A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023
Journal article, 2024
Sea ice is a key element of the global Earth system, with a major impact on global climate and regional weather. Unfortunately, accurate sea ice modeling is challenging due to the diversity and complexity of underlying physics happening there, and a relative lack of ground truth observations. This is especially true for the Marginal Ice Zone (MIZ), which is the area where sea ice is affected by incoming ocean waves. Waves contribute to making the area dynamic, and due to the low survival time of the buoys deployed there, the MIZ is challenging to monitor. In 2022-2023, we released 79 OpenMetBuoys (OMBs) around Svalbard, both in the MIZ and the ocean immediately outside of it. OMBs are affordable enough to be deployed in large number, and gather information about drift (GNSS position) and waves (1-dimensional elevation spectrum). This provides data focusing on the area around Svalbard with unprecedented spatial and temporal resolution. We expect that this will allow to perform validation and calibration of ice models and remote sensing algorithms.
Svalbard
ice modeling
drift
OpenMetBuoys
waves
Author
Jean Rabault
Norwegian Meteorological Institute
Catherine Taelman
University of Tromsø – The Arctic University of Norway
Martina Idžanović
Norwegian Meteorological Institute
Gaute Hope
Norwegian Meteorological Institute
Takehiko Nose
University of Tokyo
Yngve Kristoffersen
University of Bergen
Atle Jensen
University of Oslo
Øyvind Breivik
University of Bergen
Norwegian Meteorological Institute
Helge Thomas Bryhni
University of Bergen
Norwegian Meteorological Institute
Mario Hoppmann
Helmholtz
Denis Demchev
Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing
Anton Korosov
Nansen Environmental and Remote Sensing Center
Malin Johansson
University of Tromsø – The Arctic University of Norway
Torbørn Eltoft
University of Tromsø – The Arctic University of Norway
Knut Frode Dagestad
Norwegian Meteorological Institute
Johannes Röhrs
Norwegian Meteorological Institute
Leif Eriksson
Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing
Marina Durán Moro
Norwegian Meteorological Institute
Edel S.U. Rikardsen
Norwegian Meteorological Institute
University of Oslo
T. Waseda
University of Tokyo
Japan Agency for Marine-Earth Science and Technology
Tsubasa Kodaira
University of Tokyo
Johannes Lohse
University of Tromsø – The Arctic University of Norway
Thibault Desjonquères
University of Gothenburg
Sveinung Olsen
University of Tromsø – The Arctic University of Norway
Olav Gundersen
University of Oslo
Victor Cesar Martins de Aguiar
Norwegian Meteorological Institute
University of Tromsø – The Arctic University of Norway
Truls Karlsen
University of Tromsø – The Arctic University of Norway
Alex Babanin
University of Melbourne
Joey Voermans
University of Melbourne
Jeong Won Park
Korea Polar Research Institute
Malte Müller
University of Oslo
Norwegian Meteorological Institute
Scientific data
2052-4463 (eISSN)
Vol. 11 1 1417Subject Categories (SSIF 2011)
Oceanography, Hydrology, Water Resources
DOI
10.1038/s41597-024-04281-1
Related datasets
In situ data collection from OpenMetBuoys-v2021 (OMBs) deployed in the marginal ice zone around Svalbard in 2022-2023 [dataset]
DOI: : https://adc. met.no/datasets/10.21343/w2se-b681