard deviation of the empirical accuracy.

As a rule of thumb the deviation of random garbage data should be 1/3 the range of temperature anomalies or 1/3 (0.4 --0.2) ~ 0.2 degrees.

Adding the relevant years» total uncertainty estimates for the HadCRUT4 21 - year smoothed decadal data (estimated 5 — 95 % ranges 0.17 °C and 0.126 °C), and very generously assuming the variance uncertainty scales inversely with the number of years averaged, gives an error standard deviation for the change in decadal temperature of 0.08 °C (all uncertainty errors are assumed to be normally distributed, and independent except where otherwise stated).

These range from simple averaging of regional data and scaling of the resulting series so that its mean and standard deviation match those of the observed record over some period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex climate field reconstruction, where large - scale modes of spatial climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).

We'll also compute the standard deviation of the residuals from our linear regression so we can add two lines to the graph, one of which is two standard deviations above our forecast, the other two standard deviations below, in order to delineate the range in which we would expect most of the future data to be.