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)
- Mission Atlantic - BODC Parameters
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- /Physical oceanography
- Mission Atlantic - Case Studies
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- 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
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- WP5 Assessing state, drivers and tipping points
- Thèmes Sextant
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- /Physical Environment
- Use constraints
- Other restrictions
- Other constraints
- Attribution (CC BY)
- Access constraints
- Other restrictions
- Spatial representation type
- Grid
- Distance
- 0.25 degrees
- Metadata language
- No linguistic contentzxx
- Topic category
-
- Climatology, meteorology, atmosphere
- Oceans
- Begin date
- 1996-01-01
- End date
- 2020-12-31
- Unique resource identifier
- EPSG:4326
- Distribution format
-
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NetCDF (Network Common Data Form)
()
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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