Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast
Algorithm development and validation of CDOM properties for estuarine and continental shelf waters along the northeastern U.S. coast
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DOI：
10.1016/j.rse.2014.06.027
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发表时间：
2014-09-01
影响因子：
13.5
通讯作者：
Aurin, Dirk
中科院分区：
文献类型：
--
作者：
Mannino, Antonio;Novak, Michael G.;Aurin, Dirk
从2004年到2011年，在美国东北部的大陆边缘收集了大量的实地测量数据，以开发和验证海洋颜色卫星算法，用于检索275：295 nm和300：600 nm光谱范围（S-275：295和S-300：600）的有色溶解有机物（a（CDOM））和CDOM光谱斜率的吸收系数。应用从水中辐射测量剖面沿着计算的遥感反射率（R-rs）测量值以及a（CDOM）（lambda）数据，为SeaWiFS和MODIS-Aqua海洋水色卫星传感器开发几种类型的算法，其中包括a（CDOM）（X）与（1）R-rs波段比的最小二乘线性回归，（2）基于准解析算法的总吸收系数的（基于QA的）乘积，（3）多元线性回归（MLR）分析中的多个R-rs带，以及（4）漫射衰减系数（K-d）。对于我们研究区域的a（CDOM）（275），a（CDOM）（355），a（CDOM）（380），a（CDOM）（412）和a（CDOM）（443）的MLR检索的相对误差（平均绝对百分比差异; MAPD）范围为MODIS-Aqua的20.4 - 23.9%和SeaWiFS的27.3-30%。由于CDOM光谱斜率值的范围较窄，MLR S-275：295和S-300：600算法的MAPD要低得多，SeaWiFS分别为9.9%和9.1%，而MODIS分别为8.7%和9.7%。多年，季节性和空间MODIS-Aqua和SeaWiFS分布的爪，S-275：295和S-300：600处理这些算法是一致的，与现场测量和过程，影响CDOM水平沿着美国东北部的大陆架几个卫星数据处理因素与较高的不确定性，卫星检索（CDOM），S-275：295和S-300.600在沿海海洋，包括太阳天顶角，传感器视角，大气产品应用于大气校正。与不含紫外R-rs波段的算法相比，包含紫外R-rs波段的算法更适合现场测量。这表明，具有紫外线能力的卫星传感器可以提供更好的CDOM检索。由于CDOM参数与近岸海域DOM组分之间具有很强的相关性，因此，利用卫星观测的CDOM参数可以研究DOM的分布、源和汇，这对于理解碳循环、模拟地球系统以及识别地球的变化具有重要意义。爱思唯尔公司出版
An extensive set of field measurements have been collected throughout the continental margin of the northeastern U.S. from 2004 to 2011 to develop and validate ocean color satellite algorithms for the retrieval of the absorption coefficient of chromophoric dissolved organic matter (a(CDOM)) and CDOM spectral slopes for the 275:295 nm and 300:600 nm spectral range (S-275:295 and S-300:600). Remote sensing reflectance (R-rs) measurements computed from in-water radiometry profiles along with a(CDOM)(lambda) data are applied to develop several types of algorithms for the SeaWiFS and MODIS-Aqua ocean color satellite sensors, which involve least squares linear regression of a(CDOM)(X) with (1)R-rs band ratios, (2) quasi-analytical algorithm-based (QAA-based) products of total absorption coefficients, (3) multiple R-rs bands within a multiple linear regression (MLR) analysis, and (4) diffuse attenuation coefficient (K-d). The relative error (mean absolute percent difference; MAPD) for the MLR retrievals of a(CDOM)(275), a(CDOM)(355), a(CDOM)(380), a(CDOM)(412) and a(CDOM)(443) for our study region range from 20.4 to 23.9% for MODIS-Aqua and 27.3-30% for SeaWiFS. Because of the narrower range of CDOM spectral slope values, the MAPD for the MLR S-275:295 and S-300:600 algorithms are much lower ranging from 9.9% and 9.1% for SeaWiFS, respectively, and 8.7% and 9.7% for MODIS, respectively. Multi-year, seasonal and spatial MODIS-Aqua and SeaWiFS distributions of Claw, S-275:295 and S-300:600 processed with these algorithms are consistent with field measurements and the processes that impact CDOM levels along the continental shelf of the northeastern U.S. Several satellite data processing factors correlate with higher uncertainty in satellite retrievals of a(CDOM), S-275:295 and S-300.600 within the coastal ocean, including solar zenith angle, sensor viewing angle, and atmospheric products applied for atmospheric corrections. Algorithms that include ultraviolet R-rs bands provide a better fit to field measurements than algorithms without the ultraviolet R-rs bands. This suggests that satellite sensors with ultraviolet capability could provide better retrievals of CDOM. Because of the strong correlations between CDOM parameters and DOM constituents in the coastal ocean, satellite observations of CDOM parameters can be applied to study the distributions, sources and sinks of DOM, which are relevant for understanding the carbon cycle, modeling the Earth system, and to discern how the Earth is changing. Published by Elsevier Inc.