CoChat
Sign Up
Cited by 2,133Oceanographic and Atmospheric ProcessesClimate variability and modelsMarine and fisheries research

The DOI matches its Crossref record; 74 of the 75 references it cites were found in a registry or an index.

Longer and more frequent marine heatwaves over the past century.

Open access
Oliver, Eric C. J., Donat, Markus G., Burrows, Michael T., Moore, Pippa J., Smale, Dan A., Alexander, Lisa V., Benthuysen, Jessica A., Feng, Ming, Sen Gupta, Alex, Hobday, Alistair J., Holbrook, Neil J., Perkins-Kirkpatrick, Sarah E., Scannell, Hillary A., Straub, Sandra C., Wernberg, Thomas·2018·Nature Communications
DOI 10.1038/s41467-018-03732-9PMC PMC5893591
Open this paper in CoChat — free accountOpen PDF

Abstract

Heatwaves are important climatic extremes in atmospheric and oceanic systems that can have devastating and long-term impacts on ecosystems, with subsequent socioeconomic consequences. Recent prominent marine heatwaves have attracted considerable scientific and public interest. Despite this, a comprehensive assessment of how these ocean temperature extremes have been changing globally is missing. Using a range of ocean temperature data including global records of daily satellite observations, daily in situ measurements and gridded monthly in situ-based data sets, we identify significant increases in marine heatwaves over the past century. We find that from 1925 to 2016, global average marine heatwave frequency and duration increased by 34% and 17%, respectively, resulting in a 54% increase in annual marine heatwave days globally. Importantly, these trends can largely be explained by increases in mean ocean temperatures, suggesting that we can expect further increases in marine heatwave days under continued global warming.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-018-03732-9

