基于 CryoSat-2 的北极大西洋冬季受波浪影响的边缘冰区 12 年气候记录

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-06-21 DOI:10.5194/essd-16-2917-2024
Weixin Zhu, Siqi Liu, Shiming Xu, Lu Zhou
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引用次数: 0

摘要

摘要。受波浪影响的边缘冰区(MIZ)是海冰覆盖的重要组成部分,对极地地区大气-冰-海洋的相互作用至关重要。虽然我们主要依靠现场活动来研究边缘冰区,但卫星遥感边缘冰区也面临巨大挑战。本研究基于 CryoSat-2 (CS2)上的延迟多普勒雷达测高仪,开发了一种新型的受波浪影响的 MIZ 检索算法。CS2 波形功率和波形堆统计用于确定受海浪影响的海冰覆盖部分。根据自 2010 年以来的 CS2 数据,我们生成了大西洋北极地区受波浪影响的 MIZ 气候记录,时间跨度为 2010 年至 2022 年的 12 个冬季(https://doi.org/10.5281/zenodo.8176585,Zhu 等人,2023 年)。该记录表明,尽管存在较大的时空变异性,但平均 MIZ 宽度或极端宽度没有明显变化。特别是在巴伦支海观测到了极宽的 MIZ 事件(超过 300 公里),而在北极大西洋的其他地区,MIZ 事件通常较窄。我们还将基于 CS2 的检索与基于 ICESat2 激光测高仪和哨兵-1 合成孔径雷达图像的检索进行了比较。在空间和时间搭配的情况下,基于三种不同类型卫星有效载荷的 MIZ 检索结果具有良好的一致性。此外,传统的基于海冰浓度的 MIZ 定义得到的 MIZ 系统性地比 CS2 更窄,两者之间不存在统计意义上的显著相关性。除了应用于 CS2 外,所提出的检索算法还可适用于过去和未来的雷达测高活动。多颗卫星的协同作用可以改进测高仪对 MIZ 观测的空间和时间表示。
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A 12-year climate record of wintertime wave-affected marginal ice zones in the Atlantic Arctic based on CryoSat-2
Abstract. The wave-affected marginal ice zone (MIZ) is an essential part of the sea ice cover and crucial to the atmosphere–ice–ocean interaction in the polar region. While we primarily rely on in situ campaigns for studying MIZs, significant challenges exist for the remote sensing of MIZs by satellites. This study develops a novel retrieval algorithm for wave-affected MIZs based on the delay-Doppler radar altimeter on board CryoSat-2 (CS2). CS2 waveform power and waveform stack statistics are used to determine the part of the sea ice cover affected by waves. Based on the CS2 data since 2010, we generate a climate record of wave-affected MIZs in the Atlantic Arctic, spanning 12 winters between 2010 and 2022 (https://doi.org/10.5281/zenodo.8176585, Zhu et al., 2023). The MIZ record indicates no significant change in the mean MIZ width or the extreme width, although large temporal and spatial variability is present. In particular, extremely wide MIZ events (over 300 km) are observed in the Barents Sea, whereas in other parts of the Atlantic Arctic, MIZ events are typically narrower. We also compare the CS2-based retrieval with the retrievals based on the laser altimeter of ICESat2 and the synthetic aperture radar images from Sentinel-1. Under spatial and temporal collocation, we attain good agreement among the MIZ retrievals based on the three different types of satellite payloads. Moreover, the traditional sea-ice-concentration-based definition of MIZ yields systematically narrower MIZs than CS2, and no statistically significant correlation exists between the two. Beyond its application to CS2, the proposed retrieval algorithm can be adapted to historical and future radar altimetry campaigns. The synergy of multiple satellites can improve the spatial and temporal representation of the altimeters' observation of the MIZs.
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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