东中国海海平面高度的时空变化特征

基于AVISO卫星高度计数据,采用小波分析和EOF分析方法,对1993—2015年东中国海海平面高度的时空变化进行分析,结合海水温度比容效应和ENSO过程探讨了海平面高度变化成因。东中国海海平面高度具有明显的季节变化,冬春季较低,夏秋季较高,且SSH极值滞后海水温度极值月份一个月出现。东中国海海平面高度整体为北低南高,由于海区水深和水文动力过程的影响,不同季节SSH空间分布区域性强。在23年间,海平面高度平均线性上升速率为2.82mm/a,具有1a、2.2a的特征变化周期。EOF分析三个主要模态依次反映了海水温度比容效应的季节变化、水动力过程的季节变化和ENSO事件的年际变化对东中国海海平面高度的影响。     

基于多星融合高度计数据的太平洋海域海平面变化特征分析

利用1993年1月—2012年12月共20 a的多星融合高度计数据,对太平洋海域海平面变化的空间分布、长期趋势等特征进行了分析。结果表明:(1)太平洋海域海平面总体呈西升东降的形态;(2)太平洋海域平均海平面的上升速率为0.284 28 cm/a,谱分析的结果表明其变化以1 a周期信号为主,且各部分海域平均海平面上升速率的分析结果也呈现西部大于东部的特征;(3)EOF分析表明第一模态为年代际模态,且可以解释原场的大部分,第二、第三模态为年际模态。     

1993—2012年中国海海平面上升趋势

利用AVISO高度计数据计算了1993—2012年中国海海平面上升趋势,结果表明:(1)中国海平均海平面的上升速率为4.3mm/a,高于全球平均水平;渤、黄、东和南海的上升速率依次为3.1、2.9、3.0和4.6mm/a;渤黄东海平均为3.0mm/a;(2)首次同时计算了中国沿岸、中国海整体及中国海边界平均海平面的上升速率,分别为3.2、4.3、4.6mm/a;中国海边界的上升速率明显高于中国海沿岸及渤、黄和东海。初步认为:(1)渤、黄和东海及中国沿岸的平均海平面均与同期全球平均水平相当,而南海对整个中国海上升率贡献较大;(2)1993—2012年来中国海外围海域的上升可能是中国海上升的主导因素,建议在监测中国沿海海平面变化的同时,必须研究、监测相邻边界海域的海平面变化机制及变化趋势。     

A1B气候情景下海平面变化对东中国海风暴潮的影响

用三维水动力模型Ecomsed,在第四次IPCC评估报告SRES A1B气候情景下,分析21世纪海平面变化对东中国海风暴潮及沿岸脆弱性的影响。在A1B气候情景海平面变化影响下,对17个台风个例进行模拟。结果表明:受海平面变化影响风暴潮增减水出现大概10 cm的变化,风暴潮增水提前,风暴潮增水时段延长;台风强度越大,海平面变化对风暴潮增水强度的影响越明显。海平面变化对海岸带脆弱性具有很大影响,苏北浅滩及环渤海海岸带脆弱性将增强,校核水位在东中国海将会增大。     

海平面长期变化对东中国海潮波的影响

对1992年10月～2007年9月AVISO高度计融合资料进行分析,得到东中国海海平面变化速率。根据计算出的海平面变化速率,线性外推50和100a后东中国海海平面。采用ECOMSED模式,模拟出当前以及50a,100a后东中国海潮波,分析海平面长期变化对东中国海潮波的影响。结果表明,各分潮振幅、迟角与现有各分潮振幅、迟角之差有一定的分布模式,振幅在大部分地区增大,迟角在大部分地区减小,在深水大洋区振幅和迟角基本不变,无潮点位置相对于现有各分潮无潮点位置均发生偏移。     

基于卫星高度计数据的南海海平面时空变化特征分析

本文利用卫星高度计数据,采用多种方法对1993—2017年中国南海海平面高度异常(Sea Level Anomaly,SLA)的空间分布和时间变化进行分析,主要采取的方法有线性回归、Winters指数平滑法、经验模态分解(Empirical Modal Decomposition,EMD)和经验正交函数(Empirical Orthogonal Function,EOF)。通过研究发现,南海大部分海域的多年平均SLA为正值,只有很少一部分海域出现负值(菲律宾群岛中部海域),并且南海的平均SLA有明显的季节性变化。利用线性回归的方法,发现1993—2017年的南海海平面总体呈现上升趋势。利用EMD分析法发现南海有明显的年际和年代际变化。研究结果表明:中国南海海平面高度呈不断上升的趋势,具有明显的季节和年际变化周期,且ENSO对中国南海海平面的作用不可忽视。     