Cites

74 of 74 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Global sea surface temperature and marine heatwave properties. a, d, g, j Mean over the 1982–2016 period, b, e, h, k difference between the 1982–1998 and 2000–2016 periods, and c, f, i, l globally averaged time series of annual mean a–c marine heatwave (MHW) count, d–f MHW intensity, g–i MHW duration and j–l SST from NOAA OI SST over 1982–2016. In b, e, h and k, hatching indicates the change is significantly different from zero at the 5% level. In c, f, i and l, the black lines show the globally averaged time series and red lines show a global average after removing the signature of ENSO. In c, f, i and l, the light red and blue shading indicate El Niño and La Niña periods, respectively, defined by periods exceeding ±1 s.d. of the MEI index for at least three consecutive months
Fig. 1 Global sea surface temperature and marine heatwave properties. a, d, g, j Mean over the 1982–2016 period, b, e, h, k difference between the 1982–1998 and 2000–2016 periods, and c, f, i, l globally averaged time series of annual mean a–c marine heatwave (MHW) count, d–f MHW intensity, g–i MHW duration and j–l SST from NOAA OI SST over 1982–2016. In b, e, h and k, hatching indicates the change is significantly different from zero at the 5% level. In c, f, i and l, the black lines show the globally averaged time series and red lines show a global average after removing the signature of ENSO. In c, f, i and l, the light red and blue shading indicate El Niño and La Niña periods, respectively, defined by periods exceeding ±1 s.d. of the MEI index for at least three consecutive monthsCC BY · PubMed Central
Fig. 2 Total number of marine heatwave days globally. Globally averaged time series of total marine heatwave (MHW) days from NOAA OI SST over 1982–2016. The black line shows the globally averaged time series of total MHW days from NOAA OI SST over 1982–2016. The red line shows this metric after removing the signature of ENSO. The light red and blue shading indicate El Niño and La Niña periods, respectively, defined by periods exceeding ±1 s.d. of the MEI index for three consecutive months
Fig. 2 Total number of marine heatwave days globally. Globally averaged time series of total marine heatwave (MHW) days from NOAA OI SST over 1982–2016. The black line shows the globally averaged time series of total MHW days from NOAA OI SST over 1982–2016. The red line shows this metric after removing the signature of ENSO. The light red and blue shading indicate El Niño and La Niña periods, respectively, defined by periods exceeding ±1 s.d. of the MEI index for three consecutive monthsCC BY · PubMed Central
Fig. 3 Identification of excess trends in marine heatwave properties globally. Shown are linear trends in a marine heatwave frequency, b marine heatwave intensity, c marine heatwave duration, d annual mean SST, e annual SST variance and f annual SST skewness from NOAA OI SST over 1982–2016. Hatching in a–c indicates the linear trend is significantly different from what is expected solely due to the rise in the annual mean SST (at the 5% level), based on the statistical climate model. Hatching in d–f indicates the linear trend is significant from zero (p < 0.05)
Fig. 3 Identification of excess trends in marine heatwave properties globally. Shown are linear trends in a marine heatwave frequency, b marine heatwave intensity, c marine heatwave duration, d annual mean SST, e annual SST variance and f annual SST skewness from NOAA OI SST over 1982–2016. Hatching in a–c indicates the linear trend is significantly different from what is expected solely due to the rise in the annual mean SST (at the 5% level), based on the statistical climate model. Hatching in d–f indicates the linear trend is significant from zero (p < 0.05)CC BY · PubMed Central
Fig. 4 Marine heatwave properties at six sites with century-long daily in situ temperature records. Shown are a–f the number of marine heatwaves (MHW) in each year, g–l average annual MHW intensity, m–r average annual MHW duration at Pacific Grove, Scripps Pier, Newport Beach (USA), Arendal (Norway), Port Erin (UK) and Race Rocks (Canada). Red lines show means over 1925–1954 and 1984–2013 and red text indicates differences between these periods (a star indicates statistical significance at the 5% level)
Fig. 4 Marine heatwave properties at six sites with century-long daily in situ temperature records. Shown are a–f the number of marine heatwaves (MHW) in each year, g–l average annual MHW intensity, m–r average annual MHW duration at Pacific Grove, Scripps Pier, Newport Beach (USA), Arendal (Norway), Port Erin (UK) and Race Rocks (Canada). Red lines show means over 1925–1954 and 1984–2013 and red text indicates differences between these periods (a star indicates statistical significance at the 5% level)CC BY · PubMed Central
Fig. 5 Centennial-scale changes in marine heatwave proxies derived from monthly gridded sea surface temperature data sets. a, c, e Difference between 1925–1954 and 1987–2016 and b, d, f globally averaged time series of annual a, b marine heatwave (MHW) frequency, c, d MHW duration and e, f total MHW days based on monthly proxies derived from all proxy data sets (data set mean) over 1900–2016. In a, c,e, hatching indicates that all five data sets agreed on the sign of the change (corresponding to 5% significance based on a binomial distribution) and grey areas indicate no data. The equivalent maps for each individual data set can be found in Supplementary Fig. 4. In b, d, f, globally averaged time series of MHW properties are shown for (thick red line) the NOAA OI SST 1982–2016 data, (thin coloured lines) the individual proxy data sets and (thick black line) the mean across all five proxy data sets. The shaded areas show the 95% confidence intervals based on proxy model errors, averaged across the five data sets (taking into account temporal covariance)
Fig. 5 Centennial-scale changes in marine heatwave proxies derived from monthly gridded sea surface temperature data sets. a, c, e Difference between 1925–1954 and 1987–2016 and b, d, f globally averaged time series of annual a, b marine heatwave (MHW) frequency, c, d MHW duration and e, f total MHW days based on monthly proxies derived from all proxy data sets (data set mean) over 1900–2016. In a, c,e, hatching indicates that all five data sets agreed on the sign of the change (corresponding to 5% significance based on a binomial distribution) and grey areas indicate no data. The equivalent maps for each individual data set can be found in Supplementary Fig. 4. In b, d, f, globally averaged time series of MHW properties are shown for (thick red line) the NOAA OI SST 1982–2016 data, (thin coloured lines) the individual proxy data sets and (thick black line) the mean across all five proxy data sets. The shaded areas show the 95% confidence intervals based on proxy model errors, averaged across the five data sets (taking into account temporal covariance)CC BY · PubMed Central
Fig. 6 Influence of climate modes on marine heatwaves globally. Globally averaged time series of annual (first row) marine heatwave (MHW) frequency, (second row) duration and (third row) total MHW days based on monthly proxies over 1900–2016. Shown are the original results which include the influence of major global-scale climate modes (i.e., ENSO, PDO, AMO; blue lines) and results after the removal of their global signature (thin coloured lines and thick black lines). The shaded areas show the 95% confidence intervals based on model errors, averaged across proxy data sets (taking into account temporal covariance; after removal of climate modes). Note that the blue lines in this figure are identical to the black lines in Fig. 5
Fig. 6 Influence of climate modes on marine heatwaves globally. Globally averaged time series of annual (first row) marine heatwave (MHW) frequency, (second row) duration and (third row) total MHW days based on monthly proxies over 1900–2016. Shown are the original results which include the influence of major global-scale climate modes (i.e., ENSO, PDO, AMO; blue lines) and results after the removal of their global signature (thin coloured lines and thick black lines). The shaded areas show the 95% confidence intervals based on model errors, averaged across proxy data sets (taking into account temporal covariance; after removal of climate modes). Note that the blue lines in this figure are identical to the black lines in Fig. 5CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 75 references

