利用FY-3B MWRI遥感数据反演南极海冰表面积雪厚度

闫忠男; 庞小平; 季青; 肖泽辉

doi:10.11834/jrs.20221508

中国卫星海洋遥感研究进展 | 浏览量 : 0 下载量: 1304 CSCD: 0

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利用FY-3B MWRI遥感数据反演南极海冰表面积雪厚度
Retrieval of snow depth on the Antarctic Sea Ice from the FY-3B MWRI satellite data
2023年27卷第4期页码：986-997
收稿：2021-07-28，

纸质出版：2023-04-07
DOI： 10.11834/jrs.20221508
稿件说明：

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闫忠男，庞小平，季青，肖泽辉.2023.利用FY-3B MWRI遥感数据反演南极海冰表面积雪厚度.遥感学报，27（4）： 986-997 DOI： 10.11834/jrs.20221508.

Yan Z N，Pang X P，Ji Q and Xiao Z H. 2023. Retrieval of snow depth on the Antarctic Sea Ice from the FY-3B MWRI satellite data. National Remote Sensing Bulletin， 27（4）：986-997 DOI： 10.11834/jrs.20221508.

摘要

海冰表面积雪厚度是冰冻圈和全球气候系统的重要组成部分，在海洋、海冰和大气的能量传输中起着关键的作用。针对目前缺乏南极海冰表面积雪厚度国产卫星遥感数据产品的问题，本文探索应用FY-3B MWRI被动微波亮温数据开展南极海冰表面积雪厚度的遥感反演研究。结果表明基于2016年FY-3B MWRI 18.7 GHz、36.5 GHz垂直极化亮温及海冰密集度数据，采用Comiso03模型反演的积雪厚度结果较Markus98更好，与AWI 2016年部署在威德尔海的浮标（2016S31、2016S37、2016S40）观测的积雪厚度同日同像元对比的偏差为-1.72 cm。FY-3B MWRI反演的2016年南极海冰表面积雪厚度与美国雪冰数据中心发布的GCOM-W1 AMSR-2积雪厚度产品整体上具有较好的一致性（时空平均偏差为-0.11 cm、相关系数为0.90），积累期和稳定期（4—10月）两者差异较小（时空平均偏差为-0.81 cm，相关系数为0.93），消融期（11月—次年3月）差异较大（时空平均偏差为2.76 cm，相关系数为0.85），差异主要分布在威德尔海北部和东南极冰边缘区。开展FY-3B MWRI南极海冰表面积雪厚度遥感反演研究可为应用国产卫星数据开展业务化极地冰雪环境动态监测、评估南极海冰变化及其全球效应提供科学数据和技术支撑。

Abstract

Snow depth on sea ice is an important part of the cryosphere and global climate system because it is essential in the energy transfer of the ocean

sea ice

and atmosphere. Monitoring and understanding the change of snow depth on the Antarctic sea ice is beneficial to sea ice research and global climate change. Given the lack of Chinese satellite data products for snow depth on the Antarctic sea ice

we explored the application of FY-3B MWRI passive microwave brightness temperature data to retrieve the snow depth on the Antarctic sea ice.

We used FY-3B MWRI 18.7 GHz

36.5 GHz vertical polarization brightness temperature

and sea ice concentration data to retrieve the snow depth on the Antarctic sea ice by using Comiso03 model. The accuracy of snow depth on the Antarctic sea ice based on Markus98 and Comiso03 models was evaluated and compared with GCOM-W1 AMSR-2 snow depth product. The influence of brightness temperature on the retrieval of snow depth on Antarctic sea ice from FY-3B MWRI was discussed.

Snow depth on the Antarctic sea ice retrieved by using Comiso03 model than Markus98 model is better based on FY-3B MWRI 18.7 GHz

36.5 GHz vertical polarization brightness temperature

and sea ice concentration data in 2016

and the average deviation against with ice mass balance buoy measurements (2016S31

2016S37

and 2016S40) in the Weddell Sea in 2016 is -1.72 cm. The snow depth retrieved on the Antarctic sea ice in 2016 form FY-3B MWRI

which is consistent with that of GCOM-W1 AMSR-2 released data product by NSIDC (the average deviation is -0.11 cm

and the correlation coefficient is 0.90). The difference between the FY-3B-derived and the NSIDC-released AMSR-2 snow depths is small (the spatial-temporal average deviation is -0.80 cm

and the correlation coefficient is 0.93) in the snow accumulation and stable period (from April to October)

and relative large (the spatial–temporal average deviation is 2.76 cm

and the correlation coefficient is 0.85) in the snow melting period (from November to March). These differences mainly distributed in the northern Weddell Sea and margin ice zones.

Snow depth on the Antarctic sea ice retrieved by Comiso03 model based on FY-3B MWRI satellite data is in good agreement with the GCOM-W1 AMSR-2 snow depth product released by NSIDC. The study on the retrieval of snow depth on the Antarctic sea ice using FY-3B MWRI satellite data can provide scientific data and technical support for monitoring polar ice and snow environment and evaluation of Antarctic sea ice change with its global effects.

关键词

Keywords

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