Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
Assessment of Empirical and Semi-Analytical Algorithms Using MODIS-Aqua for Representing In-Situ Chromophoric Dissolved Organic Matter (CDOM) in the Bering, Chukchi, and Western Beaufort Seas of the Pacific Arctic Region
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DOI：
10.3390/rs13183673
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发表时间：
2021-09
期刊：
影响因子：
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通讯作者：
Melishia I. Santiago;K. Frey
中科院分区：
文献类型：
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作者：
Melishia I. Santiago;K. Frey
我们分析了各种基于卫星的海洋颜色产品，使用MODIS-Aqua调查最准确的经验和半分析算法，代表在一个大的纬度断面在白令海，楚科奇，和太平洋北极地区的博福特海的原位发色溶解有机物（CDOM）。特别是，我们比较了经验（CDOM指数）和几个半分析算法（准分析算法（QAA），Carder，Garver-Siegel-Maritorena（GSM），和GSM-A）的性能与现场测量的CDOM吸收（aCDOM）在412纳米（nm）和443 nm。这些算法与2011年7月，2013年，2014年，2015年，2016年和2017年7月在游轮上收集的原位CDOM测量结果进行了比较。我们的研究结果表明，QAA a443和GSM-A a443算法是现场条件的最准确和最强大的代表，GSM-A a443算法是最准确的算法时，考虑到这里使用的所有统计指标。我们进一步的评估表明，地理变量（到海岸的距离，纬度和采样断面）没有明显的算法的准确性。一般而言，所研究的算法均未显示出与超过约± 60 h偏移量的现场测量值在统计学上的显著一致性，这可能是由于在太平洋北极地区发现的高度可变的环境条件。因此，我们建议在这些北极地区的CDOM的卫星观测不应被用来代表超过± 60小时的时间范围内的原位条件。
We analyzed a variety of satellite-based ocean color products derived using MODIS-Aqua to investigate the most accurate empirical and semi-analytical algorithms for representing in-situ chromophoric dissolved organic matter (CDOM) across a large latitudinal transect in the Bering, Chukchi, and western Beaufort Seas of the Pacific Arctic region. In particular, we compared the performance of empirical (CDOM index) and several semi-analytical algorithms (quasi-analytical algorithm (QAA), Carder, Garver-Siegel-Maritorena (GSM), and GSM-A) with field measurements of CDOM absorption (aCDOM) at 412 nanometers (nm) and 443 nm. These algorithms were compared with in-situ CDOM measurements collected on cruises during July 2011, 2013, 2014, 2015, 2016, and 2017. Our findings show that the QAA a443 and GSM-A a443 algorithms are the most accurate and robust representation of in-situ conditions, and that the GSM-A a443 algorithm is the most accurate algorithm when considering all statistical metrics utilized here. Our further assessments indicate that geographic variables (distance to coast, latitude, and sampling transects) did not obviously relate to algorithm accuracy. In general, none of the algorithms investigated showed a statistically significant agreement with field measurements beyond an approximately ± 60 h offset, likely owing to the highly variable environmental conditions found across the Pacific Arctic region. As such, we suggest that satellite observations of CDOM in these Arctic regions should not be used to represent in-situ conditions beyond a ± 60 h timeframe.