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基于客观分析的多源卫星叶绿素a浓度产品融合方法研究

施英妮 张亭禄 石立坚 胡晓华 南明星

施英妮, 张亭禄, 石立坚, 胡晓华, 南明星. 基于客观分析的多源卫星叶绿素a浓度产品融合方法研究[J]. 海洋学报, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008
引用本文: 施英妮, 张亭禄, 石立坚, 胡晓华, 南明星. 基于客观分析的多源卫星叶绿素a浓度产品融合方法研究[J]. 海洋学报, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008
Shi Yingni, Zhang Tinglu, Shi Lijian, Hu Xiaohua, Nan Mingxing. Objective analysis for merging multisensory chlorophyll a data[J]. Haiyang Xuebao, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008
Citation: Shi Yingni, Zhang Tinglu, Shi Lijian, Hu Xiaohua, Nan Mingxing. Objective analysis for merging multisensory chlorophyll a data[J]. Haiyang Xuebao, 2016, 38(3): 82-87. doi: 10.3969/j.issn.0253-4193.2016.03.008

基于客观分析的多源卫星叶绿素a浓度产品融合方法研究

doi: 10.3969/j.issn.0253-4193.2016.03.008
基金项目: 国家国际科技合作专项资助(2011DFA22260);国家基金委--山东省联合基金项目"海洋环境动力学和数值模拟"(U1406404),高分专项。

Objective analysis for merging multisensory chlorophyll a data

  • 摘要: 本文基于Aqua/MODIS、Terra/MODIS和Envisat/MERIS多源卫星叶绿素a浓度产品,研究了客观分析融合方法,制作了西北太平洋海域(0°~50°N,100°~150°E)叶绿素a浓度融合产品,并从有效数据空间覆盖率和产品精度两个方面对融合方法进行了评价。与单传感器以及欧洲太空局发布的GSM模型业务化融合产品相比,客观分析融合产品空间覆盖率明显提高;与收集的2002-2012年间叶绿素a浓度实测数据比较,GSM模型业务化融合产品的匹配数据点为578个,偏差为-0.20 mg/m3,均方根误差为0.37 mg/m3,客观分析法融合产品的匹配数据点为1432个,偏差为-0.21 mg/m3,均方根误差为0.36 mg/m3。结果表明:本文研究的客观分析融合方法在保证融合产品精度的同时可显著提高产品的空间覆盖率,在海洋水色融合应用前景广阔。
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出版历程
  • 收稿日期:  2015-04-01
  • 修回日期:  2015-07-15

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