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2022年和2023年在斯瓦尔巴群岛周边收集的边缘冰区动力学位置和波谱数据集。

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

作者信息

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

机构信息

Norwegian Meteorological Institute, IT Department, Oslo, 0313, Norway.

UiT The Arctic University of Norway, Dept. of Physics and Technology, 9037, Tromsø, Norway.

出版信息

Sci Data. 2024 Dec 21;11(1):1417. doi: 10.1038/s41597-024-04281-1.

DOI:10.1038/s41597-024-04281-1
PMID:
39709504
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11663220/
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.

摘要

海冰是全球地球系统的关键要素,对全球气候和区域天气有重大影响。不幸的是,由于海冰区域底层物理过程的多样性和复杂性,以及相对缺乏实地观测数据,精确的海冰建模具有挑战性。对于边缘冰区(MIZ)而言尤其如此,边缘冰区是海冰受入射海浪影响的区域。海浪使该区域变得动态,并且由于部署在那里的浮标的存活时间较短,对边缘冰区进行监测具有挑战性。在2022年至2023年期间,我们在斯瓦尔巴群岛周围的边缘冰区及其紧邻的海洋中投放了79个开放式气象浮标(OMB)。开放式气象浮标价格低廉,足以大量部署,并收集有关漂移(全球导航卫星系统位置)和海浪(一维海拔谱)的信息。这提供了具有前所未有的空间和时间分辨率、聚焦于斯瓦尔巴群岛周围区域的数据。我们预计这将有助于对冰模型和遥感算法进行验证和校准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/6d483de7a4a0/41597_2024_4281_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/08742bc2c9a9/41597_2024_4281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/ee8c257f4ad4/41597_2024_4281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/e66452640a42/41597_2024_4281_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/6d483de7a4a0/41597_2024_4281_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/08742bc2c9a9/41597_2024_4281_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/ee8c257f4ad4/41597_2024_4281_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/e66452640a42/41597_2024_4281_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e93b/11663220/6d483de7a4a0/41597_2024_4281_Fig4_HTML.jpg

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本文引用的文献

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Future sea ice weakening amplifies wind-driven trends in surface stress and Arctic Ocean spin-up.未来海冰消融加剧了风驱动的表面应力趋势和北冰洋的加速旋转。
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