Comparison of Arctic sea ice concentration datasets

Wu Shengli; Liu Jian

doi:10.3969/j.issn.0253-4193.2018.11.007

Article Contents

Article Navigation > Haiyang Xuebao > 2018 > 40(11): 64-72

Wu Shengli, Liu Jian. Comparison of Arctic sea ice concentration datasets[J]. Haiyang Xuebao, 2018, 40(11): 64-72. doi: 10.3969/j.issn.0253-4193.2018.11.007

Citation:

Wu Shengli, Liu Jian. Comparison of Arctic sea ice concentration datasets[J]. Haiyang Xuebao, 2018, 40(11): 64-72. doi: 10.3969/j.issn.0253-4193.2018.11.007

Wu Shengli, Liu Jian. Comparison of Arctic sea ice concentration datasets[J]. Haiyang Xuebao, 2018, 40(11): 64-72. doi: 10.3969/j.issn.0253-4193.2018.11.007

Citation:

Wu Shengli, Liu Jian. Comparison of Arctic sea ice concentration datasets[J]. Haiyang Xuebao, 2018, 40(11): 64-72. doi: 10.3969/j.issn.0253-4193.2018.11.007

PDF( 4659 KB)

Comparison of Arctic sea ice concentration datasets

doi: 10.3969/j.issn.0253-4193.2018.11.007

National Satellite Meteorological Center, Beijing 100081, China

Received Date: 2018-01-19
Rev Recd Date: 2018-05-09

Abstract

Abstract

An arctic sea ice concentration dataset was operationally produced in National Satellite Meteorological Center (NSMC) using FY-3 data and Nasa Team2 algorithm. Currently, there are several long time series sea ice concentration data sets are operational produced in different organizations. Several typical operational data sets were compared with the FY-3 sea ice concentration data set include:(1) 1978-present global SIC data set using SSM/I, SSMIS data and Nasa Team (NT) algorithm from National Snow and Ice Data Center (NSIDC); (2) 1978-present global SIC data set using SSM/I, SSMIS data and Boot Strap (BS) algorithm from NSIDC; (3) 2004-present northern hemisphere sea ice coverage data (IMS) set using multi-remote sensing data, ship observation and model result from National Oceanic and Atmospheric Administration. Analysis results show that there are deviation between different data set in north polar area. Based on the higher resolution data set (IMS), we compared the other 3 kinds of data sets, the total biases are more than 1 million km². For NT2 data set, there is a significant overestimate. After the bias correction, the overestimate of NT2 was improved. The further bias analysis found that most of the overestimated area of NT, BS, NT2 compared with IMS was located in land/sea border area. For both overestimated area and underestimated, summer error is larger than winter error. For the total bias, NT2 have the lowest value while BS have the highest value separately. Results show that the FY-3 Arctic sea ice concentration dataset have a similar accuracy with other operational sea ice concentration datasets.
- sea ice concentration,
- long time series,
- dataset

FullText(HTML)

References(22)

References

李培基. 北极海冰与全球气候变化[J]. 冰川冻土, 1996, 18(1):72-80. Li Peiji. The Arctic sea ice and climate change[J]. Journal of Glaciolgy and Geocryology, 1996, 18(1):72-80.

武炳义, 卞林根, 张人禾. 冬季北极涛动和北极海冰变化对东亚气候变化的影响[J]. 极地研究, 2004, 16(3):211-220. Wu Bingyi, Bian Lingen, Zhang Renhe. Effects of the winter ao and the Arctic sea ice variations on climate variation over East Asia[J]. Chinese Journal of Polar Research, 2004, 16(3):211-220.

武炳义, 黄荣辉, 高登义. 冬季北极喀拉海、巴伦支海海冰面积变化对东亚冬季风的影响[J]. 大气科学, 1999, 23(3):267-275. Wu Bingyi, Huang Ronghui, Gao Dengyi. The impact of variation of sea-ice extent in the Kara sea and the Barents seas in winter on the winter monsoon over East Asia[J]. Chinese Journal of Atmospheric Sciences, 1999, 23(3):267-275.

赵玉春, 孙照渤, 王叶红. 南、北极海冰的长期变化趋势及其与大气环流的联系[J]. 南京气象学院学报, 2001, 24(1):119-126. Zhao Yuchun, Sun Zhaobo, Wang Yehong. Linear trend and abrupt change of sea ice in Arctic and Antarctic with its relation to atmospheric circulation[J]. Journal of Nanjing Institute of Meteorology, 2001, 24(1):119-126.

苏洁, 徐栋, 赵进平, 等. 北极加速变暖条件下西北航道的海冰分布变化特征[J]. 极地研究, 2010, 22(2):104-124. Su Jie, Xu Dong, Zhao Jinping, et al. Features of Northwest Passage Sea Ice's distribution and variation under Arctic rapidly warming condition[J]. Chinese Journal of Polar Research, 2010, 22(2):104-124.

张侠, 屠景芳, 郭培清, 等. 北极航线的海运经济潜力评估及其对我国经济发展的战略意义[J]. 中国软科学, 2009(S2):86-93. Zhang Xia, Tu Jingfang, Guo Peiqing, et al. The economic estimate of arctic sea routes and its strategic significance for the development of Chinese economy[J]. China Soft Science, 2009(S2):86-93.

