Chlorophyll Variability in the Bay of Bengal and its Relation with ENSO

K. Krishna
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引用次数: 1

Abstract

The concentration of chlorophyll-a (Chl-a) is influenced by the impact of El-Nino southern oscillation in Bay of Bengal sea water. In this study using data, monthly mean chlorophyll data derived from the sea-viewing Wild of view-sensor, the sea surface temperature is derived from the National Oceanic and Atmospheric Administration Advanced Very High-Resolution Radiometer, satellite derived monthly wind data is derived from the using CCMP, satellite altimeter sea surface height anomaly data derived from the TOPEX and the monthly mean mixed layer depth is taken from the Argo gridded data. The study period in this study is 1980-2017 (January-December) were analyzed the provincial nature of the ENSO linked with the above parameters. This satellite derived ocean data was used to identify the variability of the chlorophyll-a in Bay of Bengal associated with the ENSO. The witness of the Bay of Bengal is varied and response of climate modes due to El-Nino southern oscillation. These changing climate models have been impacting and influence the chlorophyll productivity in Bay of Bengal waters. Keeping in this view this study attempts to analyze the chlorophyll activity during the strong El-Nino years (1993, 1988, 1992, 1998, 2010, 2016) and strong La-Nina years (1989, 1999, 2000, 2008) in Bay of Bengal. In this study we must choose six provinces and observed that the variability and response of chlorophyll variability in Bay of Bengal during with peak El-Nino years (2010&2016) and La-Nina years (2008&2011) in Bay of Bengal. The relation between sea surface temperature and Chl-a indicates that, during peak El-Nino years the low Chl-a concentration were observed due to down-welling process. The high Chl-a concentration (0.15mg/m 3 ) were observed during peak La-Nina years in Bay of Bengal. The variability of the chlorophyll concentration is used to understand and improve the climate mode at different provinces in Bay of Bengal during ENSO time.
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孟加拉湾叶绿素变异及其与ENSO的关系
El-Nino南方涛动对孟加拉湾海水叶绿素-a (Chl-a)浓度的影响。本研究使用的数据包括:基于view-sensor的sea-viewing Wild的月平均叶绿素数据,基于美国国家海洋和大气管理局先进高分辨率辐射计的海面温度数据,基于CCMP的卫星月风数据,基于TOPEX的卫星高度计海面高度异常数据,以及基于Argo网格数据的混合层月平均深度数据。本研究以1980-2017年(1 - 12月)为研究期,分析了ENSO与上述参数相关的省级性质。该卫星获得的海洋数据用于确定孟加拉湾与ENSO相关的叶绿素-a的变异性。在厄尔尼诺南方涛动的影响下,孟加拉湾见证了气候模式的变化和响应。这些变化的气候模式一直在影响和影响孟加拉湾水域的叶绿素生产力。基于此,本研究试图分析孟加拉湾强El-Nino年(1993、1988、1992、1998、2010、2016年)和强La-Nina年(1989、1999、2000、2008年)的叶绿素活性。本研究选取6个省份,分别观测孟加拉湾El-Nino年(2010&2016年)和La-Nina年(2008&2011年)的高峰年叶绿素变异率及其响应。海表温度与Chl-a的关系表明,在El-Nino高峰年,由于下沉过程,Chl-a浓度较低。在拉尼娜现象高峰期,孟加拉湾的Chl-a浓度较高(0.15mg/m 3)。利用叶绿素浓度的变率来了解和改进ENSO期间孟加拉湾不同省份的气候模式。
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