Bio-optical properties of oceanic waters: A reappraisal
Bio-optical properties of oceanic waters: A reappraisal
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DOI：
10.1029/2000jc000319
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发表时间：
2001-04-15
影响因子：
3.6
通讯作者：
Maritorena, S
中科院分区：
文献类型：
--
作者：
Morel, A;Maritorena, S
海洋案例1沃茨的表观光学特性（AOPs）先前已进行过分析[Morel，1988]，并与叶绿素浓度（[Chl]）统计相关，叶绿素浓度用作描述水体营养状况的全球指数。从这些经验关系的生物光学模型的上层开发。与以前的研究的目标和结构类似，本重新评估利用在最近的联合全球海洋通量研究巡航，即，光谱衰减的向下辐照度Kd（λ）和辐照度反射率R（λ）确定的AOP。这一修订还得益于固有光学特性（IOP）的改进知识，即纯水吸收系数和粒子散射和吸收系数，以及更好的颜料定量（通过系统使用高效液相色谱法）。已经观察到的光学性质和藻类生物量之间的非线性趋势得到了充分证实，但数值差异，以前的K-d（λ）模型，随后的R（λ）模型，修改这些新的关系。预测的R（λ）值作为[叶绿素]的函数，并在两个波长的反射率的预测比率，这是常用的海洋颜色算法，比较以及与字段值（不使用时，开发的反射率模型）。这种良好的协议意味着半解析海洋颜色算法可以成功地应用于卫星数据。进一步纯分析的方法，理想的基础上辐射传输计算与一套IOPs和[叶绿素]之间的关系相结合，目前仍然存在问题，特别是因为海洋粒子的相函数和后向散射效率的知识不足。
The apparent optical properties (AOPs) of oceanic case 1 waters were previously analyzed [Morel, 1988] and statistically related to the chlorophyll concentration ([Chl]) used as a global index describing the trophic conditions of water bodies. From these empirical relationships a bio-optical model of the upper layer was developed. With objectives and structure similar to those of the previous study the present reappraisal utilizes AOPs determined during recent Joint Global Ocean Flux Study cruises, namely, spectral attenuation for downward irradiance K-d(lambda) and irradiance reflectance R(lambda). This revision also benefits from improved knowledge of inherent optical properties (IOPs), namely, pure water absorption coefficients and particle scattering and absorption coefficients, and from better pigment quantification (via a systematic use of highperformance liquid chromatography). Nonlinear trends, already observed between optical properties and algal biomass, are fully confirmed, yet with numerical differences, The previous K-d(lambda) model, and subsequently the R(lambda) model, is modified to account for these new relationships. The R(lambda) values predicted as a function of [Chl] and the predicted ratios of reflectances at two wavelengths, which are commonly used in ocean color algorithms, compare well with field values (not used when developing the reflectance model). This good agreement means that semianalytical ocean color algorithms can be successfully applied to satellite data. Going further into purely analytical approaches, ideally based on radiative transfer computations combined with a suite of relationships between the IOPs and [Chl], remains presently problematic, especially because of the insufficient knowledge of the phase function and backscattering efficiency of oceanic particles.