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Validation of satellite-derived tropical cyclone heat potential with in situ observations in the North Indian Ocean

机译:利用北印度洋的原位观测资料验证卫星衍生的热带气旋的热势

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摘要

Tropical cyclone heat potential (TCHP) is an important ocean parameter influencing cyclones and hurricanes. The best approach for computing TCHP is to use in situ measurements. However, since in situ data have both spatial and temporal limitations, there is a need for satellite-based estimations. One potential solution is to use sea surface height anomalies (SSHAs) from altimeter observations. However, any estimation derived from satellite measurements requires extensive regional validation. In this letter, we compare satellite-derived TCHP values with those estimated using in situ measurements of the North Indian Ocean collected during 1993-2009. All the available measurements collected from the conductivity temperature and depth (CTD) profiler, expendable CTD profiler (XCTD), bathythermograph (BT), expendable BT (XBT) and Argo floats were used to estimate in situ derived TCHP values. TCHP estimations from satellite observations and in situ measurements are well correlated, with coefficient of determination R~2 of 0.65 (0.76) and a scatter index (SI) of 0.33 (0.25) on a daily (monthly) basis for the North Indian Ocean.
机译:热带气旋热潜势(TCHP)是影响气旋和飓风的重要海洋参数。计算TCHP的最佳方法是使用原位测量。但是,由于原位数据同时具有空间和时间限制,因此需要基于卫星的估计。一种潜在的解决方案是使用高度计观测中的海面高度异常(SSHA)。但是,从卫星测量得出的任何估计都需要广泛的区域验证。在这封信中,我们将卫星衍生的TCHP值与使用1993-2009年收集的北印度洋实地测量值估算的值进行了比较。从电导率温度和深度(CTD)轮廓仪,可消耗的CTD轮廓仪(XCTD),水温计(BT),可消耗的BT(XBT)和Argo浮子收集的所有可用测量值均用于估算就地得出的TCHP值。来自卫星观测和原位测量的TCHP估计具有很好的相关性,北印度洋每天(每月)的确定系数R〜2为0.65(0.76),散布指数(SI)为0.33(0.25)。

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  • 来源
    《Remote sensing letters》 |2012年第8期|615-620|共6页
  • 作者单位

    Department of Space, National Remote Sensing Centre, ISRO, Hyderabad,Andhra Pradesh, India;

    Department of Space, National Remote Sensing Centre, ISRO, Hyderabad,Andhra Pradesh, India;

    Atlantic Oceanographic and Meteorological Laboratory (AOML), National Oceanic and Atmospheric Administration, Miami, FL, USA;

    Atlantic Oceanographic and Meteorological Laboratory (AOML), National Oceanic and Atmospheric Administration, Miami, FL, USA;

    Kissimmee, FL, USA;

    Indian National Centre for Ocean Information Services, Hyderabad,Andhra Pradesh, India;

    Physical Oceanography Division, National Institute of Oceanography, Panjim,Goa, India;

    Physical Oceanography Division, National Institute of Oceanography, Panjim,Goa, India;

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