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首页> 外文期刊>International journal of remote sensing >Influence of multi-mission chlorophyll-a data on the simulation of upper ocean thermal structure in the eastern Pacific Ocean
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Influence of multi-mission chlorophyll-a data on the simulation of upper ocean thermal structure in the eastern Pacific Ocean

机译:多任务叶绿素 - 一种数据对东太平洋上海热结构模拟的影响

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摘要

The importance of providing multi satellite-based chlorophyll-a in an ocean model for accurate representation of penetrative shortwave radiation is demonstrated in this study using Modular Ocean Model. It questions the traditional usage of chlorophyll-a climatology in models. The model sensitivity experiments Chl _IA (with interannually varying multi satellite-based chlorophyll-a) and Chl_Clim (with chlorophyll-a climatology) during 1998-2016 reveals the importance of using the interannual chlorophyll. The maximum difference between the two chlorophyll-a products is found during the peak phase of strong El Nino (January-March 1998 and 2016) in the Nino1 + 2 region, allowing 5-11 W m(-2) more shortwave radiation to penetrate below 25 m in Chl _IA, effectively warming the subsurface temperature and cooling the sea surface temperature (SST) by -0.4 degrees C in the Nino1 + 2 region. The reduction in SST bias (warm) by 0.5 degrees C, deepening of mixed layer and isothermal layer, enhancement of upwelling, reduction of upper ocean stability with realistic distribution of upper ocean heat content are some of the major improvements in Chl _IA. The interannual chlorophyll-a variability in fact rectifies the warm (cold) bias in surface (subsurface) temperature commonly found in ocean models especially in the eastern Pacific region during the peak phase of strong El Nino.
机译:使用模块化海洋模型,在本研究中展示了在海洋模型中提供多卫星叶绿素-A在海洋模型中的重要性。它质疑叶绿素 - 叶绿素的使用模型。在1998 - 2016年期间,模型敏感性实验CHL _IA(具有依然不同卫星基叶绿素-A)和CHL_CLIM(具有叶绿素-A气候学)揭示了使用依赖叶绿素的重要性。在Nino1 + 2区的强埃尔尼诺(1998年1月至2016年1月至2016年1月至2016年)的峰值阶段发现了两种叶绿素-A产品之间的最大差异,允许5-11 W m(-2)更短波辐射渗透在CHL _Ia下面低于25米,有效地将地下温度加热并在Nino1 + 2区域中通过-0.4℃冷却海面温度(SST)。 SST偏压(温热)的减少0.5℃,加深混合层和等温层,增强升高,高海洋稳定性降低上海热含量的现实分布是CHL _IA中的一些主要改进。依赖叶绿素 - 易变度实际上整流了在强壮的El Nino的峰值阶段的海洋模型中常见于海洋模型中常见的温度(冰冷的)偏压。

著录项

  • 来源
    《International journal of remote sensing》 |2021年第10期|3445-3455|共11页
  • 作者单位

    Minist Earth Sci Indian Inst Trop Meteorol IITM Pune Maharashtra India|Savitribai Phule Pune Univ Dept Atmospher & Space Sci Pune Maharashtra India|Minist Earth Sci Natl Ctr Medium Range Weather Forecasting Noida India;

    Minist Earth Sci Indian Inst Trop Meteorol IITM Pune Maharashtra India;

    Minist Earth Sci Indian Inst Trop Meteorol IITM Pune Maharashtra India;

    Minist Earth Sci Indian Inst Trop Meteorol IITM Pune Maharashtra 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
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