Comparisons of passive microwave remote sensing sea ice concentrations with ship-based visual observations during the CHINARE Arctic summer cruises of 2010-2018
Comparisons of passive microwave remote sensing sea ice concentrations with ship-based visual observations during the CHINARE Arctic summer cruises of 2010-2018
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2010-2018年CHINARE北极夏季航次被动微波遥感海冰浓度与船基目视观测对比
DOI：
10.1007/s13131-020-1646-5
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发表时间：
2020
影响因子：
1.4
通讯作者：
Lepparanta Matti
中科院分区：
文献类型：
--
作者：
Xiu Yuanren;Li Zhijun;Lei Ruibo;Wang Qingkai;Lu Peng;Lepparanta Matti
为了更有效地将卫星数据应用于北极导航，利用2010年、2012年、2014年和2016年北极夏季的3 667个观测数据，将被动微波（PM）产品反演的海冰浓度（SIC）与中国国家北极科学考察队船基目视观测数据（OBS）进行了对比分析。和2018.PM SIC来自NASA团队（NT），Bootstrap（BT）和基于SSMIS传感器的气候数据记录（CDR）算法，以及BT，基于AMSR-E/AMSR-2传感器的增强型NASA-Team（NT 2）和ARTIST海冰（ASI）算法，采用PM SIC值的日算术平均值和OBS SIC值的日加权平均值进行比较，并对相关系数（CC）、偏置和均方根偏差（RMSD）的总体趋势以及在轻度/正常/严重冰情条件下进行了比较。通过计算浮冰大小和冰厚的日加权平均值，分析了浮冰大小和冰厚对不同PM产品SIC反演结果的影响，结果表明，CC值在0.89（AMSR-E/AMSR-2 NT 2）至0.95（SSMIS NT），偏倚范围为-3.96%（SSMIS NT）至12.05%（AMSR-E/AMSR-2 NT 2），RMSD值范围为10.81%（SSMIS NT）至20.15%（AMSR-E/AMSR-2 NT 2）.絮体尺寸对PM产品的SIC反演有显著影响，冰厚大于30 cm的冰对PM产品的SIC反演没有显著影响。总体而言，在北极夏季，OBS SIC和SSMIS NT（AMSR-E/AMSR-2 NT 2）SIC之间的一致性最好（最差）。
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.