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Development and application of ocean color algorithms for estimating particulate organic carbon in the Southern Ocean from satellite observations.

机译:海洋颜色算法的开发和应用,该算法可通过卫星观测估算南大洋中的颗粒有机碳。

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摘要

Empirical algorithms have been developed for estimating surface concentration of particulate organic carbon (POC) from remotely-sensed ocean color in the Southern Ocean using field data POC, spectral remote-sensing reflectance, Rrs(lambda), and the inherent optical properties (IOPs) of seawater. Several algorithm formulations have been considered. The best algorithm performance was obtained for the power function fit POC (mg m -3) = 189.29 [Rrs(443)/ Rrs(555)]-0.87 with mean bias of 3%, normalized mean square error 7%, and determination coefficient 0.93. Analysis of match-up comparisons between satellite-derived and in situ POC support application of this algorithm in the Southern Ocean.;The bio-optical relationships on which the POC algorithms are based exhibit significant variability mainly due to differing particulate assemblages. To quantify the sources of this variability, Mie scattering modeling and empirical data were used to calculate IOPs, POC, and chlorophyll-alpha content for 21 representative classes of particles. These classes represent colloids, organic detritus, minerals, and various plankton species. By using this reductionist approach, 38 different bulk models of seawater were constructed and analyzed. The utility of this approach in advancing an understanding of variability in the POC algorithms is shown; for example, the relationship between POC and particulate backscattering is investigated.;The POC retrieval algorithm based on the reflectance band ratio was applied to SeaWiFS satellite data to demonstrate seasonal and interannual variability in POC in the Southern Ocean (south of 35°S) from 1997 through 2007. Typically the surface POC concentrations range from 30 to 120 mg m-3 while the monthly means range from 70--80 mg m-3. The seasonal maximum stock of POC (0.6 Pg) integrated within the top 100 m of the ocean occurs in December. The seasonal range of area-normalized POC is 5.5--6.6 g m-2. The region south of 55°S provides a dominant contribution to the accumulation of POC during the productive period of the season. During the austral spring, the area-normalized POC accumulates in these high-latitude waters at rates from about 0.2 to 0.7 g m-2 month-1. The comparison of these rates with large-scale satellite-based estimates of net primary production indicates that only a small fraction (10%) of production accumulates as POC.
机译:已经开发了经验算法,用于使用现场数据POC,光谱遥感反射率,Rrs(λ)和固有光学特性(IOP)估算南大洋中来自遥感海洋颜色的颗粒有机碳(POC)的表面浓度海水。已经考虑了几种算法公式。幂函数拟合POC(mg m -3)= 189.29 [Rrs(443)/ Rrs(555)]-0.87的最佳算法性能达到最佳,平均偏差为3%,归一化均方误差为7%,确定系数0.93。卫星源和原位POC之间的匹配比较分析支持了该算法在南大洋中的应用。POC算法所基于的生物光学关系表现出明显的可变性,这主要是由于不同的微粒组合所致。为了量化这种可变性的来源,使用Mie散射模型和经验数据来计算21种代表性颗粒的IOP,POC和叶绿素-α含量。这些类别代表胶体,有机碎屑,矿物质和各种浮游生物。通过使用这种还原论方法,构建并分析了38种不同的海水模型。显示了这种方法在增进对POC算法中的可变性的理解方面的效用。 ;例如,研究了POC与颗粒反向散射之间的关系。;将基于反射带比率的POC检索算法应用于SeaWiFS卫星数据,以证明南大洋(35°S以南)POC的季节和年际变化。从1997年到2007年。通常地表POC浓度范围为30至120 mg m-3,而每月平均浓度范围为70--80 mg m-3。整合在大洋100 m内的POC(0.6 Pg)的季节性最大储量发生在12月。面积归一化POC的季节范围是5.5--6.6 g m-2。 55°S以南地​​区在该季节的生产期间对POC的积累起了主要作用。在南方春季,在这些高纬度水域中,面积归一化的POC以约0.2至0.7 g m-2 month-1的速率积累。将这些比率与基于卫星的大规模净初级生产估算进行比较,结果表明只有少量(<10%)的生产作为POC积累。

著录项

  • 作者

    Allison, David Benjamin.;

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Physical Oceanography.;Physics Optics.;Biogeochemistry.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 198 p.
  • 总页数 198
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:23

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