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全球海水质量季节变化研究

海平面变化是海水密度和海水总质量变化的结果,是全球气候变化研究的重要内容之一。利用GRACE卫星观测得到的重力场系数变化资料及重力卫星测高得到的海平面变化扣除由模式得到的热容海平面变化,研究了海水的质量变化。研究结果显示,由这两种方法得到的海水质量变化有非常明显的季节性特征,且其周年振幅和位相非常接近。     

冰川均衡调整模型对全球质量变化的影响分析

利用国际上常用的8个冰川均衡调整（GIA）模型分别对利用卫星重力(GRACE)数据解算的2005~2014年全球质量变化趋势进行GIA改正。在对南极地区进行改正时发现,ICE-6G_C、ICE-6G_D和IJ05这3种模型的改正值相近;在对全球海水质量变化趋势进行改正时发现,不同改正模型对全球海水质量变化影响的均值都小于-2.0 mm/a;对比陆地水及冰盖对海水质量变化趋势的贡献,同时联合卫星测高和Argo温盐数据集进一步验证发现,Paulson07、GW13和ICE-6G_D模型对全球海水质量改正效果较好。综合整个陆地和海洋的分析结果来看,ICE-6G_D模型更适用于全球质量变化趋势的调整。     

SWOT宽刈幅干涉测高卫星数值模拟：以南海海平面变化监测为例

以中国南海及周边区域为例,利用ECCO2海洋模式数据模拟的SWOT观测数据评估SWOT的海平面长期观测能力。分析SWOT模拟误差表明,相位误差和横滚误差占主导,并且距离星下点越远误差越大。通过空间平滑对模拟的误差进行消除,南海地区SWOT的观测与海洋模式真值的均方根误差从4 cm降低到2 cm。对SWOT的观测和海洋模式信号进行分析发现,SWOT观测误差的空间分布基本呈南北条带状,这主要受卫星宽刈幅沿轨观测方式的影响,与海平面变化信号强度无关。进一步提取SWOT一条轨迹进行滤波和10 km×10 km网格插值,结果表明,2 km空间分辨率的地转流估计结果受噪声影响较大,而10 km分辨率结果更接近真值。     

MEAN SEA LEVEL AND SEA SURFACE VARIABILITY OF NQRTHWEST PACIFIC OCEAN AND EASTERN CHINA SEAS FROM GEOSAT ALTIMETRY

Collinear analysis technique is widely used for determining sea surface variability with Geosat altimeterdata from its Exact Repeat Mission(ERM).But most of the researches have been only on global scaleor in oceans deeper than 2000 m.In shallow shelf waters this method is hampered by the inaccuracy ofocean tide data supplied with Geosat Geophysical Data Records(GDRs).This work uses a modified collinearanalysis technique characterized by simultaneous separation of mean sea level and ocean tide with theleast squares method,to compute sea surface variability in the Northwest Pacific Ocean and eastern ChinaSeas.The mean sea level map obtained contains not ouly bathymetric but also dynamic features such asamphidromes,indicating considerable improvement over previous works.Our sea surface variability mapsshow clearly the main current system,the well-known Zhejiang coastal upwelling,and a northern East Chi-na Sea meso-scale eddy in good agreement with satellite sea surface temperature(SST)observation and his-to     

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Relationship between oceanic heat content and sea surface height on interannual time scale

The relationship between heat content and sea surface height (SSH) in the global ocean on the interannual time scale is examined with satellite altimeter measurements, historical hydrography, and model assimilation outputs. Results show that correlation between altimetric SSH and heat content in the upper 700 m calculated from Ishii data is geographically nonuniform. In the tropical ocean, heat content and SSH are strongly correlated and exhibit nearly the same interannual variations. In the polar ocean, their correlation is relatively weak. Further analysis with Simple Ocean Data Assimilation outputs shows that such nonuniform distribution is not from dynamical origin but from the limited integral depth selected to calculate heat content. The integral depth of 700m is inadequate to capture variation of the deep main thermocline in the polar region. The halosteric effect also contributes to the nonuniform pattern of correlation, because saline contraction becomes significant in the polar ocean owing to low temperature.