In public media the notion that climate change is more than global warming gets repeated frequently.

Are there strong predictions that show that the climate becomes more irregular? Would we expect the weather in any particular place to suffer greater extremes (of temperature, precipitation, wind, etc.)? Are extreme weather events likely to increase (e.g. hurricane frequency or intensity, major wildfires...)?

The claim is repeated often in the media. Here is the Guardian's recent take (decrying the fact that some US sources fail to make a link that is widely accepted elsewhere; highlights are mine):

The phrase "extreme weather" flashes across television screens from coast to coast, but its connection to climate change is consistently ignored, if not outright mocked. If our news media, including – or especially – the meteorologists, continue to ignore the essential link between extreme weather and climate change, then we as a nation, the greatest per capita polluters on the planet, may not act in time to avert even greater catastrophe.

An older archived link from the BBC also makes the point:

Increasing temperatures means the World is likely to see less frosty days and cold spells, but we are expected to experience an increase in heat waves and hot spells

Greater risk of drought in continental areas

Increase in extreme precipitation events

Hurricanes likely to be more intense in some parts of the World due to more rainfall and more intense winds

An intensification of the Asian summer monsoon is expected

Are these reliable predictions or global climate models or are they just the material that makes news a little more interesting thereby leading to coverage being dominated by the less solid parts of climate science?

On of the key things that separates a scientific prediction from the kind of predictions that you read in newspapers is that science isn't vague. A scientist should be able to give you a probability for whether the event he predicts happens.

NB the question is about whether weather variability changes, not just the average weather. That is, is the normal range of variation higher across a year as a result of climate change.

  • Less regular than what? Past years (annual precipitation, number of hurricanes, etc.)? Seasonal variation (longer summers, shorter winters, etc.)?
    – Beofett
    Jul 8, 2011 at 16:05
  • I specified entropy and variance as metrics for regularity.
    – Christian
    Jul 8, 2011 at 16:39
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    This question would be better if you referenced specific claims, I think. Jul 8, 2011 at 17:00
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    IMO you're misunderstanding the claim. The claim is trivial: that climate change means that weather will become less 'normal', less 'like it used to be' (maybe that's what you mean by "less regular"). Depending on where you are, that might be warmer, on average: or it might mean cooler, or drier, or more rainy, or windier, etc.
    – ChrisW
    Jul 9, 2011 at 0:59
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    @Christian hope you don't mind the big edit: I wanted to see if this would get it reopened.
    – matt_black
    Jul 9, 2012 at 14:31

2 Answers 2


Yes, climate change does mean that weather becomes more variable in addition to being warmer (Financial Times link, registration required).

Global warming “significantly” increased the odds of some of last year’s most unusual weather, including the brutal Texas drought and the freakishly warm November in Britain, according to findings released Tuesday alongside the latest “state of the climate” report in the Bulletin of the American Meteorological Society.

The paper is available online at DOI:10.1175/BAMS-D-12-00021.1 - Explaining Extreme Events of 2011 from a Climate Perspective

Dr Peter Stott and others have been using attribution science to look at these causes. See, for example, Human activity and anomalously warm seasons in Europe:

The attribution analysis described here employs temperature data from observations and experiments with two climate models and uses optimal fingerprinting to partition the climate response between its anthropogenic and natural components. These responses are subsequently combined with estimates of unforced climate variability to construct distributions of the annual values of seasonal mean temperatures with and without the effect of human activity. We find that in all seasons, anthropogenic forcings have shifted the temperature distributions towards higher values.

(my bold in each quote)

See also Tamino on Climate extremes and anthropogenic climate change and Pete Sinclair on "Welcome to the rest of our lives".

