Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes
The oceans are a well-known source of natural variability in the climate system, although their ability to account for inter-annual variations of temperature and precipitation extremes over land remains unclear. In this study, the role of sea-surface temperature (SST)-forcing is investigated for var...
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doaj-c416cb8b156940c59733489111edadfb2020-11-25T00:32:14ZengElsevierWeather and Climate Extremes2212-09472018-09-012119Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremesAndrea J. Dittus0David J. Karoly1Markus G. Donat2Sophie C. Lewis3Lisa V. Alexander4School of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia; Australian Research Council Centre of Excellence for Climate System Science, Australia; School of Earth, Atmosphere and Environment, Monash University, Clayton, Victoria, Australia; Corresponding author. Now at: NCAS-Climate, Department of Meteorology, University of Reading, Reading, UK.School of Earth Sciences, The University of Melbourne, Parkville, Victoria, Australia; Australian Research Council Centre of Excellence for Climate System Science, AustraliaAustralian Research Council Centre of Excellence for Climate System Science, Australia; Climate Change Research Centre, UNSW Sydney, New South Wales, AustraliaAustralian Research Council Centre of Excellence for Climate System Science, Australia; School of Physical Environmental and Mathematical Sciences, University of New South Wales, Canberra, ACT, AustraliaAustralian Research Council Centre of Excellence for Climate System Science, Australia; Climate Change Research Centre, UNSW Sydney, New South Wales, AustraliaThe oceans are a well-known source of natural variability in the climate system, although their ability to account for inter-annual variations of temperature and precipitation extremes over land remains unclear. In this study, the role of sea-surface temperature (SST)-forcing is investigated for variability and trends in a range of commonly used temperature and precipitation extreme indices over the period 1959 to 2013. Using atmospheric simulations forced by observed SST and sea-ice concentrations (SIC) from three models participating in the Climate of the Twentieth Century Plus (C20C+) Project, results show that oceanic boundary conditions drive a substantial fraction of inter-annual variability in global average temperature extreme indices, as well as, to a lower extent, for precipitation extremes. The observed trends in temperature extremes are generally well captured by the SST-forced simulations although some regional features such as the lack of warming in daytime warm temperature extremes over South America are not reproduced in the model simulations. Furthermore, the models simulate too strong increases in warm day frequency compared to observations over North America. For extreme precipitation trends, the accuracy of the simulated trend pattern is regionally variable, and a thorough assessment is difficult due to the lack of locally significant trends in the observations. This study shows that prescribing SST and SIC holds potential predictability for extremes in some (mainly tropical) regions at the inter-annual time-scale.http://www.sciencedirect.com/science/article/pii/S2212094717301093 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andrea J. Dittus David J. Karoly Markus G. Donat Sophie C. Lewis Lisa V. Alexander |
spellingShingle |
Andrea J. Dittus David J. Karoly Markus G. Donat Sophie C. Lewis Lisa V. Alexander Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes Weather and Climate Extremes |
author_facet |
Andrea J. Dittus David J. Karoly Markus G. Donat Sophie C. Lewis Lisa V. Alexander |
author_sort |
Andrea J. Dittus |
title |
Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
title_short |
Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
title_full |
Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
title_fullStr |
Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
title_full_unstemmed |
Understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
title_sort |
understanding the role of sea surface temperature-forcing for variability in global temperature and precipitation extremes |
publisher |
Elsevier |
series |
Weather and Climate Extremes |
issn |
2212-0947 |
publishDate |
2018-09-01 |
description |
The oceans are a well-known source of natural variability in the climate system, although their ability to account for inter-annual variations of temperature and precipitation extremes over land remains unclear. In this study, the role of sea-surface temperature (SST)-forcing is investigated for variability and trends in a range of commonly used temperature and precipitation extreme indices over the period 1959 to 2013. Using atmospheric simulations forced by observed SST and sea-ice concentrations (SIC) from three models participating in the Climate of the Twentieth Century Plus (C20C+) Project, results show that oceanic boundary conditions drive a substantial fraction of inter-annual variability in global average temperature extreme indices, as well as, to a lower extent, for precipitation extremes. The observed trends in temperature extremes are generally well captured by the SST-forced simulations although some regional features such as the lack of warming in daytime warm temperature extremes over South America are not reproduced in the model simulations. Furthermore, the models simulate too strong increases in warm day frequency compared to observations over North America. For extreme precipitation trends, the accuracy of the simulated trend pattern is regionally variable, and a thorough assessment is difficult due to the lack of locally significant trends in the observations. This study shows that prescribing SST and SIC holds potential predictability for extremes in some (mainly tropical) regions at the inter-annual time-scale. |
url |
http://www.sciencedirect.com/science/article/pii/S2212094717301093 |
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