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1.
基于TOPEX/Poseidon资料的南海海面高度场的时空特征分析   总被引:1,自引:0,他引:1  
采用经验正交函数(EOF)分解方法,对TOPEX/Poseidon卫星高度计在南海获得的1992年10月到1999年9月约7a的海面高度观测资料进行分析,从而获得南海海面高度距平场典型的空间分布型态及其对应的时间变化特征。结果表明,南海海面高度距平场在空间上主要表现为两种典型的分布结构:(1)由于冬、夏季风反转造成海盆尺度的涡旋结构,这种分布结构对南海海面高度距平场的方差贡献达27.46%;(2)NE—SW即吕宋—越南反相双涡结构,其方差贡献达20.37%。这两个模态都明显反映了季风的反转以及季风结构所造成的影响。同时,对各空间典型场所对应的时间系数序列进行了傅立叶谱分析,结果表明南海海面高度距平场存在多种时间尺度的变化。  相似文献   

2.
用TOPEX/Poseidon资料研究南海潮汐和海面高度季节变化   总被引:8,自引:0,他引:8  
采用引入差比关系法对南海TOPEX/Poseidon卫星高度计算资料进行了潮汐分析;根据所得潮汐调和常数对卫星高度计测得的海面高度进行潮汐订证,进而得到南海各季节的海面高度距平。结果表明,南海冬、夏季季风强盛期海面高度距平位相相反,南海中部夏季为正距平,且有2个正距平中心;冬季为负距平,且有2个负距平中心。春、秋季是不同的季风过渡期,海面高度距平分布也明显不同:南海中部春季为正距平,且只有1个正距平中心;秋季为负距平,且只有1个负距平中心。研究表明,长周期分潮Sa和Saa的叠加值可以很好地逼近南海海面高度距平。根据平均海面和海面高度距平得到了合成的海面高度和地转流场,发现南海表层地转流总体上是气旋式的;秋、冬季表层环流的西向强化十分明显,春、夏季较弱;冬季黑潮通过吕宋海峡进入南海北部,夏季基本上没有进入南海。  相似文献   

3.
利用1992~2001年Topex/Poseidon卫星高度计遥感资料分析了太平洋东南海域 (5°~55°S ,70°~110°W)海面高度的季节及年际变化特征。研究结果表明 ,海区海面高度的季节变化总体上受太阳辐射季节变化的影响 ,南半球夏季 (1~3月 )和秋季 (4~6月 )大致为正距平 ,而冬季 (7~9月 )和春季 (10~12月 )大致为负距平 ,1996~1998年除外 ;同时 ,受季节性风场、海区罗斯贝波等的影响 ,海面高度变化的区域特征性很强。海面高度的年际变化在低纬处和沿岸还受ElNino影响。  相似文献   

4.
采用一种海面高度异常(Sea Level Anomaly,SLA)对热带气旋响应的合成分析方法,即根据热带气旋的路径位置和运动方向对海面高度异常进行插值、旋转和平均,得到不同热带气旋强度下,以热带气旋最佳路径点为原点的海面高度异常场.利用该方法,基于Aviso卫星高度计数据和中国气象局热带气旋最佳路径数据,得到了199...  相似文献   

5.
由于卫星高度计海面高度场中含有大地水准面信息,在目前测量和计算大地水准面不甚精确的情况下,对其时间距平场的分析应成为目前使用这种资料分析海洋动力学的主要途径。本文从海洋动力学角度,从理论上阐述了时间距平场中包含着平均场的信息,从而从理论上提供了一种时间距平场反演平均场的方法。通过数值实验获得模拟的Geosat高度计资料,定量分析了时间距平场对平均场的贡献,即T内尺度内脉动量对T际尺度运动的贡献,并对上述反演方法进行了模式检验。  相似文献   

6.
采用不同季节样本设计了为期一年(2006年)的太平洋海面卫星高度计资料同化实验,并与控制实验及Evensen(2003)提出气候态样本的简单EnOI方法实验进行比较,利用日本海面融合产品MGDSST资料和Argo浮标廓线资料比较了3组实验结果的均方根误差和相关分布.结果表明:不同季节样本同化方法的主要特点是避免了人为给...  相似文献   

