重建AMSR-E/2薄冰厚度算法,建立南极海岸冰融区海冰生成的长期时间序列

IF 1.5 4区 地球科学 Q3 ECOLOGY Polar Science Pub Date : 2024-03-01 DOI:10.1016/j.polar.2023.100978
Sohey Nihashi , Kay I. Ohshima , Takeshi Tamura
{"title":"重建AMSR-E/2薄冰厚度算法,建立南极海岸冰融区海冰生成的长期时间序列","authors":"Sohey Nihashi ,&nbsp;Kay I. Ohshima ,&nbsp;Takeshi Tamura","doi":"10.1016/j.polar.2023.100978","DOIUrl":null,"url":null,"abstract":"<div><p>This study presented an extended time series of ice production in Antarctic coastal polynyas for 20 years of 2002–21 using high spatial resolution satellite data from passive microwave sensors: the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2). For this, we reconstructed the previously presented thin ice thickness algorithms and re-estimated ice production by replacing atmospheric input data for the heat flux calculations with the newly released ECMWF Reanalysis v5 (ERA5). The consistency of ice production between AMSR-E and AMSR2, whose operation periods do not overlap, was confirmed from comparisons with ice production by the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS) with relatively coarse spatial resolution. The open ocean area, which cannot be detected from the thin ice thickness algorithm, was defined using sea-ice concentration (SIC) from AMSR-E and AMSR2. The satellite derived SIC has been suggested to be underestimated in the new thin ice (polynya) area. The effect of the underestimation on the ice production estimation was evaluated. The underestimation of SIC from three major algorithms was also investigated from comparisons with the thin ice thickness presented in this study. The coastal polynya dataset covering 20 years with the higher spatial resolution presented in this study is vital for climate-change-related studies.</p></div>","PeriodicalId":20316,"journal":{"name":"Polar Science","volume":"39 ","pages":"Article 100978"},"PeriodicalIF":1.5000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1873965223000762/pdfft?md5=8c0ddd9a59863f7e45824e8733125115&pid=1-s2.0-S1873965223000762-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Reconstruct the AMSR-E/2 thin ice thickness algorithm to create a long-term time series of sea-ice production in Antarctic coastal polynyas\",\"authors\":\"Sohey Nihashi ,&nbsp;Kay I. Ohshima ,&nbsp;Takeshi Tamura\",\"doi\":\"10.1016/j.polar.2023.100978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study presented an extended time series of ice production in Antarctic coastal polynyas for 20 years of 2002–21 using high spatial resolution satellite data from passive microwave sensors: the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2). For this, we reconstructed the previously presented thin ice thickness algorithms and re-estimated ice production by replacing atmospheric input data for the heat flux calculations with the newly released ECMWF Reanalysis v5 (ERA5). The consistency of ice production between AMSR-E and AMSR2, whose operation periods do not overlap, was confirmed from comparisons with ice production by the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS) with relatively coarse spatial resolution. The open ocean area, which cannot be detected from the thin ice thickness algorithm, was defined using sea-ice concentration (SIC) from AMSR-E and AMSR2. The satellite derived SIC has been suggested to be underestimated in the new thin ice (polynya) area. The effect of the underestimation on the ice production estimation was evaluated. The underestimation of SIC from three major algorithms was also investigated from comparisons with the thin ice thickness presented in this study. The coastal polynya dataset covering 20 years with the higher spatial resolution presented in this study is vital for climate-change-related studies.</p></div>\",\"PeriodicalId\":20316,\"journal\":{\"name\":\"Polar Science\",\"volume\":\"39 \",\"pages\":\"Article 100978\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1873965223000762/pdfft?md5=8c0ddd9a59863f7e45824e8733125115&pid=1-s2.0-S1873965223000762-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Polar Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1873965223000762\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Polar Science","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1873965223000762","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

