{"datasetrec":{"DasID":8235,"Acronym":null,"StandardTitle":"Global marine heat waves: frequency, classification and distribution from 1996-2020","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":null,"VersionDate":"Nov 8 2023 8:31AM","VersionDay":8,"VersionMonth":11,"VersionYear":2023,"SizeReference":null,"EngAbstract":"

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: 

  1. Average number of MHW days per year (i.e., the sum of all MHW days divided by the total number of years, 1996-2020).
  2. Average cumulative intensity per year (i.e., the sum of cumulative intensity divided by the total number of years, 1996-2020).
  3. 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.
  4. 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).
  5. 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. 
","EngDescr":"

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862428 (MISSION ATLANTIC).

","OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":1,"DescrTransFlag":0,"Citation":"Chauhan, A.; Mariani, P.; Technical University of Denmark (DTU), Denmark; (2023): Global marine heat waves: frequency, classification and distribution from 1996-2020.","AccessConstraints":"This dataset is under moratorium until 2026-05-06.","UDate":"2024-06-05","CDate":"2023-03-17","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-05-30 01:37:59.451226","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":0,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"GIS maps","DasTypeID":11,"DasOrigin":null,"Progress":null,"AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"\"Creative This dataset is licensed under a Creative Commons Attribution 4.0 International License.","License":"https://creativecommons.org/licenses/by/4.0/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":"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. 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