Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data

IF 1.4 3区地球科学 Q3 OCEANOGRAPHY Acta Oceanologica Sinica Pub Date : 2024-03-06 DOI:10.1007/s13131-023-2179-5

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Abstract

The snow depth on sea ice is an extremely critical part of the cryosphere. Monitoring and understanding changes of snow depth on Antarctic sea ice is beneficial for research on sea ice and global climate change. The Microwave Radiation Imager (MWRI) sensor aboard the Chinese FengYun-3D (FY-3D) satellite has great potential for obtaining information of the spatial and temporal distribution of snow depth on the sea ice. By comparing in-situ snow depth measurements during the 35th Chinese Antarctic Research Expedition (CHINARE-35), we took advantage of the combination of multiple gradient ratio (GR (36V, 10V) and GR (36V, 18V)) derived from the measured brightness temperature of FY-3D MWRI to estimate the snow depth. This method could simultaneously introduce the advantages of high and low GR in the snow depth retrieval model and perform well in both deep and shallow snow layers. Based on this, we constructed a novel model to retrieve the FY-3D MWRI snow depth on Antarctic sea ice. The new model validated by the ship-based observational snow depth data from CHINARE-35 and the snow depth measured by snow buoys from the Alfred Wegener Institute (AWI) suggest that the model proposed in this study performs better than traditional models, with root mean square deviations (RMSDs) of 8.59 cm and 7.71 cm, respectively. A comparison with the snow depth measured from Operation IceBridge (OIB) project indicates that FY-3D MWRI snow depth was more accurate than the released snow depth product from the U.S. National Snow and Ice Data Center (NSIDC) and the National Tibetan Plateau Data Center (NTPDC). The spatial distribution of the snow depth from FY-3D MWRI agrees basically with that from ICESat-2; this demonstrates its reliability for estimating Antarctic snow depth, and thus has great potential for understanding snow depth variations on Antarctic sea ice in the context of global climate change.

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从 FY-3D MWRI 数据中检索南极海冰的积雪深度

摘要海冰上的积雪深度是冰冻圈中极为关键的部分。监测和了解南极海冰雪深的变化有利于海冰和全球气候变化的研究。中国 "风云三号 "卫星搭载的微波辐射成像仪（MWRI）传感器在获取海冰雪深时空分布信息方面具有巨大潜力。通过对比第35次中国南极科学考察（CHINARE-35）期间的原位雪深测量结果，我们利用风云三号DWRI测量的亮度温度得出的多重梯度比（GR（36V，10V）和GR（36V，18V））组合来估算雪深。这种方法可以同时将高GR和低GR的优势引入雪深检索模型，在深雪层和浅雪层都有良好的表现。在此基础上，我们构建了一种新型模型来获取南极海冰的 FY-3D MWRI 雪深。新模型经 CHINARE-35 船载雪深观测数据和阿尔弗雷德-韦格纳研究所（AWI）雪浮标测量的雪深数据验证，表明本研究提出的模型比传统模型性能更好，均方根偏差（RMSD）分别为 8.59 厘米和 7.71 厘米。与 "冰桥行动"（OIB）项目测得的雪深比较表明，FY-3D MWRI 雪深比美国国家冰雪数据中心（NSIDC）和国家青藏高原数据中心（NTPDC）发布的雪深产品更准确。FY-3D MWRI的雪深空间分布与ICESat-2的雪深空间分布基本一致；这表明其在估算南极雪深方面的可靠性，因此在了解全球气候变化背景下南极海冰的雪深变化方面具有巨大潜力。

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来源期刊

Acta Oceanologica Sinica 地学-海洋学

CiteScore

2.50

自引率

7.10%

发文量

3884

审稿时长

9 months

期刊介绍： Founded in 1982, Acta Oceanologica Sinica is the official bi-monthly journal of the Chinese Society of Oceanography. It seeks to provide a forum for research papers in the field of oceanography from all over the world. In working to advance scholarly communication it has made the fast publication of high-quality research papers within this field its primary goal. The journal encourages submissions from all branches of oceanography, including marine physics, marine chemistry, marine geology, marine biology, marine hydrology, marine meteorology, ocean engineering, marine remote sensing and marine environment sciences. It publishes original research papers, review articles as well as research notes covering the whole spectrum of oceanography. Special issues emanating from related conferences and meetings are also considered. All papers are subject to peer review and are published online at SpringerLink.