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在MOSAiC考察期间,通过遥控潜水器对海冰下环境进行的观测。

Under-ice environment observations from a remotely operated vehicle during the MOSAiC expedition.

作者信息

Anhaus Philipp, Katlein Christian, Arndt Stefanie, Krampe Daniela, Lange Benjamin A, Matero Ilkka, Salganik Evgenii, Nicolaus Marcel

机构信息

Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany.

German Aerospace Center (DLR e. V.), Institute for the Protection of Maritime Infrastructures, Bremerhaven, Germany.

出版信息

Sci Data. 2025 Jun 5;12(1):944. doi: 10.1038/s41597-025-05223-1.

DOI:10.1038/s41597-025-05223-1
PMID:40473653
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12141493/
Abstract

Changes in the Arctic sea-ice cover affect the planet's energy budget, atmospheric and oceanic circulation patterns as well as the ecosystem associated with this unique habitat. Interdisciplinary observations at the interfaces between sea ice and ocean are crucial to better understand the driving processes and bio-physical linkages in this coupled system. During the MOSAiC expedition 2019/2020 to the Arctic Ocean, we used a remotely operated vehicle (ROV) underneath drifting sea ice throughout an entire year. The main objective was to measure physical, chemical, and biological parameters across different surface and sea-ice types while the dive missions were optimized to retrieve optical properties and sea-ice bottom topography. All parameters were measured synchronously, enabling the quantification of their relationships and spatial and temporal variability. In addition, visual documentation of the under-ice environment and the permanently on-ice deployed instrumentation was performed. Overall, we completed more than 80 surveys covering all seasons and various sea-ice and surface conditions. Here, we present all available data, allowing for a year-round comprehensive picture of the under-ice environment.

摘要

北极海冰覆盖的变化会影响地球的能量平衡、大气和海洋环流模式以及与这一独特栖息地相关的生态系统。对海冰与海洋界面进行跨学科观测对于更好地理解这个耦合系统中的驱动过程和生物物理联系至关重要。在2019/2020年北冰洋的MOSAiC考察期间,我们一整年都在漂移海冰下方使用遥控潜水器(ROV)。主要目标是测量不同表面和海冰类型的物理、化学和生物参数,同时优化潜水任务以获取光学特性和海冰底部地形。所有参数均同步测量,从而能够量化它们之间的关系以及时空变异性。此外,还对冰下环境和永久部署在冰上的仪器进行了视觉记录。总体而言,我们完成了80多次涵盖所有季节以及各种海冰和表面状况的调查。在此,我们展示所有可用数据,以便全面呈现全年的冰下环境情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/90f4b0dc0020/41597_2025_5223_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/49cb2aaf5f32/41597_2025_5223_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/362e06b3a877/41597_2025_5223_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/43326a5bb19b/41597_2025_5223_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/418968564f36/41597_2025_5223_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/c3eddf00becd/41597_2025_5223_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/ebe3503d193e/41597_2025_5223_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/bcd2bf2915c9/41597_2025_5223_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/b8887ab6a4b7/41597_2025_5223_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/b36602f49e79/41597_2025_5223_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/1a715bb72be2/41597_2025_5223_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/2011143db853/41597_2025_5223_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/90f4b0dc0020/41597_2025_5223_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/49cb2aaf5f32/41597_2025_5223_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/362e06b3a877/41597_2025_5223_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/43326a5bb19b/41597_2025_5223_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/418968564f36/41597_2025_5223_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/c3eddf00becd/41597_2025_5223_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/ebe3503d193e/41597_2025_5223_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/bcd2bf2915c9/41597_2025_5223_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/b8887ab6a4b7/41597_2025_5223_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/b36602f49e79/41597_2025_5223_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/1a715bb72be2/41597_2025_5223_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/2011143db853/41597_2025_5223_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4464/12141493/90f4b0dc0020/41597_2025_5223_Fig12_HTML.jpg

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本文引用的文献

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Opt Express. 2024 Nov 4;32(23):41314-41334. doi: 10.1364/OE.537062.
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Essential omega-3 fatty acids are depleted in sea ice and pelagic algae of the Central Arctic Ocean.北冰洋中部的海冰和浮游藻类中,必需的ω-3脂肪酸含量减少。
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利用地面激光扫描获取的北冰洋漂流浮冰块的高分辨率重复地形。
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Digital elevation models of the sea-ice surface from airborne laser scanning during MOSAiC.在 MOSAiC 期间,从机载激光扫描获得的海冰表面数字高程模型。
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Helicopter-borne RGB orthomosaics and photogrammetric digital elevation models from the MOSAiC Expedition.MOSAiC 考察中直升机搭载的 RGB 正射镶嵌图和摄影测量数字高程模型。
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Estimation of phytoplankton taxonomic groups in the Arctic Ocean using phytoplankton absorption properties: implication for ocean-color remote sensing.利用浮游植物吸收特性估算北冰洋浮游植物分类群:对海洋颜色遥感的启示
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J Geophys Res Oceans. 2015 Sep;120(9):5932-5944. doi: 10.1002/2015JC010914. Epub 2015 Sep 4.
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