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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Improved algorithms for accurate retrieval of UV/visible diffuse attenuation coefficients in optically complex, inshore waters
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Improved algorithms for accurate retrieval of UV/visible diffuse attenuation coefficients in optically complex, inshore waters

机译:精确检索光学复杂的近岸水中紫外线/可见光漫射衰减系数的改进算法

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Photochemical processes driven by high-energy ultraviolet radiation (UVR) in inshore, estuarine, and coastal waters play an important role in global biogeochemical cycles and biological systems. A key to modeling photochemical processes in these optically complex waters is an accurate description of the vertical distribution of UVR in the water column which can be obtained using the diffuse attenuation coefficients of downwelling irradiance (K_d(λ)). The SeaUV/SeaUVc algorithms (Fichot et al., 2008) can accurately retrieve Kd (λ = 320, 340, 380, 412, 443 and 490 nm) in oceanic and coastal waters using multispectral remote sensing reflectances (R_(rs)(λ), SeaWiFS bands). However, SeaUV/SeaUVc algorithms are currently not optimized for use in optically complex, inshore waters,where they tend to severely underestimate K_d(λ). Here, a new training data set of optical properties collected in optically complex, inshore waterswas used to re-parameterize the original SeaUV/SeaUVc algorithms, resulting in improved K_d(λ) retrievals for turbid, estuarine waters. Although the updated SeaUV/SeaUVc algorithms perform best in optically complex waters, the original SeaUV/SeaUVc models still perform well in most coastal and oceanic waters. Therefore, we propose a composite set of SeaUV/SeaUVc algorithms, optimized for K_d(λ) retrieval in almost allmarine systems, ranging from oceanic to inshore waters. The composite algorithm set can retrieve Kd fromocean colorwith good accuracy across this wide range ofwater types (e.g.,within a mean relative error of 13% for K_d(340)). A validation step using three independent, in situ data sets indicates that the composite SeaUV/SeaUVc can generate accurate K_d(λ) values at λ = 320-490 nm from ocean color on a global scale. Taking advantage of the inherent benefits of our statisticalmethods, we pooled the validation datawith the training set, obtaining an optimized compositemodel for estimating K_d(λ) in UVwavelengths for almost all marine waters. This "optimized composite" set of SeaUV/SeaUVc algorithmswill provide the optical communitywith improved ability to quantify the role of solar UV radiation in photochemical and photobiological processes in the ocean.
机译:近海,河口和沿海水域中的高能紫外线辐射(UVR)驱动的光化学过程在全球生物地球化学循环和生物系统中起着重要作用。在这些光学复杂水中模拟光化学过程的关键是准确描述水柱中UVR的垂直分布,这可以使用下降辐射的扩散衰减系数(K_d(λ))获得。 SeaUV / SeaUVc算法(Fichot et al。,2008)可以使用多光谱遥感反射率(R_(rs)(λ)准确地检索海洋和沿海水域中的Kd(λ= 320、340、380、412、443和490 nm) ),SeaWiFS乐队)。但是,SeaUV / SeaUVc算法当前尚未针对在光学复杂的近岸水中使用而进行优化,因为这些算法会严重低估K_d(λ)。在这里,使用了在光学复杂的近岸水中收集的新的光学特性训练数据集来重新参数化原始的SeaUV / SeaUVc算法,从而改善了混浊的河口水的K_d(λ)检索。尽管更新的SeaUV / SeaUVc算法在光学复杂的水域中表现最佳,但原始的SeaUV / SeaUVc模型在大多数沿海和海洋水域中仍然表现良好。因此,我们提出了一套SeaUV / SeaUVc算法的组合,针对从海洋到近海的几乎所有海洋系统中的K_d(λ)检索进行了优化。在这种宽泛的水类型范围内(例如,K_d(340)的平均相对误差在13%以内),该复合算法集可以从海洋颜色中检索Kd并具有良好的准确性。使用三个独立的原位数据集的验证步骤表明,合成的SeaUV / SeaUVc可以在全球范围内根据海洋颜色在λ= 320-490 nm处生成准确的K_d(λ)值。利用我们的统计方法的固有优势,我们将验证数据与训练集合并,从而获得了一个优化的复合模型,用于估计几乎所有海水的紫外线波长中的K_d(λ)。这套SeaUV / SeaUVc算法的“优化组合”将为光学界提供增强的能力,以量化太阳UV辐射在海洋光化学和光生物过程中的作用。

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