Changes in low temperature extremes

menu

Changes in low temperature extremes

These extreme temperature indices help to characterise events marked by unusually low temperatures and periods of prolonged, depressed temperatures. These indices track features of how daily minimum temperatures have changed. Data shown are global averages from observation-based data sets.

Find out more about changes in low temperature extremes

Number of cold nights (TN10p) difference from 1961-1990.

Number of cold nights (TN10p) difference from 1961-1990.

The plot shows the change in the number of cold nights in each year - days when the minimum temperature falls below the 10th percentile of the distribution for the period 1961-1990 - expressed as a difference from the 1961-1990 average. Data are shown for two global, observation-based data sets: HadEX3 and GHCNDEX. Note that these data sets have unequal coverage and that the time series are based on gridboxes that are at least 90% complete in time. The uncertainty associated with incomplete coverage (and only incomplete coverage, estimated by subsampling reanalysis fields from ERA5) is shown for the HadEX3 data set.


Coldest night (TNn) difference from 1961-1990.

Coldest night (TNn) difference from 1961-1990.

The plot shows the global mean of the lowest temperature recorded each year, expressed as an anomaly relative to the 1961-1990 average. Data are shown for two global, observation-based data sets: HadEX3 and GHCNDEX. Note that these data sets have unequal coverage and that the time series are based on gridboxes that are at least 90% complete in time. The uncertainty associated with incomplete coverage (and only incomplete coverage, estimated by subsampling reanalysis fields from ERA5) is shown for the HadEX3 data set.


Cold spell duration index (CSDI) difference from 1961-1990.

Cold spell duration index (CSDI) difference from 1961-1990.

The plot shows the number of days in cold spells expressed as a difference from the 1961-1990 average. A cold spell is a period of six or more consecutive days when the minimum temperature falls below the 90th percentile of the 1961-1990 distribution. Data are shown for two global, observation-based data sets: HadEX3 and GHCNDEX. Note that these data sets have unequal coverage and that the time series are based on gridboxes that are at least 90% complete in time. The uncertainty associated with incomplete coverage (and only incomplete coverage, estimated by subsampling reanalysis fields from ERA5) is shown for the HadEX3 data set.

×

Why are extreme temperatures important?

For regions with a strong seasonal cycle, the onset of winter and the associated cold temperatures are an important marker during the year. Some plants need frosts to help with germination; although terminal for some individuals, cold temperatures help reduce the population of parasites and “pest” animals.

In mountainous or polar regions, winters are important as this is the period when snow falls, and ice and ground freezes. If minimum temperatures are warmer, then this results in more precipitation falling as rain rather than snow, more snow melting (both affecting how glaciers are fed), and a shorter period of freezing for ice and permafrost. These can affect the plants and animals who live in these regions, but also those societies who rely on winter snow and ice for their livelihoods. Also, structures which are built on frozen ground can become unstable should the permafrost thaw, and in alpine regions, mountainsides can become unstable as the binding ice melts, threatening dwellings in the valleys below.

How have temperature extremes changed?

The number of cool nights has decreased since the beginning of the 20th Century, with around 20 fewer cool nights since the middle of the century. Correspondingly the duration of cold spells has dropped by 8 days on average (globally) during the same period. And the temperature of the coldest nights has on average increased by 4°C.

In comparison with the indices measuring high temperatures (on the other end of the temperature distribution) the change over time for all three indices is much steadier, starting from the beginning of the 20th Century, with no strong pauses or increases in the middle of last century.

How are the temperature indices defined?

The “Cool Nights” index (TN10p) measures the number of days where the minimum temperature (Tn) exceeds a threshold set by the 10th percentile value (that level which the coldest 10% of nights fall below). This threshold is set using a reference period (1961-90). The “Cold Spell” (CSDI) counts runs of days which fall below the 10th percentile value and measures the longest of these. And, finally, the “Coldest Day” (TNn) is the simplest, the coldest minimum temperature reached within a year.

Why have extreme temperatures changed?

The Intergovernmental Panel on Climate Change (IPCC) concluded in 2013 that “It is very likely that anthropogenic forcing has contributed to the observed changes in the frequency and intensity of daily temperature extremes on the global scale since the mid-20th century.”

The indices presented on this page measure the frequency (TN10p) and intensity (TNn) of cold spells, and so changes in these are very likely to have come from the emission of greenhouse gases and other human activities with impacts on our climate. At the time of the last IPCC assessment, no such conclusion could be drawn about the duration of cold periods (CSDI).

Find out more?

More information on climate indices can be found at climdex.org.

HadEX3 was developed in collaboration between the Met Office, ARC Centre of Excellence for Climate Extremes at the University of New South Wales, Environment and Climate Change Canada and Barcelona Supercomputing Center. For a full list of contributors, please see the journal article and the main dataset webpage for HadEX3.

References

GHCNDEX

HadEX3