7.
吕宋海峡附近中尺度涡特征的统计分析   总被引:2,自引:0,他引:2  
采用1993年1月到2008年12月16a融合海面高度距平数据,追踪吕宋海峡附近海域(18°~23°N,116°~126°E)中尺度涡的移动轨迹,结果表明:时间分辨率为7d的卫星高度计资料难以观测到中尺度涡从西北太平洋通过吕宋海峡传进南海的过程,但对1994年吕宋海峡中部观测到的一个气旋涡及其附近中尺度涡的运动轨迹进行分析可见,西北太平洋海面高度变化会与吕宋海峡内部海面高度耦合后向南海传播。海面高度距平数据的时间-经度图表明,西北太平洋海面高度变化信号在西传至吕宋海峡附近(121°~122°E)时出现信号不连续。对21°N,116°~140°E断面的海面高度距平数据按周期分别为1~3月、3~6月、330~390d(年信号)进行分段带通滤波,发现不同周期的西北太平洋信号穿过吕宋海峡传入南海受到的阻隔作用、向西传播的速度以及它们所受的强迫机制均不同。  相似文献   

8.
邱云  胡建宇 《海洋通报》2005,24(4):8-16,72
利用1993年4月至2001年3月的TOPEX/POSEIDON卫星高度计遥感资料,研究了热带大西洋(15°S-25°N,50°W-5°W)海面高度距平和表层环流结构的季节性变化。研究结果表明:夏季和冬季海面高度距平分布呈相反的结构,低纬度海区(0°-15°N之间的海区)海表风应力旋度所产生的Ekman抽吸而导致的海面升降是该海区海面高度距平季节性振荡的重要影响因素。热带大西洋表层流结构大部分海域季节变化不明显,部分流系具有明显季节振荡,东向的北赤道逆流夏季强度较大,冬、春季流速较小;非洲沿岸流冬季流向为东南向,其他季节流向为东北向。值得一提的是,几内亚海湾表层流秋、冬季为东向,而春、夏季为西向。通过卫星跟踪ARGOS漂流浮标观测结果进行的对比验证表明,上述遥感资料分析的表层地转流场与海上观测结果一致。  相似文献   

9.
邱云  胡建宇 《海洋科学》2006,30(6):59-65
利用1992年10月~2002年7月的TOPEX/POSEIDON(T/P)卫星高度计月平均格点数据分析了热带大西洋(15°S~25°N,5°~50°W)海面高度距平的低频变化。由热带大西洋大约10 a海面高度距平变化的标准差分析得到:在赤道附近海区(2°~5°N,25°~45°W)、非洲沿岸海区(11°~16°N,16°~18°W)海面高度波动剧烈。对海面高度距平进行经验正交函数(EOF)分析,得到EOF的3个模态分别占有方差比例为51.5%,13.2%和7.9%。第一模态揭示的是热带辐合带(ITCZ)的季节性迁移导致海面高度距平沿着ITCZ平均位置经向倾斜的1 a周期变化,第一模态还显示了太阳辐射的季节差异引起南北两个海盆海面高度的整体升降。第二模态描述了中心分别位于(3°N,40°W)和(7°N,45°W)附近两个涡漩的变化。第三模态表征的是几内亚海湾上升流和赤道北部下降流在6~7月强度达到最大。对EOF时间系数曲线的经验模态分解(EMD),结果表明热带大西洋低频变化包含的成分主要有:0.5,1,2,4和6 a。其中1 a周期是热带大西洋海面高度变化最主要的周期成分,0.5 a周期和2 a周期也是热带大西洋海面高度变化的重要形式;而4 a和6 a周期所占的比例较小。另外EMD方法还分解出1997~1998年太平洋El Nino事件对热带大西洋海面高度的影响。  相似文献   