黄海、渤海TOPEX/Poseidon高度计资料潮汐伴随同化

首先将大约10a的TOPEX/Poseidon(T/P)高度计资料沿星下轨迹点做潮汐调和分析,提取得到各分潮的调和常数,利用伴随同化方法,同化到二维非线性潮汐数值模式中,模拟了黄海、渤海区域M₂,S₂,O₁,K₁等4个潮汐分潮,并根据计算结果给出了各分潮的同潮图.将计算值与观测值的进行偏差统计,结果表明计算值与验潮站资料符合良好.研究过程中做了两类试验:一类试验是针对不同的参数进行优化,一类试验是针对不同的资料进行同化.第一类试验表明:将开边界条件和底摩擦系数同时作为模型优化的控制参数,其结果明显优于单独优化开边界条件;第二类试验表明:同时同化高度计资料与验潮站资料,比单独同化其中任一种资料,对模式计算结果都有较好的改进.研究结果表明,采用伴随同化方法,利用T/P高度计资料和验潮站资料作为同化数据能有效改进模拟结果,用来反演黄海、渤海的潮波系统是可行的.     

高度计资料监测日本以南黑潮主轴特性的变化

应用1993年至2001年TOPEX／Poseidon(以下简写为T／P)卫星高度计3条下行轨道的沿轨资料，计算分析了日本以南黑潮主轴的摆动特性，发现在1993年和2000—2001年010轨道上有2次空间尺度较大、持续时间较长的弯曲。黑潮处于平直路径时流速比较大；呈稳定弯曲状态时流速与多年平均值相差不大；而黑潮在两种稳态之间转换时，伴随着流速负距平的出现。     

中国海和泰国湾海域海平面的经向涛动

卫星高度计遥感海面高度距平资料(1992-2012年)的分析结果证实中国海(渤、黄、东海及南海)和泰国湾作为一个半封闭的狭长水域,其海平面存在显著的南北经向涛动。涛动呈现明显的季节性,冬季南高北低,夏季北高南低,以渤海和泰国湾的海平面高差作为涛动的测度,其多年平均波动幅度达63 cm,较差超过80 cm。时间序列分析显示,在季节尺度上这一涛动几乎完全受东亚季风的支配,表明东亚季风的局地强迫是造成季节涛动的主要原因。进一步的分析发现,除季节波动之外研究海域海平面的经向涛动还存在明显的年际变化。不过,与季节尺度的波动有所不同,经向涛动的年际变化不仅是东亚季风区局地作用的结果,而且与太平洋海盆尺度的大气强迫有关,其作用与季风在同一数量级。涛动的年际变化大致滞后各气候因子两个月。采用多输入线性模型做偏相关分析筛选的结果显示,除东亚季风指数之外,研究海域的海平面涛动指数主要与太平洋的南方涛动指数(SOI)和西太平洋遥相关指数(WP)相关。这表明外部强迫既来自热带,也来自中纬度。南方涛动所导致的赤道海域海平面的东西向年际涛动,以及中纬度西风急流年际波动对西北太平洋海平面的作用,都有可能导致研究海域海平面经向涛动的年际变化,其机制有待进一步探讨。     

海平面多年变化的研究方法

本文根据连云港、秦皇岛和葫芦岛1960～1990年的潮汐资料,分析了海平面变化的三个组成部分,指出海平面趋势变化分量的重要性,并提出海平面趋势变化的分析方法。     

河口海岸带地区营养盐收支及模型研究

据统计,现代海岸带虽然只占世界海洋表面的15%,水体积的0.5%,但目前世界上大约50%～60%的人口集中在距离海岸60 km的狭长地带[1].随着人口增长、工农业和市政建设的发展,近几十年间河口及近岸地区的营养盐浓度不断增加,全球范围内氮、磷向海岸带的输送量分别增加2.5和2倍[2].营养盐含量的增加及营养盐比例(如N∶P、Si∶N和Si∶P)[3,4]的变化,引起河口海岸带地区的富营养化加剧,导致浮游植物群落结构的变化并且伴随着有害藻华的出现和持续.为更好地了解并控制河口海岸带地区的富营养化过程,研究营养盐的收支是极为必要的.     

