Cited by 2,378Oceanographic and Atmospheric ProcessesMarine and fisheries researchCoral and Marine Ecosystems Studies

The DOI matches its Crossref record; 78 of the 81 references it cites were found in a registry or an index; 15 of the 27 sources its claims cite were checked for support.

A hierarchical approach to defining marine heatwaves

Open access
Hobday, Alistair J., Alexander, Lisa V., Perkins, Sarah E., Smale, Dan A., Straub, Sandra C., Oliver, Eric C.J., Benthuysen, Jessica A., Burrows, Michael T., Donat, Markus G., Feng, Ming, Holbrook, Neil J., Moore, Pippa J., Scannell, Hillary A., Sen Gupta, Alex, Wernberg, Thomas·2016·Progress in Oceanography

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper proposes a hierarchical framework for defining marine heatwaves (MHWs), with a general qualitative definition and a specific quantitative definition: anomalously warm events lasting ≥5 days above the 90th percentile of a 30-year baseline. It illustrates the metrics on three 21st-century MHWs and recommends consistent metrics for global comparisons.

Key findings

  • A MHW is generally defined as a prolonged discrete anomalously warm water event described by duration, intensity, rate of evolution, and spatial extent; specifically, it lasts five or more days with temperatures warmer than the 90th percentile based on a 30-year historical baseline, with gaps of ≤2 days treated as continuous.
  • The hierarchical metrics are primary (duration, maximum/mean/cumulative intensity), secondary (rate of onset/decline, spatial extent), and tertiary (preconditioning factors); the definition was implemented in a free Python package, marineHeatWaves.
  • For Western Australia, 59 MHW events were identified between 1982 and 2014; the 2011 Ningaloo Niño was the largest by maximum intensity (6.50°C) and mean intensity (3.21°C), lasting 60 days with cumulative intensity of 192°C days, while the longest event lasted 95 days in 1999.
  • For the northern Mediterranean, 70 events were identified; the 2003 MHW was largest by mean intensity (4.06°C), lasting 30 days with maximum intensity 5.02°C. For the northwest Atlantic, 67 events were identified; the longest lasted 187 days (31 July 2012–2 February 2013) with maximum intensity 4.00°C, mean intensity 2.37°C, and cumulative intensity 443°C days.

Methods

  • The paper synthesizes lessons from atmospheric heatwave definitions, especially Perkins and Alexander (2013), to propose qualitative and quantitative MHW definitions; a sensitivity analysis for the five-day minimum duration used high-resolution (1/4°), global, daily SSTs from AVHRR satellite data (NOAA OI SST V2).
  • Three case-study regions—Western Australia 2011, northern Mediterranean 2003, and northwest Atlantic 2012—were analyzed using 1/4° daily NOAA OI SST time series, with metrics calculated via the marineHeatWaves Python code.
  • A dataset comparison for the 2011 Ningaloo Niño used monthly and weekly Reynolds SST, daily satellite NOAA OISST, and an hourly in situ logger from Jurien Bay; Table 3 qualitatively scores different data sources for their ability to provide primary, secondary, and tertiary MHW metrics.

Limitations

  • The paper states that the qualitative definition may have limited application in intertidal zones, where ecological responses to high sea temperatures are mediated by air temperature, precipitation, and atmospheric conditions.
  • The paper states that limitations in baseline length, quality, consistency, resolution, and availability may restrict the method; remotely sensed data begin in the 1980s–1990s, so the climatological period may need to be shorter, and different datasets can provide substantially different MHW information despite using the same metrics.
  • The paper states that certain indices may not be derivable from some data sources—for example, in situ data cannot provide spatial extent, and paleo proxies and traditional ecological data can at best provide quantitative information on long-lived MHWs. Evident from the text: the three case studies are illustrative rather than a global validation, and the tertiary preconditioning metric is left as a placeholder without formal definition.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1016/j.pocean.2015.12.014

Cites

78 of 78 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

15 of 27 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured

Show all 25 claims

  • Probably not a substantial claim. 60
  • It may state two separate claims as one. 26
70 of 70
  • The paper relies on this without support.

    A five-day minimum duration is appropriate for ecological processes and impacts.

    “Our general recommendation is that the MHW needs to persist for at least five days.”
    “the definition should be relevant to ecological processes and thresholds (based on evidence of impact), but for each process this threshold may be different.”
  • The paper relies on this without support.

    A 90th percentile threshold is appropriate for defining marine heatwaves across regions.

    “A MHW should be defined relative to a high percentile threshold (e.g. 90%).”
  • The paper relies on this without support.

    The thermal thresholds of performance of different biological traits must be known to identify the risk of MHW impacts on biological activity.

