CYGNSS海表风场观测数据验证及其可能的应用
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中国科学院战略性先导科技专项(XDA2006050301)


Validation of CYGNSS observation and its potential applications
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    摘要:

    海表面风场可以用于获取许多大气和海洋现象的信号,高质量、高时空分辨率的海表面风场数据产品将有利于海洋-大气动力过程的研究.本文使用全球热带系泊浮标阵列计划(Global Tropical Moored Array Programs)的锚定浮标风场数据和西沙通量塔气象观测资料验证了Cyclone Global Navigation Satellite System (CYGNSS)的35°N~35°S海面遥感风场观测数据.结果表明,CYGNSS海表面风场与实测资料存在着2.17 m/s左右的平均均方根误差(RMSD),它可能源于观测数据和卫星遥感资料的观测误差,以及两者在空间和时间上未严格匹配而引起的代表性误差.另外,CYGNSS海表面风速的时间演变与实测资料非常一致,展现了CYGNSS在研究海洋-大气能量和动量交换过程方面的潜在应用价值.本文使用Madden-Julian Oscillation (MJO)和赤道东部印度洋上升流事件作为两个个例,说明了CYGNSS海表面风场资料的潜在应用价值.

    Abstract:

    Many phenomena in the atmosphere and the ocean can be detected by sea surface winds.High quality and high temporal and spatial resolution sea surface wind data product is needed to study these phenomena.In this paper,sea surface winds from Cyclone Global Navigation Satellite System (CYGNSS) mission over 35°N-35°S are validated against in situ observations in order to evaluate the performance of CYGNSS.The in situ wind observations include measurements from the Xisha flux tower in South China Sea (SCS),and moored buoy data from the Global Tropical Moored Buoy Array (GTMBA).The result indicates a mean root-mean-square-difference (RMSD) of 2.17 m/s of CYGNSS winds with respect to in situ observations.Part of this discrepancy may come from instrument error,and part of it may come from representative error because of not-exact match of in situ and satellite measurements.The time evolution of CYGNSS winds,however,is consistent with that of in-situ winds,suggesting its potential application in understanding the complex mass and energy interchange processes of atmosphere and ocean.Examples using surface wind to analyze the MJO and the equatorial eastern Indian Ocean upwelling events are also discussed,which indicates potential applications of CYGNSS observation.

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胡运,王晓春,王东晓. CYGNSS海表风场观测数据验证及其可能的应用[J].南京信息工程大学学报(自然科学版),2018,10(3):370-378
HU Yun, WANG Xiaochun, WANG Dongxiao. Validation of CYGNSS observation and its potential applications[J]. Journal of Nanjing University of Information Science & Technology, 2018,10(3):370-378

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  • 收稿日期:2018-04-10
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  • 在线发布日期: 2018-07-25
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