Evidence That Sea State Bias is Different for Ascending and Descending Tracks

Jason-1 and TOPEX/Poseidon (T/P) measured sea-surface heights (SSHs) are compared for five regions during the verification tandem phase. The five regions are of similar latitude and spatial extent and include the Gulf of Mexico, Arabian Sea, Bay of Bengal, and locations in the Pacific and Atlantic Oceans away from land. In all five regions, a bias, defined as Jason SSH—TOPEX-B SSH, exists that is different for ascending and descending tracks. For example, in the Gulf of Mexico the bias for ascending tracks was -0.13 cm and the bias for descending tracks was 2.19 cm. In the Arabian Sea the bias for ascending tracks was -2.45 cm and the bias for descending tracks was -1.31 cm. The bias was found to depend on track orientation and significant wave height (SWH), indicating an error in the sea state bias (SSB) model for one or both altimeters. The bias in all five regions can be significantly reduced by calculating separate corrections for ascending and descending tracks in each region as a function of SWH. The correction is calculated by fitting a second-order polynomial to the bias as a function of SWH separately for ascending and descending tracks. An additional constraint is required to properly apply the correction, and we chose to minimize the sum of the TOPEX-B and Jason-1 root-mean-square (rms) crossover differences to be consistent with present SSB models. Application of this constraint shows that the correction, though consistent within each region, is different for each region and that each satellite contributes to the bias. One potential source that may account for a portion of the difference in bias is the leakage in the wave forms in TOPEX-B due to differing altitude rates for ascending and descending tracks. Global SSB models could be improved by separating the tracks into ascenders and descenders and calculating a separate SSB model for each track.     

Evidence That Sea State Bias is Different for Ascending and Descending Tracks

Jason-1 and TOPEX/Poseidon (T/P) measured sea-surface heights (SSHs) are compared for five regions during the verification tandem phase. The five regions are of similar latitude and spatial extent and include the Gulf of Mexico, Arabian Sea, Bay of Bengal, and locations in the Pacific and Atlantic Oceans away from land. In all five regions, a bias, defined as Jason SSH—TOPEX-B SSH, exists that is different for ascending and descending tracks. For example, in the Gulf of Mexico the bias for ascending tracks was ?0.13 cm and the bias for descending tracks was 2.19 cm. In the Arabian Sea the bias for ascending tracks was ?2.45 cm and the bias for descending tracks was ?1.31 cm. The bias was found to depend on track orientation and significant wave height (SWH), indicating an error in the sea state bias (SSB) model for one or both altimeters. The bias in all five regions can be significantly reduced by calculating separate corrections for ascending and descending tracks in each region as a function of SWH. The correction is calculated by fitting a second-order polynomial to the bias as a function of SWH separately for ascending and descending tracks. An additional constraint is required to properly apply the correction, and we chose to minimize the sum of the TOPEX-B and Jason-1 root-mean-square (rms) crossover differences to be consistent with present SSB models. Application of this constraint shows that the correction, though consistent within each region, is different for each region and that each satellite contributes to the bias. One potential source that may account for a portion of the difference in bias is the leakage in the wave forms in TOPEX-B due to differing altitude rates for ascending and descending tracks. Global SSB models could be improved by separating the tracks into ascenders and descenders and calculating a separate SSB model for each track.     

Simulation of barotropic and baroclinic tides in the South China Sea

The four leading tidal constituents M2, S2, K1 and O1 in the South China Sea are simulated by using POM. The model is forced with tide-generating potential and four leading tidal constituents at the open boundary. In order to simulate more exactly, TOPEX/Poseidon altimeter data are assimilated into the model and the open boundary is optimized. The computed co-tidal charts for M2 and K1 constituents are generally consistent with previous results in this region. The numerical simulation shows that energetic internal tides are generated over the bottom topography such as the Dongsha Islands, the Xisha Islands, the Zhongsha Islands, the Nansha Islands and the Luzon Strait.     

Calibration of TOPEX/Poseidon and Jason Altimeter Data to Construct a Continuous Record of Mean Sea Level Change

Jason, the successor to the TOPEX/POSEIDON (T/P) mission, has been designed to continue seamlessly the decade-long altimetric sea level record initiated by T/P. Intersatellite calibration has determined the relative bias to an accuracy of 1.6 mm rms. Tide gauge calibration of the T/P record during its original mission shows a drift of -0.1 ± 0.4 mm/year. The tide gauge calibration of 20 months of nominal Jason data indicates a drift of -5.7 ± 1.0 mm/year, which may be attributable to errors in the orbit ephemeris and the Jason Microwave Radiometer. The analysis of T/P and Jason altimeter data over the past decade has resulted in a determination of global mean sea level change of +2.8 ± 0.4 mm/year.     

