Evaluation of biogeochemical model simulations using World Ocean Atlas and satellite observations in the Arabian Sea

Chikka Kalyani Devasena; M.K. Sharada; P.S. Swathi; Kirit S. Yajnik

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Evaluation of biogeochemical model simulations using World Ocean Atlas and satellite observations in the Arabian Sea

机译：利用世界海洋图集和阿拉伯海的卫星观测评估生物地球化学模型模拟

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Model simulations of the Ocean General Circulation Model (OGCM; MOM4p1), coupled with a state-of-the-art biogeochemical model TOPAZ (Tracers of Phytoplankton with Allometric Zooplankton), which includes multi-nutrient limitations including iron limitation, are used to study the seasonal variations of mixed-layer properties and their influence on nutrients and chlorophyll in the Arabian Sea. The spatial variation of nitrate during the Northeast Monsoon (NEM) and Southwest Monsoon (SWM), in the northern and western parts of the Arabian Sea and coast of Somalia, are very well captured by the model and compare well with observations. Modelled chlorophyll and primary productivity are validated with satellite-derived maps for the Arabian Sea.

机译：使用海洋总环流模型（OGCM; MOM4p1）的模型模拟，以及最先进的生物地球化学模型TOPAZ（浮游动物与异速浮游动物的分流器），其中包括铁限制在内的多种营养限制条件。混合层性质的季节变化及其对阿拉伯海养分和叶绿素的影响。该模型很好地捕捉了东北季风（NEM）和西南季风（SWM）在阿拉伯海的北部和西部以及索马里沿海的硝酸盐空间变化，并与观测值进行了很好的比较。用阿拉伯海的卫星图验证了建模的叶绿素和初级生产力。

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来源
《International journal of remote sensing》 |2014年第14期|5448-5458|共11页
作者
Chikka Kalyani Devasena; M.K. Sharada; P.S. Swathi; Kirit S. Yajnik;
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作者单位

CSIR Centre for Mathematical Modelling and Computer Simulation, Council of Scientific and Industrial Research, Bangalore 560037, India;

CSIR Centre for Mathematical Modelling and Computer Simulation, Council of Scientific and Industrial Research, Bangalore 560037, India;

CSIR Centre for Mathematical Modelling and Computer Simulation, Council of Scientific and Industrial Research, Bangalore 560037, India;

CSIR Centre for Mathematical Modelling and Computer Simulation, Council of Scientific and Industrial Research, Bangalore 560037, India;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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Evaluation of biogeochemical model simulations using World Ocean Atlas and satellite observations in the Arabian Sea

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