Two periods with
no statistical significant warming trends are 1977 to 1985 and 1981 to 1989.
Not exact matches
A «pause» in the global temperature
trend can be diagnosed, when both of the following criteria are fulfilled: a) based on a robust
statistical analysis, the global temperature
trend is not statistically distinguishable from the Zero
trend, b) based on a robust
statistical analysis, the global temperature
trend is statistically distinguishable from the longer - term, multi-decadal
warming trend (which itself is highly statistically
significant).
First, Happer mentions
statistical significance, but global surface temperature
trends are rarely if ever statistically
significant (at a 95 % confidence level) over periods as short as a decade, even in the presence of an underlying long - term
warming trend, because of the natural variability and noise in the climate system.
To counteract the undeniable fact that no
significant warming has occurred since about 1997, Karlsson produces the breathtakingly self - interested assertion that ``...
statistical significance relates to how probable the observe [d] data, or more extreme data, are on the null hypothesis, not the practical significance of the observed
trend.
David Rose mislead his readership with his simplistic math argument and by confusing an absence of a
warming trend as a
significant statistical signal for a plateau.
For this article, a statistically -
significant global
warming means that the linear
trend (slope of the
trend line) is likely greater than zero with 95 %
statistical confidence (i.e. the 95 % error bars do not include a possible 0.0 or negative temperature degree slope).
There will never have been statistically
significant global
warming is the last few years, because
statistical significance is heavily dependent on the amount of data points and hence the length of the record you are
trending.
... short time scales... preclude determination of a statistically
significant trend at the 95 % confidence level, although lack of
statistical signficance does not negate the existence of [
warming] as defined here.
Summary of how they got to this finding: They use CMIP models which, if not outright flawed, have not proved their validity in estimated temperature levels in the 2030 to 2070 timeframe, are used as the basis for extrapolations that assert the creation of more and more 3 - sigma «extreme events» of hot weather; this is despite the
statistical contradiction and weak support for predicting
significant increases in outlier events based on mean increases; then, based on
statistical correlations between mortality and extreme heat events (ie heat waves), temperature
warming trends are conjured into an enlargement of the risks from heat events; risks increase significantly only by ignoring obvious adjustments and mitigations any reasonable community or person would make to adapt to
warmer weather.
Phil Jones did not say that there «had been no
significant warming» he was misquoted from a discussion of the
statistical significance of the
trend.
The lack of
statistical significance in temperate
trends since 1998 is at least partly a
statistical power issue - there is not enough data (since 98) to achieve a statistically
significant result, even if there has been
warming.