Preprints
https://doi.org/10.5194/essd-2022-343
https://doi.org/10.5194/essd-2022-343
 
10 Oct 2022
10 Oct 2022
Status: this preprint is currently under review for the journal ESSD.

Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macro events

Giulia Bonino1, Simona Masina1, Giuliano Galimberti2, and Matteo Moretti1,2 Giulia Bonino et al.
  • 1Ocean Modeling and Data Assimilation Division, Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Bologna, Italy
  • 2Department of Statistical Sciences, University of Bologna, Bologna, Italy

Abstract. Marine Heat Waves (MHWs) induce significant impacts on marine ecosystems. There is a growing need for knowledge about extreme climate events to better inform decision-makers on future climate-related risks. Here we present a unique observational dataset of MHWs macro events and their characteristics over the Southern Europe and Western Asian (SEWA) basins, named SEWA-MHWs dataset. The SEWA-MHWs dataset is derived from the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature (SST) v2 dataset and it covers the 1981–2016 period. The methodological framework used to build the SEWA-MHWs dataset is the novelty of this work. Firstly, the MHWs detected in each grid point of the ESA CCI SST dataset are relative to a time-varying baseline climatology. Since intrinsic fluctuation and anthropogenic warming are redefining the mean climate, the baseline considers both the trend and time-varying seasonal cycle. Secondly, using a connected component analysis, MHWs connected in space and time are aggregated in order to obtain macro events. Basically, a macro event-based dataset is obtained from a pixel-based dataset without losing high resolution (i. e. pixel) information. SEWA-MHWs dataset can be used for many scientific applications. For example, we identified phases of the well-know MHW of summer 2003 and, taking advantage of statistical clustering methods, we identified the largest macro events in SEWA basins and we clustered them based on shared metrics and characteristics.

Giulia Bonino et al.

Status: open (until 05 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-343', Anonymous Referee #1, 18 Nov 2022 reply
  • RC2: 'Comment on essd-2022-343', Peter Minnett, 24 Nov 2022 reply
  • CEC1: 'Comment on essd-2022-343', Giuseppe M.R. Manzella, 28 Nov 2022 reply

Giulia Bonino et al.

Data sets

Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macro events Giulia Bonino; Simona Masina; Giuliano Galimberti; Matteo Moretti https://doi.org/10.5281/zenodo.7153256

Giulia Bonino et al.

Viewed

Total article views: 347 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
249 85 13 347 5 4
  • HTML: 249
  • PDF: 85
  • XML: 13
  • Total: 347
  • BibTeX: 5
  • EndNote: 4
Views and downloads (calculated since 10 Oct 2022)
Cumulative views and downloads (calculated since 10 Oct 2022)

Viewed (geographical distribution)

Total article views: 338 (including HTML, PDF, and XML) Thereof 338 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Nov 2022
Download
Short summary
We present a unique observational dataset of Marine Heatwaves (MHWs) macro events and their characteristics over the Southern Europe and western Asian (SEWA) basins, SEWA-MHWs dataset. This dataset is the first effort in literature in archiving extreme hot sea surface temperature macro events. The advantages of the availability of SEWA-MHWs are to avoid waste of computational resources to detect MHWs, and to build a consistent framework which would increase comparability among MHWs studies.