• Catalogue PIGMA
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Global marine heat waves: frequency, classification and distribution from 1996-2020

This dataset comprises the global frequency, classification and distribution of marine heat waves (MHWs) from 1996-2020, in Chauhan et al. 2023 (https://doi.org/10.3389/fmars.2023.1177571). The classification was done based on their attributes and using different baselines.

Daily SST values were extracted from the NOAA-OISST v2 high-resolution (0.25°) dataset from 1982-2020. MHWs were detected using the method presented by Hobday et al. 2016 (https://doi.org/10.1016/j.pocean.2015.12.014), and by using the 95th percentile of the accumulated temperature distribution to flag the extreme events. A shifting baseline of 8-year rolling period was selected between the years 1982-1996, since this period shows relatively stable maximum values of temperature across different ocean regions. The shifting baseline aims to account for the decadal changes of westerly winds, temperatures and ocean gyres circulations.

The classification was done using the KMeans clustering algorithm to identify the relevant features of MHWs and classify them into separate groups based on feature similarities. This algorithm takes MHW features, namely duration, maximum intensity, rate onset and rate decline, as input vectors and applies clustering in the 4-dimensional feature space where each data point represents an MHW event. Note that all the MHWs features are standardized because unequal variances can put more weight on variables with smaller variances.

This record comprehends the geospatial datasets of:

Average number of MHW days per year (i.e., the sum of all MHW days divided by the total number of years, 1996-2020).

Average cumulative intensity per year (i.e., the sum of cumulative intensity divided by the total number of years, 1996-2020).

Total number of MHW events across the different periods averaged on the total number of years (1989-2020). The period 1982-1988 was only used as an initial baseline without calculating MHWs.

Spatial distribution of three MHW categories: moderate MHWs, abrupt and Intense MHWs and extreme MHWs; displaying the total number of MHW days normalized by the number of years considered (i.e., 1989-2020).

Distribution of Extreme MHWs across the different periods (A) 1989-1996, (B) 1997-2004, (C) 2005-2012, (D) 2013-2020. The relative frequency (γ) is a ratio of extreme MHWs in a specific period and all extreme MHWs in the same cluster for all periods.

Simple

Date (Creation)
2023-11-08
Unique resource identifier
https://www.vliz.be//en/imis?dasid=8235
Credit
Technical University of Denmark (Denmark)
Originator
  Technical University of Denmark - Patrizio Mariani
Point of contact
  Technical University of Denmark - Anshul Chauhan
GEMET - INSPIRE themes, version 1.0
  • Oceanographic geographical features
Spatial scope
  • Global
Mission Atlantic - BODC Parameters
  • /Physical oceanography
Mission Atlantic - Case Studies
  • Atlantic Ocean
  • Canary Current system
  • Celtic Seas
  • North Mid-Atlantic Ridge
  • Norwegian Sea
  • South Brazilian Shelf
  • Southern Benguela
  • South Mid-Atlantic Ridge
Mission Atlantic - Data type (DMP)
  • Environmental data
Mission Atlantic - Resources
  • Article
  • MISSION ATLANTIC Results
  • Data
Mission Atlantic - Work Package
  • WP5 Assessing state, drivers and tipping points
Thèmes Sextant
  • /Physical Environment
Use constraints
Other restrictions
Other constraints
Attribution (CC BY)
Access constraints
Other restrictions
Other constraints
There are no limitations on public access to spatial data sets and services.
Spatial representation type
Grid
Distance
0.25  degrees
Metadata language
No linguistic contentzxx
Topic category
  • Climatology, meteorology, atmosphere
  • Oceans
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S
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W
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Begin date
1996-01-01
End date
2020-12-31
Unique resource identifier
EPSG:4326
Distribution format
  • NetCDF (Network Common Data Form) ()

OnLine resource
Scientific publication ( WWW:LINK-1.0-http--link )
OnLine resource
IMIS catalogue ( WWW:LINK )
Hierarchy level
Dataset

Domain consistency

Conformance result

Date (Publication)
2017-03-02
Explanation
This metadata set is conformant with the Technical Guidance for the implementation of INSPIRE dataset and service metadata based on ISO/TS 19139:2007
Pass
Yes

Conformance result

Date (Publication)
2010-12-08
Explanation
Conformance of this data set with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services was not evaluated
Statement
Daily SST was extracted from NOAA-OISST v2 high resolution (0.25°) dataset from 1982-2020. MHWs are detected using the method presented in Hobday et al. (2016), using the 95th percentile of the accumulated temperature distribution to flag the extreme events. The period from 1982-1996 was used as a baseline. The KMeans clustering algorithm was used for MHW classification. See abstract for further details.
File identifier
f7603147-f165-4d9c-9a1d-061bf0027eae XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2024-09-03T07:23:46.135Z
Point of contact
  Technical University of Denmark
 
 

Overviews

overview

Spatial extent

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E
W
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Keywords

GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
Mission Atlantic - BODC Parameters
/Physical oceanography
Mission Atlantic - Case Studies
Atlantic Ocean Canary Current system Celtic Seas North Mid-Atlantic Ridge Norwegian Sea South Brazilian Shelf South Mid-Atlantic Ridge Southern Benguela
Mission Atlantic - Data type (DMP)
Environmental data
Mission Atlantic - Resources
Article Data MISSION ATLANTIC Results
Mission Atlantic - Work Package
WP5 Assessing state, drivers and tipping points
Thèmes Sextant
/Physical Environment

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