Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path
Comparison of Passive Microwave Data with Shipborne Photographic Observations of Summer Sea Ice Concentration along an Arctic Cruise Path
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被动微波数据与北极巡航路径夏季海冰浓度船载摄影观测的比较
DOI：
10.3390/rs11172009
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发表时间：
2019-08
期刊：
影响因子：
5
通讯作者：
Guiyong Zhang
中科院分区：
文献类型：
--
作者：
Qingkai Wang;Peng Lu;Yongheng Zu;Zhijun Li;Matti Leppäranta;Guiyong Zhang
北极海冰密集度（SIC）已被广泛使用被动微波（PM）遥感研究。该技术可用于改善沿着船舶巡航路径的导航;然而，对该主题的研究有限。在2016年夏季中国国家北极科学考察期间，使用面向海洋的相机进行了海冰船载摄影观测（P-OBS）。在此基础上，计算了巡航路径沿着的SIC以及开阔水域、融化池和海冰的面积分数（A（w）、A（p）和A（i）），发现SIC沿着巡航路径呈U型分布，开阔水域在整个巡航路径上所占比例较大，并将常用PM算法计算的SIC与移动平均（MA）P-OBS SIC进行了比较，结果表明，PM算法计算的SIC与MA P-OBS SIC相比，具有更高的精度和更好的稳定性。包括基于特殊传感器微波成像仪/探测器（SSMIS）数据的Bootstrap和NASA Team（NT）算法;以及基于高级微波扫描辐射计2（AMSR 2）数据的ARTIST海冰、Bootstrap、海冰气候变化倡议和NASA Team 2（NT 2）算法。P-OBS在检测低SIC（< 10%）方面优于PM遥感。我们的研究结果表明，PM SIC高估MA P-OBS SIC在低SIC，但低估它时SIC超过周转点（TP）。融化池的存在影响了PM SIC的准确性; PM SIC随着A（p）的增加而从高估变为低估，与TP以下的MA P-OBS SIC相比，而TP以上的低估增加。然后对PM算法进行排名; SSMIS-NT和AMSR 2-NT 2分别是北极导航的最佳和最差选择。
Arctic sea ice concentration (SIC) has been studied extensively using passive microwave (PM) remote sensing. This technology could be used to improve navigation along vessel cruise paths; however, investigations on this topic have been limited. In this study, shipborne photographic observation (P-OBS) of sea ice was conducted using oblique-oriented cameras during the Chinese National Arctic Research Expedition in the summer of 2016. SIC and the areal fractions of open water, melt ponds, and sea ice (A(w), A(p), and A(i), respectively) were determined along the cruise path. The distribution of SIC along the cruise path was U-shaped, and open water accounted for a large proportion of the path. The SIC derived from the commonly used PM algorithms was compared with the moving average (MA) P-OBS SIC, including Bootstrap and NASA Team (NT) algorithms based on Special Sensor Microwave Imager/Sounder (SSMIS) data; and ARTIST sea ice, Bootstrap, Sea Ice Climate Change Initiative, and NASA Team 2 (NT2) algorithms based on Advanced Microwave Scanning Radiometer 2 (AMSR2) data. P-OBS performed better than PM remote sensing at detecting low SIC (< 10%). Our results indicate that PM SIC overestimates MA P-OBS SIC at low SIC, but underestimates it when SIC exceeds a turnover point (TP). The presence of melt ponds affected the accuracy of the PM SIC; the PM SIC shifted from an overestimate to an underestimate with increasing A(p), compared with MA P-OBS SIC below the TP, while the underestimation increased above the TP. The PM algorithms were then ranked; SSMIS-NT and AMSR2-NT2 are the best and worst choices for Arctic navigation, respectively.
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DOI：
10.5194/tc-10-2217-2016
发表时间：
2016-09
期刊：
The Cryosphere
影响因子：
--
作者：
通讯作者：
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影响因子：
1.4
作者：
R. Lei;Zhijun Li;Na Li;P. Lu;B. Cheng
通讯作者：
R. Lei;Zhijun Li;Na Li;P. Lu;B. Cheng
影响因子：
13.5
作者：
Worby, AP;Comiso, JC
通讯作者：
Comiso, JC
影响因子：
5.2
作者：
A. Renner;S. Gerland;C. Haas;G. Spreen;J. Beckers;E. Hansen;M. Nicolaus;Harvey Goodwin
通讯作者：
A. Renner;S. Gerland;C. Haas;G. Spreen;J. Beckers;E. Hansen;M. Nicolaus;Harvey Goodwin
影响因子：
--
作者：
A. Worby;C. Geiger;M. Paget;M. V. Woert;S. Ackley;T. Deliberty
通讯作者：
A. Worby;C. Geiger;M. Paget;M. V. Woert;S. Ackley;T. Deliberty