Calibration and Verification of Jason-1 Using Global Along-Track Residuals with TOPEX

It is demonstrated that the Jason-1 measurements of sea surface height (SSH), wet path delay, and ionosphere path delay are within required accuracies, via a global cross-calibration with similar measurements made by TOPEX/Poseidon (T/P) over a 6-month period. Since the two satellites were on the same groundtrack separated in time by only 70 s, measurements were recorded at approximately the same location and time. The variations in the wet path delay measured by Jason-1 compared to T/P are only 5 mm RMS, well within the required performance of 1.2 cm RMS. The RMS of the ionosphere differences is also well within the expected values, with a mean RMS of 1.2 cm. The largest difference is that the Jason-1 SSH is biased high relative to T/P SSH by 144 mm after the T/P and Jason-1 data are both corrected with improved sea state bias (SSB) models. However, the bias will change if a different SSB model is used, so the user should be cautious that the bias used matches the SSB models. The bias is generally constant within ± 10 mm in the open ocean, but appears to be higher or lower in some regions. Additionally, the SSH has been verified by comparison with 36 island tide gauges over the same period. After removing the global relative bias, the Jason-1 SSH data agree with tide gauges within 3.7 cm RMS and with T/P data within about 3.5 cm RMS on average for 1-s measurements, meeting the required accuracy of 4.2 cm RMS.     

用TOPEX/Poseidon资料研究南海潮汐和海面高度季节变化

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。     

Calibration and Verification of Jason-1 Using Global Along-Track Residuals with TOPEX Special Issue: Jason-1 Calibration/Validation

It is demonstrated that the Jason-1 measurements of sea surface height (SSH), wet path delay, and ionosphere path delay are within required accuracies, via a global cross-calibration with similar measurements made by TOPEX/Poseidon (T/P) over a 6-month period. Since the two satellites were on the same groundtrack separated in time by only 70 s, measurements were recorded at approximately the same location and time. The variations in the wet path delay measured by Jason-1 compared to T/P are only 5 mm RMS, well within the required performance of 1.2 cm RMS. The RMS of the ionosphere differences is also well within the expected values, with a mean RMS of 1.2 cm. The largest difference is that the Jason-1 SSH is biased high relative to T/P SSH by 144 mm after the T/P and Jason-1 data are both corrected with improved sea state bias (SSB) models. However, the bias will change if a different SSB model is used, so the user should be cautious that the bias used matches the SSB models. The bias is generally constant within ± 10 mm in the open ocean, but appears to be higher or lower in some regions. Additionally, the SSH has been verified by comparison with 36 island tide gauges over the same period. After removing the global relative bias, the Jason-1 SSH data agree with tide gauges within 3.7 cm RMS and with T/P data within about 3.5 cm RMS on average for 1-s measurements, meeting the required accuracy of 4.2 cm RMS.     

利用TOPEX/Poseidon卫星高度计资料提取黄海、东海潮汐信息的研究

为了更好地利用卫星测高数据分析黄海和东海的潮汐特性 ,对 1 993— 1 999年期间的TOPEX/Poseidon测高数据进行了质量控制和共线平差处理。在此基础上 ,在黄海、东海选取了 1 738个测高点 ,用最小二乘拟合法计算出 1 2个分潮的调和常数。计算得出的M2 和m1分潮的调和常数 ,在交叉点评估的内符精度振幅分别为 2 4cm和 0 8cm ,迟角分别为 2 3°和2 5°。测高点与附近验潮站的这两个分潮结果相比 ,振幅的均方根误差小于 4cm ,而迟角相差较大。这可能与验潮站的地理环境因素有关。用卫星测高数据算得的调和常数绘制的主要分潮特性图与现有常规观测得到的相应图进行了比较 ,在外海深水区两者符合较好 ;近岸由于卫星测高误差较大 ,所以两者符合差。     

Using Kolmogorov-Smirnov Statistics to Compare Geostrophic Velocities Measured by the Jason, TOPEX, and Poseidon Altimeters

The Kolmogorov-Smirnov (K-S) test is used to compare probability density functions (PDFs) of geostrophic velocities measured by the TOPEX, Poseidon, and Jason altimeters. Velocity PDFs are computed in 2.5° by 2.5° boxes for regions equatorward of 60° latitude. Although velocities measured by the TOPEX and Jason altimeters can differ, on the basis of the K-S test the velocities are statistically equivalent during the ∼200 day period when the satellites followed the same orbit. Full records from TOPEX, Poseidon, and Jason show less agreement, which can be attributed to temporal variability in ocean surface velocities and differing levels of measurement noise.