Research works printed but not linked: 5

  1. Olita, A., Sorgente, R., Ribotti, A., Natale, S. & Gaberšek, S. Effects of the 2003 European heatwave on the Central Mediterranean Sea surface layer: a numerical simulation. Ocean Sci. Discuss. 3, 85–125 (2006). · DOI
  2. Mills, K. E. et al. Lessons from the 2012 Ocean Heat Wave in the NorthwestAtlantic. Oceanography 26, 60–64 (2012).
  3. Bindoff, N. L. et al. Climate Change 2013: The Physical Science Basis. Contribution of Working Group 1 to the Fifth Asessment Report of the Intergovernmental Panel on Climate Change. Climate Change 2013: The Physical Science Basis. Contribution of Working Group 1 to the Fifth Asessment Report of the Intergovernmental Panel on Climate Change (Cambridge University Press, Cambridge, UK and New York, USA, 2013).
  4. Oliver, E. C. J., Perkins-Kirkpatrick, S. E., Holbrook, N. J. & Bindoff, N. L. Anthropogenic influences on record 2016 marine heatwaves. Bull. Am. Meteorol. Soc. 98, S44–S48 (2017).
  5. de Coëtlogon, G. & Frankignoul, C. The persistence of winter sea surface temperature in the North Atlantic. J. Clim. 16, 1364–1377 (2003). · DOI

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Oliver, E. C. J., Donat, M. G., Burrows, M. T., Moore, P. J., Smale, D. A., Alexander, L. V., Benthuysen, J. A., Feng, M., Sen Gupta, A., Hobday, A. J., Holbrook, N. J., Perkins-Kirkpatrick, S. E., Scannell, H. A., Straub, S. C., & Wernberg, T.
Affiliations
  • University of Tasmania (AU)
  • Australian Research Council (AU)
  • Scottish Association For Marine Science (GB)
  • Aberystwyth University (GB)
  • Marine Biological Association of the United Kingdom (GB)
  • Australian Institute of Marine Science (AU)
  • CSIRO Oceans and Atmosphere (AU)
  • University of Washington (US)
  • The University of Western Australia (AU)
Corresponding author
Oliver, Eric C. J.
ORCID
Venue
Nature Communications
Publisher
Springer Science and Business Media LLC
Published
2018-04-10
Volume
9
Issue
1
Pages
1324-1324
ISSN
2041-1723 (ISSN-L)
DOI
10.1038/s41467-018-03732-9
PMC
PMC5893591
OpenAlex
W2797541543
Cited by
2,133
References
75
Citations by year
2026: 260 · 2025: 355 · 2024: 383 · 2023: 281 · 2022: 277 · 2021: 262 · 2020: 162 · 2019: 134 · 2018: 16
FWCI
92.21
Type
journal article
Language
en
Open access
Licence
Locations
  • Nature Communications (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UTAS Research Repository (acceptedVersion)
  • Marine Biological Association (acceptedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
  • eCite Digital Repository (University of Tasmania) (submittedVersion, cc-by)
  • UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
  • NOAA Institutional Repository (submittedVersion, cc-by)
  • ANU Open Research (Australian National University) (submittedVersion)
  • Newcastle University ePrints (Newcastle Univesity) (cc-by)
Funders
  • Australian Government (CE170100023)
  • European Commission (303685)
  • Commonwealth Scientific and Industrial Research Organisation
  • Climate Extremes (CE170100023)
  • Natural Environment Research Council (NE/K008439/, NE/J015148/1, NE/N00678X/1, NE/J022446/1, NE/J021938/1, NE/K008439/1, NE/J024082/1, NE/J015644/1)
  • Australian Research Council (DP170100023, FS110200029, FT110100174, DE150100456, DE140100952)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Marine and fisheries research
Keywords
marine heatwaves, heatwave frequency, heatwave duration, global warming, ocean warming, climate extremes, ocean heat content

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review