马赛克中央天文台一年的海冰和雪的特征

IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
P. Itkin, S. Hendricks, M. Webster, Luisa von Albedyll, Stefanie Arndt, D. Divine, Matthias Jaggi, M. Oggier, Ian A. Raphael, R. Ricker, J. Rohde, M. Schneebeli, G. Liston
{"title":"马赛克中央天文台一年的海冰和雪的特征","authors":"P. Itkin, S. Hendricks, M. Webster, Luisa von Albedyll, Stefanie Arndt, D. Divine, Matthias Jaggi, M. Oggier, Ian A. Raphael, R. Ricker, J. Rohde, M. Schneebeli, G. Liston","doi":"10.1525/elementa.2022.00048","DOIUrl":null,"url":null,"abstract":"Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.","PeriodicalId":54279,"journal":{"name":"Elementa-Science of the Anthropocene","volume":"1 1","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory\",\"authors\":\"P. Itkin, S. Hendricks, M. Webster, Luisa von Albedyll, Stefanie Arndt, D. Divine, Matthias Jaggi, M. Oggier, Ian A. Raphael, R. Ricker, J. Rohde, M. Schneebeli, G. Liston\",\"doi\":\"10.1525/elementa.2022.00048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.\",\"PeriodicalId\":54279,\"journal\":{\"name\":\"Elementa-Science of the Anthropocene\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Elementa-Science of the Anthropocene\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1525/elementa.2022.00048\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elementa-Science of the Anthropocene","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1525/elementa.2022.00048","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 7

摘要

重复的样带已经成为空间分布的冰和雪厚度测量的主干,对理解冰的质量平衡至关重要。在这里,我们详细介绍了2019-2020年北极气候研究多学科漂流观测站(MOSAiC)的样条,这是第一次在整个季节收集此类测量数据。与相似的历史样带相比,MOSAiC的积雪较薄(平均深度约为0.1-0.3 m),而海冰相对较厚,第一年冰(FYI)和第二年冰(SYI)。SYI有两种不同的类型:由广泛融化池覆盖的表面形成的相对较薄的水平冰和相对较厚的变形冰。在SYI水平,1月份仍可探测到再冻融池的空间特征。冬初最薄的冰也有最薄的雪,冬季薄冰的生长率(FYI为0.33 m月−1,SYI为0.24 m月−1)超过厚冰(0.2 m月−1)。到1月,FYI的模态冰厚(1.1 m)已经大于之前的SYI (0.9 m)。到2月,SYI和FYI的模态冰厚在1.4 m左右变得无法区分。5月份测得最大模态厚度为1.7 m。断面包括变形的冰,那里的积雪量在4月份最大。水平冰上剩余积雪表现出典型的空间异质性,表现为沙丘形态。根据不同的采样方向,雪和海冰的空间相关长度尺度在20 ~ 40 m或60 ~ 90 m之间,这表明已知的雪沙丘各向异性也表现在海冰厚度的空间格局上。从MOSAiC样带获得的各种冰雪厚度数据为模型和遥感产品开发提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory
Repeated transects have become the backbone of spatially distributed ice and snow thickness measurements crucial for understanding of ice mass balance. Here we detail the transects at the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) 2019–2020, which represent the first such measurements collected across an entire season. Compared with similar historical transects, the snow at MOSAiC was thin (mean depths of approximately 0.1–0.3 m), while the sea ice was relatively thick first-year ice (FYI) and second-year ice (SYI). SYI was of two distinct types: relatively thin level ice formed from surfaces with extensive melt pond cover, and relatively thick deformed ice. On level SYI, spatial signatures of refrozen melt ponds remained detectable in January. At the beginning of winter the thinnest ice also had the thinnest snow, with winter growth rates of thin ice (0.33 m month−1 for FYI, 0.24 m month−1 for previously ponded SYI) exceeding that of thick ice (0.2 m month−1). By January, FYI already had a greater modal ice thickness (1.1 m) than previously ponded SYI (0.9 m). By February, modal thickness of all SYI and FYI became indistinguishable at about 1.4 m. The largest modal thicknesses were measured in May at 1.7 m. Transects included deformed ice, where largest volumes of snow accumulated by April. The remaining snow on level ice exhibited typical spatial heterogeneity in the form of snow dunes. Spatial correlation length scales for snow and sea ice ranged from 20 to 40 m or 60 to 90 m, depending on the sampling direction, which suggests that the known anisotropy of snow dunes also manifests in spatial patterns in sea ice thickness. The diverse snow and ice thickness data obtained from the MOSAiC transects represent an invaluable resource for model and remote sensing product development.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Elementa-Science of the Anthropocene
Elementa-Science of the Anthropocene Earth and Planetary Sciences-Atmospheric Science
CiteScore
6.90
自引率
5.10%
发文量
65
审稿时长
16 weeks
期刊介绍: A new open-access scientific journal, Elementa: Science of the Anthropocene publishes original research reporting on new knowledge of the Earth’s physical, chemical, and biological systems; interactions between human and natural systems; and steps that can be taken to mitigate and adapt to global change. Elementa reports on fundamental advancements in research organized initially into six knowledge domains, embracing the concept that basic knowledge can foster sustainable solutions for society. Elementa is published on an open-access, public-good basis—available freely and immediately to the world.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信