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首页> 外文期刊>International journal of remote sensing >Variability of chlorophyll concentration in the Arabian Sea and Bay of Bengal as observed from SeaWiFS data from 1997-2000 and its interrelationship with Sea Surface Temperature (SST) derived from NOAA AVHRR
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Variability of chlorophyll concentration in the Arabian Sea and Bay of Bengal as observed from SeaWiFS data from 1997-2000 and its interrelationship with Sea Surface Temperature (SST) derived from NOAA AVHRR

机译:从1997-2000年的SeaWiFS数据观察到的阿拉伯海和孟加拉湾中叶绿素浓度的变化及其与源自NOAA AVHRR的海表温度(SST)的相互关系

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摘要

Variability of chlorophyll concentration in the Arabian Sea and Bay of Bengal has been studied using SeaWiFS eight-day average, 9 km processed data for the period 1997-2000. The interrelationship with sea surface temperature (SST) was studied with the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) derived, best SST product. The chlorophyll pattern shows in general high concentrations during February to March in the Arabian Sea and November to December in the Bay of Bengal. Year-to-year variations in temperature show an inverse relation with chlorophyll, at different locations, even on a monthly basis. However, the intraannual variability in chlorophyll at different locations shows differences in the relationship with SST. The Arabian Sea showed an inverse relationship at most of the locations, while a positive relationship was observed in the northwest region during October to December and an inverse relationship during January to April. The Bay of Bengal showed positive relationships at northeast locations, whereas no definite assessment could be made for other locations due to the narrow range of chlorophyll concentration. A longer time series (~10 years) will be required to establish a more concrete relationship but definitely consistent patterns are emerging from this study. The results form an additional dimension to the criteria for partitioning the ocean, required for global productivity or biophysical coupled modelling.
机译:使用SeaWiFS 1997-2000年的8天平均值,9 km处理数据,研究了阿拉伯海和孟加拉湾中叶绿素浓度的变化。使用美国国家海洋和大气管理局(NOAA)派生的最佳超高分辨率辐射计(AVHRR)研究了与海表温度(SST)的相互关系。在阿拉伯海的2月至3月和孟加拉湾的11月至12月期间,叶绿素模式显示出总体上较高的浓度。温度的逐年变化显示在不同位置(甚至每月)与叶绿素成反比。但是,不同位置的叶绿素年内变化显示与SST的关系存在差异。阿拉伯海在大多数地区显示出反比关系,而在西北地区在10月到12月之间则表现出正向关系,而在1月到4月之间则表现出反比关系。孟加拉湾在东北地区显示出正相关关系,而由于叶绿素浓度范围狭窄,无法对其他地区进行确定的评估。建立更具体的关系需要更长的时间序列(约10年),但这项研究肯定会出现一致的模式。结果构成了全球生产力或生物物理耦合建模所需的划分海洋标准的另一个维度。

著录项

  • 来源
    《International journal of remote sensing》 |2005年第17期|p.3695-3706|共12页
  • 作者

    N. CHATURVEDI;

  • 作者单位

    Marine and Water Resource Group, Remote Sensing Applications and Image Processing Area, Space Applications Centre (ISRO), Ahmedabad 380 015 India;

  • 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
  • 中图分类 遥感技术;
  • 关键词

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