A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023

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.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2024-12-21
DOI
https://doi.org/10.1038/s41597-024-04281-1
Citations
7
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
2.63

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023

Sveinung Olsen, Truls Karlsen, Alexander V. Babanin, Johannes Lohse et al.
7 citations
Scientific Data
Arctic and Antarctic ice dynamics
2.63
article

A position and wave spectra dataset of Marginal Ice Zone dynamics collected around Svalbard in 2022 and 2023

Sveinung Olsen, Truls Karlsen, Alexander V. Babanin, Johannes Lohse, Olav Gundersen, Denis Demchev, Takuji Waseda, Torbjørn Eltoft, Knut‐Frode Dagestad, Yngve Kristoffersen, Leif E. B. Eriksson, Tsubasa Kodaira, Catherine Taelman, Gaute Hope, Victor de Aguiar, Edel S. U. Rikardsen, Joey Jeff Voermans, Anton Korosov, Jean Rabault, A. Malin Johansson, Marina Durán Moro, Mario Hoppmann, Atle Jensen, Martina Idžanović, Johannes Röhrs, Malte Müller, Helge Thomas Bryhni, Øyvind Breivik, Thibault Desjonquères, Jeong‐Won Park, Takehiko Nose
article en
7 citations

Abstract

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.

Scientific DataVol. 11(1)
Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (DE), Norwegian Meteorological Institute (NO), Japan Agency for Marine-Earth Science and Technology (JP), The University of Melbourne (AU), University of Oslo (NO), Korea Polar Research Institute (KR), Nansen Environmental and Remote Sensing Center (NO), University of Bergen (NO), Chalmers University of Technology (SE), The University of Tokyo (JP), UiT The Arctic University of Norway (NO), University of Gothenburg (SE)
Norges Forskningsråd, Japan Society for the Promotion of Science
Openalex Percentile: Top 10%
Arctic and Antarctic ice dynamics
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.