10.
HY-2A卫星雷达高度计海面高度测量分析与评估   总被引:1,自引:0,他引:1  
HY-2A卫星是我国首颗自主海洋动力环境卫星,已连续运行6年多。卫星上搭载的主载荷雷达高度计能够实现全天候、全天时全球海面高度、有效波高和海面风速的观测,这些观测数据已经广泛用于海洋防灾减灾、资源开发和海上安全等领域。为了全面了解HY-2A卫星雷达高度计多年来的整体观测性能,本文选取了2012年10月26日至2017年8月27日间的全部观测数据IGDR产品进行综合评价。通过自交叉和与Jason-2互交叉两种手段对HY-2A卫星雷达高度计测高能力进行评估。计算HY-2A升降轨自交叉点的测高不符值,发现HY-2A卫星雷达高度计在近全球海域内、升降轨高度异常差小于30cm的限制条件下,平均绝对高度误差为5.81cm,高度异常标准差为7.76cm;限制观测区域为南北纬60°范围内、海面高度异常升降轨交叉点处的差小于10cm的情况下,平均绝对误差可达3.95cm,海面高度异常标准差达4.76cm。通过和Jason-2卫星的互交叉,发现在南北纬66°范围内,交叉点高度异常差小于30cm的情况下,HY-2A和Jason-2的海面高度异常平均绝对误差为5.86cm,标准差为7.52cm,如果在该海域内将海面高度异常差限制在10cm内,平均绝对误差和标准差分别达到4.19cm和4.98cm。HY-2A卫星雷达高度计已经达到国际同类卫星雷达高度计测高水平,可以满足海洋科学研究、海洋环流反演等的需求。  相似文献   

11.
北欧海比容高度及其与卫星高度计海表面高度异常的比较   总被引:2,自引:1,他引:1  
In this study the steric height anomaly which is calculated from the hydrological data(EN3) is compared with the sea level anomaly derived from satellite altimetry in the Nordic Seas. The overall pattern of steric height is that it is higher in the margin area and lower in the middle area. The extreme values of steric height linear change from1993 to 2010 occur in the Lofoten Basin and off the Norwegian coast, respectively. Such a distribution may be partly attributed to the freshening trend of the Nordic Seas. The correlation between SLA(sea level anomaly) and SHA(steric height anomaly) is not uniform over the Nordic Seas. The time series of SLA and SHA agree well in the Lofoten Basin and northern Norwegian Basin, and worse in the northern Norwegian Sea, implying that the baroclinic effect plays a dominant role in most areas in the Norwegian Sea and the barotropic effect plays a dominant role in the northern Norwegian Sea. The weaker correlations between SLA and SHA in the Greenland and Iceland Seas lead a conclusion that the barotropic contribution is significant in these areas. The area-mean SHA over the entire Nordic Seas has similar amplitudes compared with the SLA during 1996–2002, but SHA has become lower than SLA, being less than half of SLA since 2006.  相似文献   

12.
张永垂  张立凤 《海洋与湖沼》2013,44(6):1409-1417
根据海洋Rossby波的西传特性, 使用一阶斜压Rossby波模型对北太平洋海表面高度的年际变异进行了回报和预测研究。回报结果表明, Rossby 波模型能够较好地模拟北太平洋海表面高度的年际变异。尤其是黑潮延伸区的下游, 模拟结果与卫星观测的相关系数达到0.8以上。预测结果表明, Rossby 波模型在两个纬向分布的海域有显著的预报能力, 分别位于高纬度中部和副热带环流西部。前者可提前5—6年, 后者可提前2—4年。此外, 重点开展了Rossby波模型在西北太平洋的预报能力研究。结果表明, Rossby波模型对中国的边缘海有着很好的预测能力, 包括南海北部、台湾以东和东海黑潮海域, 分别在提前32、40和52个月时能取得最佳的预测效果。  相似文献   

