• Catalogue PIGMA
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Storm tracks based on wave heights from LOPS WAVEWATCH III hindcast and ERA5 reanalysis, years 1991-2024

These storm tracks were obtained from tracking the maxima of significant wave heights. The method was adapted from storm tracking methods that typically use sea level pressure.

Simple

Date (Publication)
2024-03-10
Date (Revision)
2025-06-04
Other citation details
Ardhuin Fabrice, de Carlo Marine (2024). Storm tracks based on wave heights from LOPS WAVEWATCH III hindcast and ERA5 reanalysis, years 1991-2024. SEANOE. https://doi.org/10.17882/105148
Credit
This database was generated as part of the ESA Seastate Climate Change Initiative project. The underlying model data are the ERA5 reanalysis (Hersbach et al. 2020, doi: 10.1002/qj.3803 ) and the GLOB-30M_LOPS_2025 hindcast (Accensi, 2024 doi: 10.12770/87209a81-2c27-452b-86ae-b9c2cc4d43a9)
Author
  Laboratoire d’Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, IRD, Ifremer, IUEM, Brest, 29200, France - Ardhuin Fabrice
Author
  Laboratoire d’Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, IRD, Ifremer, IUEM, Brest, 29200, France Division Radar, CLS, Plouzané, 29200, France. - De Carlo Marine
Publisher
  SEANOE
Theme
  • storms
  • wave height
  • swell
  • tracks
  • Physical oceanography
ODATIS aggregation parameters and Essential Variable names
  • Waves
SeaDataNet Parameter Disciplines
  • Physical oceanography
Type de jeux de donnée ODATIS
  • Simulation data
Use limitation
CC-BY (Creative Commons - Attribution)
Use constraints
Other restrictions
Date (Publication)
2025
Publisher
  SEANOE
Author
  Ardhuin Fabrice
Author
  Postec Taina
Unique resource identifier
10.17882/105447
Association Type
Cross reference
Initiative Type
dataset
Date (Publication)
2024
Publisher
  IFREMER
Author
  Accensi Mickael
Unique resource identifier
10.12770/87209a81-2c27-452b-86ae-b9c2cc4d43a9
Association Type
Cross reference
Initiative Type
dataset
Date (Publication)
2023
Publisher
  Copernicus Climate Change Service (C3S) Climate Data Store (CDS)
Author
  Copernicus Climate Change Service
Unique resource identifier
10.24381/cds.143582cf
Association Type
Cross reference
Initiative Type
dataset
Metadata language
English
Topic category
  • Oceans
N
S
E
W
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Begin date
1991-01-01
End date
2024-12-31
Distribution format
  • NC, NETCDF ( )

  • TAR.GZ ARCHIVE ( )

  • CSV ( )

OnLine resource
Processed data ( WWW:DOWNLOAD-1.0-link--download )

This file contains tracks of storms following the maxima of wave heights in the LOPS 2025 (doi: 10.12770/87209a81-2c27-452b-86ae-b9c2cc4d43a9) - 232 MB

OnLine resource
Processed data ( WWW:DOWNLOAD-1.0-link--download )

Storm tracks 1991-2024 from ERA5 - 209 MB

OnLine resource
tracking tools for model output this is a tar.gz archive. See github for updates: https://github.com/ardhuin/DetectHsStorm - 3 MB ( WWW:DOWNLOAD-1.0-link--download )

tracking tools for model output this is a tar.gz archive. See github for updates: https://github.com/ardhuin/DetectHsStorm - 3 MB

OnLine resource
Quality controlled data ( WWW:DOWNLOAD-1.0-link--download )

top_500_storms_model_only - 76 KB

OnLine resource
DOI of the product ( WWW:LINK-1.0-http--metadata-URL )
OnLine resource
Seanoe ( rel-canonical )
Hierarchy level
Dataset
Statement
These tracks were generated from model output using the version of the DetectHsStorm package available at https://github.com/ardhuin/, based on https://github.com/marine-dc-rain/DetectHsStorm .
File identifier
seanoe:105148 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2025-06-04
Metadata standard name
ISO 19115:2003/19139
Metadata standard version
1.0
Point of contact
  Laboratoire d’Océanographie Physique et Spatiale (LOPS), Univ. Brest, CNRS, IRD, Ifremer, IUEM, Brest, 29200, France - Ardhuin Fabrice
 
 

Overviews

overview
Map of top 100 storms, ranked by maximum wave height, for April 2023 to December 2024, based on the LOPS WAVEWATCH III hindcast (M. Accensi (2024). GLOB-30M_LOPS_2025. IFREMER, doi: 10.12770/87209a81-2c27-452b-86ae-b9c2cc4d43a9 )

Spatial extent

N
S
E
W
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Keywords

Physical oceanography storms swell tracks wave height
ODATIS aggregation parameters and Essential Variable names
Waves
Type de jeux de donnée ODATIS
Simulation data

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