| Xiu Yuanren,Li Zhijun,Lei Ruibo,Wang Qingkai,Lu Peng,Leppäranta Matti. 2020. Comparisons of passive microwave remote sensing sea ice concentrations with ship-based visual observations during the CHINARE Arctic summer cruises of 2010–2018. Acta Oceanologica Sinica, 39(9):38－49 |
| Comparisons of passive microwave remote sensing sea ice concentrations with ship-based visual observations during the CHINARE Arctic summer cruises of 2010–2018 |
| 2010-2018年北极夏季中国北极科学考察航行期间被动微波遥感海冰密集度与船基目视观测资料的比较 |
| Received:November 01, 2019 |
| DOI：10.1007/s13131-020-1646-5 |
| Key words:sea ice concentration passive microwave remote sensing ship-based visual observations Arctic navigation summer |
| 中文关键词: 海冰密集度 被动微波遥感 船基目视观测资料 北极航行 夏季 |
| 基金项目:The National Major Research High Resolution Sea Ice Model Development Program of China under contract No. 2018YFA0605903; the National Natural Science Foundation of China under contract Nos 51639003, 41876213 and 41906198; the High-tech Ship Research Project of China under contract No. 350631009; the National Postdoctoral Program for Innovative Talent of China under contract No. BX20190051. |
| Author Name | Affiliation | E-mail | | Xiu Yuanren | State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China | | | Li Zhijun | State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China | | | Lei Ruibo | MNR Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136, China | | | Wang Qingkai | State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China | | | Lu Peng | State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China | lupeng@dlut.edu.cn | | Leppäranta Matti | Institute of Atmospheric and Earth Sciences, University of Helsinki, Helsinki 00014, Finland | |
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| Abstract: |
| In order to apply satellite data to guiding navigation in the Arctic more effectively, the sea ice concentrations (SIC) derived from passive microwave (PM) products were compared with ship-based visual observations (OBS) collected during the Chinese National Arctic Research Expeditions (CHINARE). A total of 3 667 observations were collected in the Arctic summers of 2010, 2012, 2014, 2016, and 2018. PM SIC were derived from the NASA-Team (NT), Bootstrap (BT) and Climate Data Record (CDR) algorithms based on the SSMIS sensor, as well as the BT, enhanced NASA-Team (NT2) and ARTIST Sea Ice (ASI) algorithms based on AMSR-E/AMSR-2 sensors. The daily arithmetic average of PM SIC values and the daily weighted average of OBS SIC values were used for the comparisons. The correlation coefficients (CC), biases and root mean square deviations (RMSD) between PM SIC and OBS SIC were compared in terms of the overall trend, and under mild/normal/severe ice conditions. Using the OBS data, the influences of floe size and ice thickness on the SIC retrieval of different PM products were evaluated by calculating the daily weighted average of floe size code and ice thickness. Our results show that CC values range from 0.89 (AMSR-E/AMSR-2 NT2) to 0.95 (SSMIS NT), biases range from -3.96% (SSMIS NT) to 12.05% (AMSR-E/AMSR-2 NT2), and RMSD values range from 10.81% (SSMIS NT) to 20.15% (AMSR-E/AMSR-2 NT2). Floe size has a significant influence on the SIC retrievals of the PM products, and most of the PM products tend to underestimate SIC under smaller floe size conditions and overestimate SIC under larger floe size conditions. Ice thickness thicker than 30 cm does not have a significant influence on the SIC retrieval of PM products. Overall, the best (worst) agreement occurs between OBS SIC and SSMIS NT (AMSR-E/AMSR-2 NT2) SIC in the Arctic summer. |
| 中文摘要: |
| 为了更有效地将卫星数据应用于北极航行导航，被动微波（PM）产品的海冰密集度（SIC）与从中国北极科学考察中收集到的船基目视观测（OBS）资料进行了比较。在2010、2012、2014、2016和2018年的北极夏季总共收集了3667组目测数据。PM SIC取自基于SSMIS传感器的NASA-Team（NT）、Bootstrap（BT）以及Climate Data Record（CDR）算法和基于AMSR-E/AMSR-2传感器的BT、enhanced NT（NT2）以及ARTIST Sea Ice（ASI）算法。使用PM SIC的日算术平均值和OBS SIC的日加权平均值进行比较。比较了PM SIC和OBS SIC之间的相关系数，偏差和均方根偏差，包括总体趋势以及在轻度/普通/严重冰况下的情况。使用OBS数据，浮冰尺寸和冰厚对不同PM产品SIC反演的影响可以通过计算浮冰尺寸编码和冰厚的日加权平均值来评估。我们的结果显示相关系数的范围为0.89（AMSR-E/AMSR-2 NT2）到0.95（SSMIS NT），偏差的范围为-3.96%（SSMIS NT）到12.05%（AMSR-E/AMSR-2），均方根偏差的范围为10.81%（SSMIS NT）到20.15%（AMSR-E/AMSR-2 NT2）。浮冰尺寸对PM产品的SIC反演有显著的影响，大多数PM产品倾向于在小浮冰尺寸情况下低估SIC，而在大浮冰尺寸情况下高估SIC。超过30 cm的冰厚对于PM产品的SIC反演没有明显影响。总体来看，在北极夏季，SSMIS NT SIC与OBS SIC之间有着最好的一致性，而AMSR-E/AMSR-2 NT2 SIC与OBS SIC的一致性最差。 |
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