13.
Eddy Field in the Japan Sea Derived from Satellite Altimetric Data   总被引:2,自引:0,他引:2  
The Japan Sea is one of the eddy-rich areas in the world. Many researchers have described the variability of the eddy field and its structure in the Tsushima Warm Current region. On the other hand, since there are few data covering the northern part of the Japan Sea, we are not able to understand the detailed variability of the eddy field there. The variation of the eddy field in the Japan Sea is investigated using the temporal fluctuations of sea surface height measured by altimetric data from TOPEX/POSEIDON and ERS-2. Tidal signals are eliminated from the altimetric data on the basis of the results of Morimoto et al. (2000). Distributions of sea surface dynamic height are produced by using the optimal interpolation method every month. The distributions warm and cold eddies that we obtained coincide well with the observed isotherms at 100 m depth measured by the Japan Sea National Fisheries Research Institute and the sea surface temperature measured by satellite. There are areas with high RMS variability of temporal fluctuation of sea surface dynamic height in the Yamato Basin, the Ulleung Basin, east of North Korea, the eastern part of the Yamato Rise, the Tsushima Strait and west of Hokkaido. The characteristics of eddy propagation in the high RMS variability regions are examined using a lag correlation analysis. Seasonal variations in the number of warm and cold eddies are also examined.  相似文献   

14.
Accessible high-quality observation datasets and proper modeling process are critically required to accurately predict sea level rise in coastal areas. This study focuses on developing and validating a combined least squares-neural network approach applicable to the short-term prediction of sea level variations in the Yellow Sea, where the periodic terms and linear trend of sea level change are fitted and extrapolated using the least squares model, while the prediction of the residual terms is performed by several different types of artificial neural networks. The input and output data used are the sea level anomalies (SLA) time series in the Yellow Sea from 1993 to 2016 derived from ERS-1/2, Topex/Poseidon, Jason-1/2, and Envisat satellite altimetry missions. Tests of different neural network architectures and learning algorithms are performed to assess their applicability for predicting the residuals of SLA time series. Different neural networks satisfactorily provide reliable results and the root mean square errors of the predictions from the proposed combined approach are less than 2?cm and correlation coefficients between the observed and predicted SLA are up to 0.87. Results prove the reliability of the combined least squares-neural network approach on the short-term prediction of sea level variability close to the coast.  相似文献   

15.
Satellite altimetry data are facing big challenges near the coasts. These challenges arise due to the fundamental difficulties of correction and land contamination in the foot print, which result in rejection of these data near the coast. Several studies have been carried out to extend these data towards the coast. Over the Red Sea, altimetry data consist of gaps, which extend to about 30–50 km from the coast. Two methods are used for processing and extending Jason-2 satellite altimetry sea level anomalies (SLAs) towards the Red Sea coast; Fourier Series Model (FSM), and the polynomial sum of sine model (SSM). FSM model technique uses Fourier series and statistical analysis reflects strong relationship with both the observation and AVISO data, with strong and positive correlation. The second prediction technique, SSM model, depends on the polynomial sum of sine, and does not reflect any relationship with the observations and AVISO data close to the coast and the correlation coefficient (CC) is weak and negative. The FSM model output results in SLA data significantly better and more accurate than the SSM model output.  相似文献   

16.
In order to satisfy the increasing demand for the marine forecasting capacity, the Bohai Sea, the Yellow Sea and the East China Sea Operational Oceanography Forecasting System (BYEOFS) has been upgraded and improved to Version 2.0. Based on the Regional Ocean Modeling System (ROMS), a series of comparative experiments were conducted during the improvement process, including correcting topography, changing sea surface atmospheric forcing mode, adjusting open boundary conditions, and considering atmospheric pressure correction. (1) After the topography correction, the volume transport and meridional velocity maximum of Yellow Sea Warm Current increase obviously and the unreasonable bending of its axis around 36.1°N, 123.5°E disappears. (2) After the change of sea surface forcing mode, an effective negative feedback mechanism is formed between predicted sea surface temperature (SST) by the ocean model and sea surface radiation fluxes fields. The simulation errors of SST decreased significantly, and the annual average of root-mean-square error (RMSE) decreased by about 18%. (3) The change of the eastern lateral boundary condition of baroclinic velocity from mixed Radiation-Nudging to Clamped makes the unreasonable westward current in Tsushima Strait disappear. (4) The adding of mean sea level pressure correction option which forms the mean sea level gradient from the Bohai Sea and the Yellow Sea to the western Pacific in winter and autumn is helpful to increasing the fluctuation of SLA and outflow of the Yellow Sea when the cold high air pressure system controls the Yellow Sea area.  相似文献   

