Global changes in extreme daily temperature since 1950

S. J. Brown; J. Caesar; C. A. T. Ferro

doi:10.1029/2006jd008091

Sensitivity of European extreme daily temperature return levels to projected changes in mean and variance

Journal of Geophysical Research Atmospheres ◽

10.1002/2012jd019347 ◽

2014 ◽

Vol 119 (6) ◽

pp. 3032-3044 ◽

Cited By ~ 3

Author(s):

A. Lustenberger ◽

R. Knutti ◽

E. M. Fischer

Keyword(s):

Daily Temperature ◽

Return Levels ◽

Mean And Variance ◽

Projected Changes ◽

Extreme Daily Temperature

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Diurnal temperature cycle deduced from extreme daily temperatures and impact over a surface reanalysis system

Advances in Science and Research ◽

10.5194/asr-12-137-2015 ◽

2015 ◽

Vol 12 (1) ◽

pp. 137-140 ◽

Cited By ~ 2

Author(s):

F. Besson ◽

E. Bazile ◽

C. Soci ◽

J.-M. Soubeyroux ◽

G. Ouzeau ◽

...

Keyword(s):

Daily Temperature ◽

Temperature Cycle ◽

Extreme Temperatures ◽

Temperature Analysis ◽

Diurnal Temperature ◽

Hourly Temperature ◽

Observation Network ◽

Temperature Observations ◽

Analysis System ◽

Extreme Daily Temperature

Abstract. Due to the evolution of the observation network, hourly 2 m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. The observation network gap is less present for extreme daily temperature observations. In order to reduce inhomogeneities and enable a climatological use of temperature analysis, information from extreme temperatures could be useful. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures. These new "pseudo" hourly temperature observations are then provided to the analysis system. Two methods have been used to deduce hourly temperatures from extremes and compared to real observations. The results have shown that using those new pseudo-observations as an input for two different reanalysis systems enables reducing the bias in temperature analysis.

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Footprint of greenhouse forcing in daily temperature variability

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.2103294118 ◽

2021 ◽

Vol 118 (32) ◽

pp. e2103294118

Author(s):

Maximilian Kotz ◽

Leonie Wenz ◽

Anders Levermann

Keyword(s):

High Frequency ◽

Climate Models ◽

Coupled Model ◽

Climatic Conditions ◽

Temperature Variability ◽

Daily Temperature ◽

Global Changes ◽

High Latitudes ◽

Protection Measures ◽

Daily Variability

Changes in mean climatic conditions will affect natural and societal systems profoundly under continued anthropogenic global warming. Changes in the high-frequency variability of temperature exert additional pressures, yet the effect of greenhouse forcing thereon has not been fully assessed or identified in observational data. Here, we show that the intramonthly variability of daily surface temperature changes with distinct global patterns as greenhouse gas concentrations rise. In both reanalyses of historical observations and state-of-the-art projections, variability increases at low to mid latitudes and decreases at northern mid to high latitudes with enhanced greenhouse forcing. These latitudinally polarized daily variability changes are identified from internal climate variability using a recently developed signal-to-noise-maximizing pattern-filtering technique. Analysis of a multimodel ensemble from the Coupled Model Intercomparison Project Phase 6 shows that these changes are attributable to enhanced greenhouse forcing. By the end of the century under a business-as-usual emissions scenario, daily temperature variability would continue to increase by up to a further 100% at low latitudes and decrease by 40% at northern high latitudes. Alternative scenarios demonstrate that these changes would be limited by mitigation of greenhouse gases. Moreover, global changes in daily variability exhibit strong covariation with warming across climate models, suggesting that the equilibrium climate sensitivity will also play a role in determining the extent of future variability changes. This global response of the high-frequency climate system to enhanced greenhouse forcing is likely to have strong and unequal effects on societies, economies, and ecosystems if mitigation and protection measures are not taken.

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