崔红艳, 乔方利, 舒启. 2013年北极最小海冰范围比2012年增加的原因分析[J]. 海洋学报, 2015, 37(11):23-32. Cui Hongyan, Qiao Fangli, Shu Qi. Reasons for the increase minimum Arctic sea ice extent in 2013 compared with 2012[J]. Haiyang Xuebao, 2015, 37(11):23-32.

Ramsay B H. The interactive multisensor snow and ice mapping system[J]. Hydrological Processes, 1998, 12(10/11):1537-1546.

Jin Zhonghai, Simpson J J. Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channel 1 and 2 spectral regions. I. Theoretical analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(1):543-554.

Jin Zhonghai, Simpson J J. Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channel 1 and channel 2 spectral regions. Ⅱ. Correction applied to imagery of snow on sea ice[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(2):999-1015.

Cavalieri D J, Gloersen P, Campbell W J. Determination of sea ice parameters with the NIMBUS 7 SMMR[J]. Journal of Geophysical Research, 1984, 89(D4):5355-5369.

Comiso J C. SSM/I sea ice concentrations using the bootstrap algorithm[R]. NASA Reference Publication 1380. NASA, 1995:49.

Markus T, Cavalieri D J. An enhancement of the NASA Team sea ice algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(3):1387-1398.

Clausi D A, Yue Bing. Comparing cooccurrence probabilities and markov random fields for texture analysis of SAR sea ice imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(1):215-228.

Soh L K, Tsatsoulis C, Gineris D, et al. ARKTOS:an intelligent system for SAR sea ice image classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(1):229-248.

Gloersen P, Cavalieri D J. Reduction of weather effects in the calculation of sea ice concentration from microwave radiances[J]. Journal of Geophysical Research, 1986, 91(C3):3913-3919.
牛漱眷慝瘠敃?潭扩獳敯爠癊愠瑃椬漠湓獵孬?嵩??剮攠浃漠瑗攮?卓敡湴獥楬湬杩?潥映??湣癲楯牷潡湶浥攠湡瑮???のㄠ????㈠??????ち??扯牮?嬠??崠??敥氠晗牥楤捤桥?卬?剓???捩湣慥洠慣牯慶????剮慤洠獩慴祳??????敮瑡?愠汩???湺桯慮湥捛敊浝攮渠瑊獯?瑲潮??愠湯摦?晇潥牯瑰桨捹潳浩楣湡杬?摒敥癳敥污潲灣浨攬渠琱猹?椶測?琹栱攨??温琺改父愶挳琭椹瘶攸??甼汢瑲椾獛攱游獝漠片?卡湮潤睥?慬渠摊??捊敯??慮灮灥楳湳来?匠祊猠瑁攬洠????卩?孡?嵮???祍搠牔漮氠潄来楶捥慬汯?偭牥潮捴攠獯獦攠獡???のづ??????ㄠ???ㄠ??????????扶牡?嬠??嵴??慤爠武畯獲?呴???潅歒歓攭渱?十?呉???癮慤氠畳慣瑡楴潴湥?潯晭?汴慥瑲攠?獮畤洠浓敓牍?灉愠獲獡楤癩敯?浥楴捥牲潛睊慝瘮攠??牅捅琠楔捲?獮敳慡?楴捩敯?牳攠瑯牮椠敇癥慯汳獣孩?嵮???????呒牥慭湯獴慥挠瑓楥潮湳獩?潧測??改漹猹挬椠攳渷挨攲?愺渶搶?刭收洷漹琮攼?卲放湛猱椹湝朠???ぴど????の?????????????扦牵?孩??崠??牧潯睲湩???????漠睭敡汰汰?卮???????潣牥琠楣湯????整瑲?慴汩???瘠慦汲畯慭琠楓潰湥?潩晡?琠桓敥?楳湯瑲攠牍慩捣瑲楯癷敡?浥甯汉瑭楡獧敥湲猠潤牡?獡湛潊睝?愠湉摅?楅挠敔?浡慮灳灡楣湴杩?獮祳猠瑯敮洠????卣??普潣牥?浡潮湤椠瑒潥牭楯湴来?獓敥慮?楩据敧?瀠栲攰渰漰氬漠朳礸嬨?崩??刹攴洷漭琱改‵匸攮渼獢楲渾杛′漰晝??湯癭楩牳潯渠浊攠湃琬???ぶ??????????????rkus T. Sea ice concentration, ice temperature, and snow depth using AMSR-E data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(2):243-252.

Remund Q P, Long D G. Large-scale inverse Ku-band backscatter modeling of sea ice[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(8):1821-1833.

Andersen S, Tonboe R, Kern S, et al. Improved retrieval of sea ice total concentration from spaceborne passive microwave observations using numerical weather prediction model fields:an intercomparison of nine algorithms[J]. Remote Sensing of Environment, 2006, 104(4):374-392.

Haarpaintner J, Spreen G. Use of enhanced-resolution QuikSCAT/SeaWinds data for operational ice services and climate research:sea ice edge, type, concentration, and drift[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(10):3131-3137.

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.

Kongoli C, Boukabara S A, Yan Banghua, et al. A new sea-ice concentration algorithm based on microwave surface emissivities-application to AMSU measurements[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1):175-189.

Shokr M, Kaleschke L. Impact of surface conditions on thin sea ice concentration estimate from passive mic

Relative Articles

Supplements(0)

Cited By

Proportional views