17.
2000-2008年期间南海海面温度的年际与空间变异   总被引:1,自引:0,他引:1       下载免费PDF全文
通过对2000-2008年更高空间分辨率的南海海面温度(SST)的卫星遥感数据进行经验正交函数(EOF)分析,着重研究21世纪以来整个南海海域SST年际变化的时空变异,并探讨了其与南海海面风场和海面高度的关系,以及期间南海发生的两次负异常事件的特点和成因.SST年际变化的第一模态表现为全海盆同相变化,年际振荡主要发生在...  相似文献   

18.
南海中尺度涡的时空变化规律Ⅰ.统计特征分析   总被引:7,自引:3,他引:4  
利用TOPEX/Poseidon混合ERS1/2高度计资料对1993~2002年间南海中尺度涡进行辨认和动态追踪,并对其时空变化规律进行统计分析,结果表明:南海平均每年出现18个涡旋,出现数量的年际变化与El Niño/La Niña有一定关系.多数涡旋的生命周期在180 d以内,近半数为30~60 d;半径大致在100 km到250 km间,其经向变化与斜压罗斯贝变形半径的经向变化趋势一致;80%的涡旋向西移动,纬向移速大致为在-8 cm/s到3 cm/s间,随纬度变化呈“∑”型分布.涡旋发生的区域主要位于越南南部以东至台湾西南一线海域,呈东北-西南向分布,其中,吕宋海峡以西海域和越南南部以东海域涡旋的出现概率相对较大,约为23%和25%,是涡旋的高发区.涡旋的存在对水深大于200 m海域的海面高度变化的平均贡献约为36%,在涡旋高发区的贡献高达80%.从涡旋出现地点、传播路径和速度、出现概率及对海面高度变化的贡献综合来看,涡旋大体可以沿17°N分成南北两个相对独立系统,一般不会有涡旋跨系统传播.  相似文献   

19.
An array of 5 pressure-recording inverted echo sounders (PIESs) was deployed along the Jason-2 214 ground track in the North Equatorial Current (NEC) region of the western Pacific Ocean for about 2 years from June 2012. Round-trip acoustic travel time from the bottom to the sea surface and bottom pressure measurements from PIES were converted to sea level anomaly (SLA). AVISO along-track mono-mission SLA (Mono-SLA), reference mapped SLA (Ref-MSLA), and up-to-date mapped SLA (Upd-MSLA) products were used for comparison with PIES-derived SLA (ηtot). Comparisons of ηtot with Mono-SLA revealed that hump artifact errors significantly contaminate the Mono-SLA. Differences of ηtot from both Ref-MSLA and Upd-MSLA decreased as the hump errors were reduced in mapped SLA products. Comparisons of Mono-SLA measurements at crossover points of ground tracks near the observation sites revealed large differences though the time differences of their measurements were only 1.53 and 4.58 days. Comparisons between Mono-SLA and mapped SLA suggested that mapped SLA smooths out the hump artifact errors by taking values between the two discrepant Mono-SLA measurements at the crossover points. Consequently, mapped SLA showed better agreement with ηtot at our observation sites. AVISO mapped sea surface height (SSH) products are the preferable dataset for studying SSH variability in the NEC region of the western Pacific, though some portions of hump artifact errors seem to still remain in them.  相似文献   

20.
《Ocean Modelling》1999,1(1):39-52
We describe a technique to estimate the error field in the sea surface height (SSH) anomaly field of an ocean model through the joint use of SSH anomaly fields measured from two satellites, Topex/Poseidon (T/P) and ERS-2. The joint error maps for the model, T/P and ERS-2 show distributions distinctly different from one another and globally inhomogeneous. Both sampling errors and instrument errors are represented in the mapped fields. Additionally, we compare the joint error estimation method to a technique using the model and only one satellite, and show the importance of the cross covariance between the measured SSH and the true SSH field in the estimation of the error field. Finally, we look at the distribution of the error versus the variance of the SSH at a location. This logged distribution suggests that the model errors are generally proportional to the model's variance (regression coefficient of 0.99, globally) while the satellites' errors do not exhibit this linear relationship (regression coefficients on the average of 0.60). The comparison of the two satellite distributions implies that ERS-2 has a lower sampling error than the T/P instrument except in the tropical region.  相似文献   

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