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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote sensing
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New models for retrieving and partitioning the colored dissolved organic matter in the global ocean: Implications for remote sensing

机译:检索和划分全球海洋中有色溶解有机物的新模型:遥感的意义

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Despite the importance of CDOM to upper ocean biogeochemical processes and optics, our current understanding of its spatial and temporal distributions and the factors controlling these distributions is very limited. This eventually prevents an understanding of its relationship to the pool of dissolved organic carbon in coastal and open oceans. This work aims to present a new approach for accurate modeling of absorption spectra of CDOM (a_(cdom)) and deriving information on its composition in global ocean waters. The modeling approach uses measurements (in situ) of the remote sensing reflectances at two wavelengths (denoted _(443)~(555)R_(rs)) to estimate a_(cdom)(350) and a_(cdom)(412), applies them to determine two spectral slopes of an exponential curve fit (S) and a hyperbolic curve fit (γ), derives an appropriate parameter (γ~o) for grading the CDOM compositional changes from a_(cdom) (350) and γ, and finally employs a_(cdom)(350), S, and γ~o in a modified exponential model to describe a_(cdom)(Λ) as a function of wavelength. The robustness of this model was rigorously tested on three independent datasets, such as NOMAD in situ data, NOMAD SeaWiFS match-ups data and IOCCG simulated data (all of them contain a_(cdom)(Λ) and R_(rs)(Λ)), which represent a variety of waters within coastal and offshore regions around the world. Accuracy of the retrievals found with the new models was generally excellent, with MRE (mean relative error) and RMSE (root mean square error) of -5.64-3.55% and 0.203-0.318 for the NOMAD in situ datasets, and -5.63 to -0.98% and 0.136-0.241 for the NOMAD satellite datasets respectively (for Λ_(412) to Λ_(670)). When used with SeaWiFS images collected over the regional and global waters, the new model showed the highest surface abundances of CDOM within the subpolar gyres and continental shelves dominated by terrestrial inputs (and perhaps local production) of colored dissolved materials, and the lowest surface abundances of CDOM in the central subtropical gyres and the open oceans presumably regulated by photobleaching phenomenon, bacterial activity and local processes. Significant interseasonal and interannual seasonal changes in the terrestrially-derived CDOM distributions were noticed from these new products that closely corresponded with the global mean runoff/river discharge induced by climate change/warming scenarios.
机译:尽管CDOM对于上层海洋生物地球化学过程和光学很重要,但是我们目前对CDOM的时空分布以及控制这些分布的因素的理解仍然非常有限。这最终使人们无法理解其与沿海和大洋中溶解有机碳库的关系。这项工作旨在提出一种新方法,用于对CDOM(a_(cdom))的吸收光谱进行精确建模,并获得有关其在全球海水中的组成的信息。该建模方法使用两个波长(表示为_(443)〜(555)R_(rs))的遥感反射率测量值(原位)来估计a_(cdom)(350)和a_(cdom)(412),应用它们来确定指数曲线拟合(S)和双曲线曲线拟合(γ)的两个光谱斜率,得出适当的参数(γ〜o)用于对a_(cdom)(350)和γ的CDOM成分变化进行分级,最后,在修正的指数模型中采用a_(cdom)(350),S和γ_o来描述a_(cdom)(Λ)作为波长的函数。该模型的鲁棒性已在三个独立的数据集上进行了严格测试,例如NOMAD原位数据,NOMAD SeaWiFS匹配数据和IOCCG模拟数据(它们都包含a_(cdom)(Λ)和R_(rs)(Λ) ),代表世界各地沿海和近海地区的各种水域。新模型发现的检索结果的准确性通常很高,对于NOMAD原位数据集,MRE(平均相对误差)和RMSE(均方根误差)分别为-5.64-3.55%和0.203-0.318,以及-5.63至- NOMAD卫星数据集分别为0.98%和0.136-0.241(对于Λ_(412)至Λ_(670))。当与在区域和全球水域收集的SeaWiFS图像一起使用时,新模型显示出以极地回旋和大陆架为中心的CDOM的最高表面丰度,其中彩色溶解物质的陆地输入(也许是本地生产)占主导地位,而最低表面丰度CDOM在中亚热带回旋和开放海洋中的分布大概受光漂白现象,细菌活性和局部过程的调节。从这些新产品中发现,陆生CDOM分布存在明显的季节间和年际季节变化,这些变化与气候变化/变暖情景引起的全球平均径流量/河流量密切相关。

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