    “In order to identify the risk of MHW impacts on biological activity, the thermal thresholds of the performance of different biological traits must also be known, and is the subject of ongoing research.”
  • The paper relies on this without support.

    It is generally rare for five consecutive days above their relative 90th percentile to occur.

    “it is generally 'rare' for (five) consecutive days above their relative 90 th percentile to occur.”
  • The paper relies on this without support.

    Shorter heat spikes may have ecological impacts in the ocean.

    “Shorter heat spikes may have ecological impacts in the ocean, but these are distinct features”
  • The paper relies on this without support.

    Confidence in the robust detection of MHWs and capacity to compare between events and examine spatiotemporal trends will only be achieved with the use of high-quality datasets.

    “Confidence in the robust detection of MHWs (and capacity to compare between events and examine spatiotemporal trends) will only be achieved with the use of high-quality datasets.”
  • The paper relies on this without support.

    The satellite-derived SST dataset allows for robust detection of MHWs.

    “the satellite-derived SST dataset allows for robust detection of MHWs but should be complemented with high quality in situ data (e.g. from coastal temperature loggers or oceanographic moorings).”
  • The paper relies on this without support.

    Atmospheric heatwaves are analogous to marine heatwaves.

    “analogous to atmospheric heatwaves”
  • The authors state this as an assumption.

    The marine heat wave definitions use daily sea surface temperature data and treat a marine heat wave as having a discrete start day and end day.

    “All definitions assume that daily SST data, T, and that a MHW has a discrete start day and end day.”
9 of 9

Self-check

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

Each contradiction between two passages listed here was confirmed by an independent check.

  • Table 3 assigns the wrong unit to mean intensity

    Minor

    Table 3 groups mean intensity and cumulative intensity under °C days, whereas Table 2 assigns mean intensity the unit °C. °C days applies to cumulative intensity, not mean intensity.

  • Figure 4 dates the 2011 Ningaloo Niño to the following summer

    Minor

    The text places the Western Australia heatwave in the austral summer of 2011 and links it to the 2010/11 La Niña, but the Figure 4 legend marks the heatwave from December 2011 to April 2012.

2 of 2

Citations

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Metadata

Authors
Hobday, A. J., Alexander, L. V., Perkins, S. E., Smale, D. A., Straub, S. C., Oliver, E. C. J., Benthuysen, J. A., Burrows, M. T., Donat, M. G., Feng, M., Holbrook, N. J., Moore, P. J., Scannell, H. A., Sen Gupta, A., & Wernberg, T.
Affiliations
  • CSIRO Oceans and Atmosphere (AU)
  • UNSW Sydney (AU)
  • Marine Biological Association of the United Kingdom (GB)
Corresponding author
Hobday, Alistair J.
Venue
Progress in Oceanography
Publisher
Elsevier BV
Published
2016-02
Volume
141
Pages
227-238
ISSN
0079-6611 (ISSN-L)
OpenAlex
W2230443456
Cited by
2,377
References
81
Citations by year
2026: 410 · 2025: 466 · 2024: 422 · 2023: 341 · 2022: 261 · 2021: 187 · 2020: 115 · 2019: 87 · 2018: 40 · 2017: 33 · 2016: 12
FWCI
46.67
Type
journal article
Language
en
Open access
Locations
  • Progress In Oceanography (acceptedVersion)
  • Marine Biological Association (acceptedVersion)
  • NOAA Institutional Repository (submittedVersion, public-domain)
  • eCite Digital Repository (University of Tasmania) (submittedVersion)
  • UWA Profiles and Research Repository (UWA) (submittedVersion)
  • UNSWorks (UNSW Sydney) (submittedVersion, cc-by-nc-nd)
  • Figshare (submittedVersion, cc-by)
  • ANU Open Research (Australian National University) (submittedVersion)
  • UNSWorks (University of New South Wales, Sydney, Australia) (submittedVersion, cc-by-nc-nd)
  • Newcastle University ePrints (Newcastle Univesity)
Funders
  • University of Western Australia Research Collaboration Award
  • UWA School of Plant Biology
  • ARC Centre of Excellence for Climate System Science
  • ARC (DE140100952)
  • MGD (DE150100456)
  • LVA (CE110001028)
  • NERC (NE/J024082/1)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Oceanography › Oceanographic and Atmospheric Processes
  • Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Marine and fisheries research
  • Physical Sciences › Environmental Science › Ecology › Coral and Marine Ecosystems Studies
Keywords
marine heatwaves, ocean temperature anomalies, climate change impacts, range shifts, fisheries impacts, aquaculture impacts

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