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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Main Authors: Andrea J. Dittus, David J. Karoly, Markus G. Donat, Sophie C. Lewis, Lisa V. Alexander
Format: Article
Language:English
Published: Elsevier 2018-09-01
Series:Weather and Climate Extremes
Online Access:http://www.sciencedirect.com/science/article/pii/S2212094717301093
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spelling 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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