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作者姓名:吴琼  王晓春  梁文浩  张文君
作者单位:南京信息工程大学大气科学学院, 南京 210044, 中国;南京信息工程大学海洋科学学院, 南京 210044, 中国;加州大学洛杉矶分校地球系统科学与工程联合研究所, 洛杉矶 90095, 美国
基金项目:The National Key Research and Development Program of China under contract No. 2016YFC1401600; the Public Science and Technology Research Fund Projects for Ocean Research under contract No. 201505003; the 2015 Jiangsu Program of Entrepreneurship and Innovation Group under contract No. 2191061503801/002.
摘    要:Using sea surface salinity(SSS)observation from the soil moisture active passive(SMAP)mission,we analyzed the spatial distribution and seasonal variation of SSS around Changjiang River(Yangtze River)Estuary for the period of September 2015 to August 2018.First,we found that the SSS from SMAP is more accurate than soil moisture and ocean salinity(SMOS)mission observation when comparing with the in situ observations.Then,the SSS signature of the Changjiang River freshwater was analyzed using SMAP data and the river discharge data from the Datong hydrological station.The results show that the SSS around the Changjiang River Estuary is significantly lower than that of the open ocean,and shows significant seasonal variation.The minimum value of SSS appears in July and maximum SSS in December.The root mean square difference of daily SSS between SMAP observation and in situ observation is around 3 in both summer and winter,which is much lower than the annual range of SSS variation.In summer,the diffusion direction of the Changjiang River freshwater depicted by SSS from SMAP is consistent with the path of freshwater from in situ observation,suggesting that SMAP observation may be used in coastal seas in monitoring the diffusion and advection of freshwater discharge.

关 键 词:soil  moisture  active  passive  mission  in  situ  observation  soil  moisture  and  ocean  salinity  mission  sea  surface  salinity  Changjiang  River(Yangtze  River)Estuary  freshwater  plume
收稿时间:2019/4/19 0:00:00

Validation and application of soil moisture active passive sea surface salinity observation over the Changjiang River Estuary
Wu,Qiong,Wang,Xiaochun,Liang,Wenhao,Zhang,Wenjun.V[J].Acta Oceanologica Sinica,2020,39(4):1-2.
Authors:Wu  Qiong  Wang  Xiaochun  Liang  Wenhao  Zhang  Wenjun
Institution:1.School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing 210044, China2.School of Marine Science, Nanjing University of Information Science and Technology, Nanjing 210044, China3.Joint Institute for Regional Earth System Science and Engineering, University of California at Los Angeles, Los Angeles 90095, USA
Abstract:Using sea surface salinity (SSS) observation from the soil moisture active passive (SMAP) mission, we analyzed the spatial distribution and seasonal variation of SSS around Changjiang River (Yangtze River) Estuary for the period of September 2015 to August 2018. First, we found that the SSS from SMAP is more accurate than soil moisture and ocean salinity (SMOS) mission observation when comparing with the in situ observations. Then, the SSS signature of the Changjiang River freshwater was analyzed using SMAP data and the river discharge data from the Datong hydrological station. The results show that the SSS around the Changjiang River Estuary is significantly lower than that of the open ocean, and shows significant seasonal variation. The minimum value of SSS appears in July and maximum SSS in December. The root mean square difference of daily SSS between SMAP observation and in situ observation is around 3 in both summer and winter, which is much lower than the annual range of SSS variation. In summer, the diffusion direction of the Changjiang River freshwater depicted by SSS from SMAP is consistent with the path of freshwater from in situ observation, suggesting that SMAP observation may be used in coastal seas in monitoring the diffusion and advection of freshwater discharge.
Keywords:soil moisture active passive mission  in situ observation  soil moisture and ocean salinity mission  sea surface salinity  Changjiang River (Yangtze River) Estuary  freshwater plume
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