Changes in low temperature extremes - warm nights

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Changes in low temperature extremes - warm nights

These extreme temperature indices help to characterise events marked by unusually high minimum temperatures and periods of prolonged above-average minimum temperatures. Together with "cold nights", these indices track 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 - warm nights

Number of warm nights (TN90p) difference from 1961-1990.

Number of warm nights (TN90p) difference from 1961-1990.

The plot shows the change in the number of warm nights in each year - days when the minimum temperature exceeds the 90th 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.


Warmest night (TNx) difference from 1961-1990.

Warmest night (TNx) difference from 1961-1990.

The plot shows the global mean of the highest minimum 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.


Growing Degree Day (GDDgrow10) difference from 1961-1990.

Growing Degree Day (GDDgrow10) difference from 1961-1990.

The plot shows the number of growing degree days expressed as a difference from the 1961-1990 average. A growing degree day is an accumulative measure of warmth linked to plant growth. Data are shown for one global, observation-based data set: HadEX3. Note that this data sets has unequal coverage over time, and so 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.

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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.

During the summer, high minimum temperatures can contribute to heat stress during heatwaves as the body has no opportunity to cool off between the peaks of temperature each day.

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 warm nights has increased since the beginning of the 20th Century, with around 30 more warm nights since the middle of the century. Correspondingly the number of growing degree days has also increasd by over 200 degree-days on average (globally) during the same period. And the temperature of the warmest nights has on average increased by around 1°C.

How are the temperature indices defined?

The “Warm Nights” index (TN90p) measures the number of days where the minimum temperature (Tn) exceeds a threshold set by the 90th percentile value (that level which the warmest 10% of nights exceed). This threshold is set using a reference period (1961-90). The “Growing Degree Days” (GDDgrow10) cumulatively sums the difference between the average temperature (TM) and 10°C, as a measure of accumulated warmth to stimulate plant growth. And, finally, the “Warmest Night” (TNx) is the simplest: the highest 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 (TN90p) and intensity (TNx) of warm 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 growing degree days (GDDgrow10).

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