本研究利用被动微波传感器(高级微波扫描辐射计 EOS(AMSR-E)和高级微波扫描辐射计 2(AMSR2))提供的高空间分辨率卫星数据,对 2002-21 年 20 年间南极沿岸多冰带的产冰量进行了时间序列扩展。为此,我们重建了之前提出的薄冰厚度算法,并用新发布的 ECMWF Reanalysis v5(ERA5)替换了热通量计算的大气输入数据,重新估计了冰的产量。AMSR-E 和 AMSR2 的运行期并不重叠,通过与空间分辨率相对较低的特殊传感器微波/成像仪 (SSM/I)和特殊传感器微波成像仪探测仪(SSMIS)的产冰量进行比较,确认了 AMSR-E 和 AMSR2 产冰量的一致性。利用 AMSR-E 和 AMSR2 的海冰浓度(SIC)确定了薄冰厚度算法无法探测到的公海区域。卫星得出的海冰浓度被认为低估了新的薄冰(多冰带)区域。评估了低估对冰产量估计的影响。通过与本研究提出的薄冰厚度进行比较,还调查了三种主要算法对 SIC 的低估情况。本研究提出的具有较高空间分辨率、覆盖 20 年的沿岸多冰带数据集对气候变化相关研究至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Reconstruct the AMSR-E/2 thin ice thickness algorithm to create a long-term time series of sea-ice production in Antarctic coastal polynyas

This study presented an extended time series of ice production in Antarctic coastal polynyas for 20 years of 2002–21 using high spatial resolution satellite data from passive microwave sensors: the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and the Advanced Microwave Scanning Radiometer 2 (AMSR2). For this, we reconstructed the previously presented thin ice thickness algorithms and re-estimated ice production by replacing atmospheric input data for the heat flux calculations with the newly released ECMWF Reanalysis v5 (ERA5). The consistency of ice production between AMSR-E and AMSR2, whose operation periods do not overlap, was confirmed from comparisons with ice production by the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS) with relatively coarse spatial resolution. The open ocean area, which cannot be detected from the thin ice thickness algorithm, was defined using sea-ice concentration (SIC) from AMSR-E and AMSR2. The satellite derived SIC has been suggested to be underestimated in the new thin ice (polynya) area. The effect of the underestimation on the ice production estimation was evaluated. The underestimation of SIC from three major algorithms was also investigated from comparisons with the thin ice thickness presented in this study. The coastal polynya dataset covering 20 years with the higher spatial resolution presented in this study is vital for climate-change-related studies.

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
Polar Science
Polar Science ECOLOGY-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
3.90
自引率
5.60%
发文量
46
期刊介绍: Polar Science is an international, peer-reviewed quarterly journal. It is dedicated to publishing original research articles for sciences relating to the polar regions of the Earth and other planets. Polar Science aims to cover 15 disciplines which are listed below; they cover most aspects of physical sciences, geosciences and life sciences, together with engineering and social sciences. Articles should attract the interest of broad polar science communities, and not be limited to the interests of those who work under specific research subjects. Polar Science also has an Open Archive whereby published articles are made freely available from ScienceDirect after an embargo period of 24 months from the date of publication. - Space and upper atmosphere physics - Atmospheric science/climatology - Glaciology - Oceanography/sea ice studies - Geology/petrology - Solid earth geophysics/seismology - Marine Earth science - Geomorphology/Cenozoic-Quaternary geology - Meteoritics - Terrestrial biology - Marine biology - Animal ecology - Environment - Polar Engineering - Humanities and social sciences.
期刊最新文献
Community perspectives inform coastal marine ecosystem research in northwestern Greenland Editorial Board Characterization and discrimination of tundra plant leaves by Attenuated Total Reflection Fourier transform infrared spectroscopy Cold winds in the north: Three perspectives on the impact of Russia's war in Ukraine on security and international relations in the Arctic Russia lacks the financial resources to improve living standards in the Arctic: A case of the Sakha Republic
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1