Finally, in the IPCC's 2012 special report on climate extremes (SREX), we find:

There is evidence that some extremes have changed as a result of anthropogenic influences, including increases in atmospheric concentrations of greenhouse gases. It is likely that anthropogenic influences have led to warming of extreme daily minimum and maximum temperatures at the global scale. There is medium confidence that anthropogenic influences have contributed to intensification of extreme precipitation at the global scale. It is likely that there has been an anthropogenic influence on increasing extreme coastal high water due to an increase in mean sea level

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    What does "raise the odds" mean in term of numbers? Is it big enough that "extreme weather events are likely to increase". Whenever someone does real science there should be somewhere numbers that are more specific.
    – Christian
    Jul 11, 2012 at 14:21
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    The Texas drought is part of a cyclic weather pattern at least 800 years old. It strikes the southwest approximately every 35-40 years. The last time it was in the 1970s in my childhood and the time before caused the dust bowl. When the pattern occurs, tornado alley moves northward and hurricanes are deflected to the east coast. I would point out that it was Stott and the Met Office that incorrectly predicted a warm winter last resulting in a serious misallocation of resources in the face of an unusual cold snap.
    – TechZen
    Jul 11, 2012 at 22:34

Entropy and Variance are different kind of quantities. Variance is a quantity to describe mathematically the fluctuation of a distribution of measurement values for e.g. Temperature. Temperature is thermodynamical linked to Entropy of a System (defined by the probabilistic model of a distinct system). Entropy is physcial prinicple and used in climate modeling to rule out distinct unphysical/unlikely scenarios. Here is (Paywall) article using a maximum entropy method to calculate local climate annual cycle. AFAIK this method plays no important role in several current IPCC climate models. But some do write papers & blogs about it, judge yourself if its a discussion or monolog ;)

But IMO your question basically is, will the variance of global average temperature development be higher than in the past.


This past-future prediction of global average temperature shows imo the answer. If you compare the fluctuations of the average temperature of the red lines in past and future, you cant make up a big difference despite it gets hotter. These models are based on calculations and assumptions how climate parameters will develop in future (economic growth, environmental changes,...). Also climate can become less predictable (doesnt have to mean less irregular!), which would mean, the variance between different climate model scenarious inreases, as models are based on physics of deterministic chaos (e.g. additional physical processes, new environment influencing technologies). The more unknown parameter, the less predictable these model calculations get of course. But for a single line (model) in the picture there is no much bigger fluctuation of the average global temperature (e.g. no sinus like cycles) despite the rising trend. Interesting would be how variance of global avg. temp. relates to 0-1900 but this is outside data and simulation capabilities to make senseful comparisons

Beside this you have to distinguish between climate and local weather. Weather will actually become more irregular in sense of more or stronger extreme weather. Here is a scientific consensus by a majority

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    There are other things than temperature that make up climate. Will hurricanes and tornadoes become greater dangers? Will rainfall become less predictable? Pile enough weather together and it becomes climate. Jul 9, 2011 at 18:04
  • @david of course. But whats the point of your commment? He asked on global temperature variance. I will not argue here what climate model is most reasonable.....and still in Physics the Energy of a system (often linked to temperature) stays a defining parameter. Or you disagree here?! Jul 9, 2011 at 18:25
  • its funny that this answer only quoting facts of wikipedia and physics gets downvoted without hint whats actually "wrong" Did truth hurt some climate change skeptics and oil fanatics? ;) Good opportunity to see if the rating system actually works for the type of users here... Jul 9, 2011 at 22:26
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    Without knowing about the error bars of the models in your graph you don't know whether those models make reliable predictions about the variance.
    – Christian
    Jul 9, 2011 at 22:50
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    Totally off the topic of these comments (Aside: I agree the question wasn't answered), but while I understand that the historical data would be highly fluctuating as displayed in the graph, I have to ask why the projected data fluctuates in the same way? How do you long term project short term fluctuations? Are the fluctuations mocked up to make the graph look consistent? Are they random, but based on the fluctuation rates in the historical data? Have they actually mapped the data to complex sinusoidal wave functions? Feb 14, 2012 at 19:57

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