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HY-2卫星反演海冰密集度在北极地区的适用性评估
作者:赵杰臣1 2  李子轩3  李杰4  付敏2  石立坚1  张林2 
单位:1. 国家海洋局 空间海洋遥感与应用研究重点实验室, 北京 100081;
2. 国家海洋环境预报中心, 北京 100081;
3. 中国海洋大学海洋与大气学院, 山东 青岛 266100;
4. 国家海洋局 天津海洋环境监测中心站, 天津 300450
关键词:海洋二号卫星 海冰密集度 海冰范围 北极 数据同化 对比评估 
分类号:P731.15
出版年·卷·期(页码):2018·35·第六期(84-91)
摘要:
评估了我国自主研发的海洋二号卫星(HY-2)海冰密集度产品在北极地区的适用性。与8种国际同类产品相比,HY-2产品的分辨率为25 km,属于低分辨率产品。HY-2产品2012年夏季的空间分布特征和其他产品差别不大,但在低密集度冰区和边缘区域的差异可达0.15~0.25。HY-2产品可以反映2012年7-10月海冰面积先减小后增大的规律,但最小海冰范围的出现时间比其他产品偏早,且平均值偏小。利用北极海冰数值预报系统进行的同化试验显示,HY-2产品可以有效改善海冰密集度的模拟结果,将平均偏差从控制试验的0.18~0.24减小为同化试验的0.05~0.08,改善效果和国际认可和常用的AMSR2/ASI产品相当。
The HY-2 product released by National Satellite Ocean Application Service was assessed in this paper. The results showed that the resolution HY-2 is 25 km and belongs to low resolution series, compared to eight international datasets. The spatial distribution is similar between HY-2 and other datasets, but differences still exists in the low concentration and marginal area, up to 0.15~0.25. The HY-2 daily mean extent from July to October, 2012 captured the seasonal evolution, but suggested an earlier minimum time and much smaller values. The assimilation experiments performed by the Arctic sea ice numerical forecast system showed that sea ice concentration was significantly improved by nudging HY-2 to the forecast system, decreasing the bias from 0.18~0.24 to 0.05~0.08, comparable to the AMSR2/ASI results.
参考文献:
[1] Stocker T F, Qin D, Plattner G K, et al. Climate change 2013:the physical science basis. Working group I contribution to the fifth assessment report of the intergovernmental panel on climate change[M]. Cambridge:Cambridge University Press, 2013.
[2] Shu Q, Song Z, Qiao F. Assessment of sea ice simulations in the CMIP5 models[J]. The Cryosphere, 2015, 9(1):399-409.
[3] Cavalieri D J, Parkinson C L. Arctic sea ice variability and trends, 1979-2010[J]. The Cryosphere, 2012, 6(4):881-889.
[4] Stroeve J C, Serreze M C, Holland M M, et al. The Arctic's rapidly shrinking sea ice cover:a research synthesis[J]. Climatic Change, 2012, 110(3-4):1005-1027.
[5] Kwok R, Cunningham G F, Wensnahan M, et al. Thinning and volume loss of the Arctic Ocean sea ice cover:2003-2008[J]. Journal of Geophysical Research, 2009, 114(C7):C07005.
[6] Markus T, Stroeve J C, Miller J. Recent changes in Arctic sea ice melt onset, freezeup, and melt season length[J]. Journal of Geophysical Research, 2009, 114(C12):C12024.
[7] 赵杰臣, 杨清华, 李明, 等. Nudging资料同化对北极海冰密集度预报的改进[J]. 海洋学报, 2016, 38(5):70-82.
[8] 赵杰臣, 周翔, 孙晓宇, 等. 北极遥感海冰密集度数据的比较和评估[J]. 遥感学报, 2017, 21(3):351-364.
[9] Spreen G, Kaleschke L, Heygster G. Sea ice remote sensing using AMSR-E 89-GHz channels[J]. Journal of Geophysical Research, 2008, 113(C2):C02S03.
[10] Cavalieri D, Parkinson C, Gloersen P, et al. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I passive microwave data[R]. Boulder, Colorado, USA:National Snow and Ice Data Center, 1996.
[11] Comiso J C. Bootstrap sea ice concentrations from nimbus-7 SMMR and DMSP SSM/I-SSMIS, version 2[R]. Boulder, Colorado, USA:NASA National Snow and Ice Data Center Distributed Active Archive Center, 2000.
[12] Fetterer F, Stewart J S, Meier W. MASAM2:daily 4 Km arctic sea ice concentration, Version 1[R]. Boulder, Colorado, USA:National Snow and Ice Data Center, 2015, doi:10.7265/N5ZS2TFT.
[13] Shi L J, Lu P, Cheng B, et al. An assessment of arctic sea ice concentration retrieval based on "HY-2" scanning radiometer data using field observations during CHINARE-2012 and other satellite instruments[J]. Acta Oceanologica Sinica, 2015, 34(3):42-50, doi:10.1007/s13131-015-0632-9.
[14] Zhang J L, Hibler Ⅲ W D. On an efficient numerical method for modeling sea ice dynamics[J]. Journal of Geophysical Research, 1997, 102(C4):8691-8702.
[15] Zhang J, Hibler Ⅲ W D, Steele M, et al. Arctic ice-ocean modeling with and without climate restoring[J]. Journal of Physical Oceanography, 1998, 28(2):191-217.
[16] Losch M, Menemenlis D, Campin J M, et al. On the formulation of sea-ice models. Part 1:effects of different solver implementations and parameterizations[J]. Ocean Modelling, 2010, 33(1-2):129-144.
[17] Nguyen A T, Menemenlis D, Kwok R. Arctic ice-ocean simulation with optimized model parameters:Approach and assessment[J]. Journal of Geophysical Research, 2011, 116(C4):C04025
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