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首页> 外文期刊>Estuarine Coastal and Shelf Science >Evaluation of model simulated and MODIS-Aqua retrieved sea surface chlorophyll in the eastern Arabian Sea
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Evaluation of model simulated and MODIS-Aqua retrieved sea surface chlorophyll in the eastern Arabian Sea

机译：阿拉伯海东部模拟模型和MODIS-Aqua提取的海表叶绿素评估

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摘要

In this study we assess the accuracy of sea surface Chlorophyll-a (Chla) retrieved from satellite (MODIS-Aqua), using standard OC3M algorithm, and from a Regional Ocean Modelling System (ROMS) biophysical model against in situ data, measured in surface waters of the eastern Arabian Sea, from April 2009 to December 2012. MODIS-Aqua OC3M Chla concentrations showed a high correlation with the in situ data with slope close to unity and low root mean square error. In comparison, the ROMS model underestimated Chla, though the correlation was significant indicating that the model is capable of reproducing the trend in in situ Chla. Time Series trends in Chla were examined against wind driven Upwelling Indices (UIW) from April 2009 to December 2012 in north-eastern (Gujarat) and south-eastern (Kochi) coastal waters of the Arabian Sea. The annual peak in Chla along the Kochi coast during the summer monsoon was adequately captured by the model. It is well known that the peak in surface Chla along the Kochi and Gujarat coasts during the summer monsoon is the result of coastal upwelling, which the ROMS model was able to reproduce accurately. The maximum surface Chla along the Gujarat coast during the winter monsoon is due to convective mixing, which was also significantly captured by ROMS biophysical model. There was a lag of approximately one week between the maximum surface Chla and the peak in the Upwelling Index. (C) 2016 Elsevier Ltd. All rights reserved.
机译：在这项研究中，我们评估了使用标准OC3M算法从卫星（MODIS-Aqua）以及从区域海洋建模系统（ROMS）生物物理模型中获取的海面叶绿素a（Chla）相对于在地表测量的原位数据的准确性从2009年4月至2012年12月，在阿拉伯海东部海域。MODIS-AquaOC3M Chla浓度与原位数据高度相关，且斜率接近于统一且均方根误差低。相比之下，ROMS模型低估了Chla，尽管相关性很明显，表明该模型能够重现Chla的趋势。从2009年4月至2012年12月在阿拉伯海的东北（Gujarat）和东南（Kochi）沿海水域，根据风速上升指数（UIW）研究了Chla的时间序列趋势。该模型充分捕获了夏季季风期间高知沿岸Chla的年高峰。众所周知，夏季季风期间，高知和古吉拉特邦沿岸Chla的峰值是沿海上升的结果，ROMS模型能够精确再现该峰值。冬季季风期间，古吉拉特邦海岸沿岸的最大Chla归因于对流混合，这也被ROMS生物物理模型捕获。最大表面Chla与上升流指数的峰值之间存在大约一周的延迟。 （C）2016 Elsevier Ltd.保留所有权利。

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