卫星高度计绝对定标中海面高梯度的计算

给出了通过平均海面高模型计算海面高梯度的具体方法,选择DTU13、CNES_CLS15、WHU2013 3种模型计算了不同海域近岸比较点海面高梯度值,随机选择的30个近岸比较点处的计算结果表明:使用3种模型计算得到的海面高梯度值之间的标准差均值为0.19cm/km。在卫星高度计定标的具体应用中,由海面高梯度得到的海面高差改正量的误差应不超过0.3cm。     

1997～1998年热带太平洋海面变化

1 引言 在1997～1998年度发生的厄尔尼诺现象是有记录以来最强的一次,整个地球几乎都受到它的巨大影响,其中比较直接的影响有:印度尼西亚和巴西北部发生特大旱灾,秘鲁的洪水灾害,印度尼西亚不断发生的森林大火,巴西亚马逊河流域的原始森林的生态平衡遭到严重破坏.     

1997—1998年热带太平洋的海面变化

1　引言在 1 997～ 1 998年度发生的厄尔尼诺现象是有记录以来最强的一次 ,整个地球几乎都受到它的巨大影响 ,其中比较直接的影响有 :印度尼西亚和巴西北部发生特大旱灾 ,秘鲁的洪水灾害 ,印度尼西亚不断发生的森林大火 ,巴西亚马逊河流域的原始森林的生态平衡遭到严重破坏 .经济方面的影响就更为广泛 ,由于大气和海水的异常 ,渔业和农业受到极大的损害 ,鉴于厄尔尼诺引起的大量的自然灾害 ,引起许多国家的经济动荡 ,从而造成间接损失的数目更加庞大 .用高精度雷达高度计可以对这一现象进行有效的监测 ,从热带海面高度异常场可以生动的演示…     

利用卫星测高技术监测2006-2007年厄尔尼诺现象

利用欧空局(ESA)提供的最新 Envisat-1 卫星测高数据由共线平差方法计算出热带太平洋地区海平面相对于正常年份的高度变化并绘制 30 ′× 30 ′月海面异常图,对 2006-2007 年厄尔尼诺现象进行了研究分析,监测到其发生、发展、消亡的全过程,揭示了利用卫星测高技术研究厄尔尼诺现象的可行性.     

浅论海面地形特征的形成机制

本文从地热学、海洋学、气象学、物理海洋学和海底构造学角度,探讨了海面地形特征的形成机制。研究表明,形成海面地形起伏差异的主要因素有以下三个:一是有特殊的热量来源,二是有保持热量不流失的外部条件——特有的地貌特征和海底地形,三是有特殊的海流影响。     

多源数据推求的西太平洋区域海面动力地形比较分析

简述利用空间大地测量观测数据和海洋水文数据推求海面动力地形的方法。基于EGM96重力场模型和卫星重力恢复的重力场模型GL04C,联合卫星测高平均海面高模型分别推算西太平洋海域的平均海面动力地形,并与根据海洋水文数据推算之结果进行比较分析。结果表明:卫星重力场模型GL04C更好地表现了海面地形的细节特征。卫星重力和卫星测高的联合应用将成为确定海面动力地形的有效途径之一。     

南海周边相对海平面变化特征及2004年苏门答腊地震影响分析

利用南海周边1989-2014年的潮汐资料和GPS长期观测资料,分析了南海周边相对海平面变化特征,以及2004年苏门答腊地震对该区域相对海平面变化的影响。研究结果表明,南海周边的相对海平面变化以上升为主,平均上升速率（4.53±0.20） mm/a,高于全球平均速率,且2004年后上升趋势加剧;南海周边相对海平面呈现6类较典型的变化特征,并存在与板块构造相对应的分区聚集现象,形成了中国东南和越南沿海、马来半岛、加里曼丹岛北部、菲律宾群岛等4个变化特征区。受2004年苏门答腊大地震的影响,马来半岛、南沙和西沙海域的地壳形变由上升趋势转为下沉,加剧了相对海平面的上升;中国东南沿海和菲律宾群岛受地震影响较小;越南沿海和加里曼丹岛北部区域的地震影响还有待进一步研究。     

基于T/P卫星海面测高的黄东海海面地形变化探讨

利用Topex/Posedion卫星的SSHA数据对黄、东海1993-2001年期间的平均海面地形的空间形态特征、变化速率的空间分布特征及年内变化特征等3个方面进行了分析.研究结果表明,该海区9a平均海面地形的基本特征为：东南高、西北低,由东南向西北倾斜,最大高差超过90 cm;1993-2001年期间全海区均呈现海面上升趋势,上升速率值在5～8.6 mm/a之间,海面上升的空间分异表现为南快北慢,东快西慢.海面地形的年内变化在时间上呈正弦波动,空间上中、北部区域变化速度快,年较差大;南部区域变化速度慢,年较差小;变化空间特征复杂.     

1993—2001年全球海面高度变化特征

应用TOPEX／POSEIDON（T／P）卫星高度计测高资料，对全球海洋的海面变化特征进行了分析，结果表明，1993年1月－2001年6月期间，全球海平面呈现上升的态势；全球平均海平面高度的平均上升速率约为1．2mm/a；海温的变化是引起海平面变化的重要原因，便其对海平面抬升的贡献不到50％。海平面的变化具有很强的地域特征。海平面变化的空间分布特征受风应力异常特别是纬向风应力异常的空间分布影响较大。     

南海海面高度年际变化的S-EOF分析

应用依赖于季节的经验正交甬数(S-EOF)分析,探讨了最近15a南海海面高度随季节演变的年际变化.S-EOF分析得出南海海面高度异常各模态不同季节的空间结构以及时间演变过程,证实了季风强盛期冬季和夏季基本模态的结构,还分离出了季风转换期(春季和秋季)海面高度的分布格局.结果表明,南海海面高度随季节演变的年际变化与厄尔尼诺和拉尼娜事件密切相关.S-EOF1的结果表明,南海海面高度的变化具有明显而稳定的季节振荡,但在ENSO年海面高度的季节振荡相对减弱;S-EOF2模态显示了1998-2001年间冬季吕宋岛西侧存在一个较强的正异常,且能一直持续到春季;S-EOF3模态主要体现了南海西部一系列中尺度涡状结构的年际差异,包含1997/1998年厄尔尼诺对南海环流的影响.     

Trends in Extreme Mean Sea Level Quantiles from Satellite Altimetry

Satellite altimetry allows the study of sea-level long-term variability on a global and spatially uniform basis. Here quantile regression is applied to derive robust median regression trends of mean sea level as well as trends in extreme quantiles from radar altimetry time series. In contrast with ordinary least squares regression, which only provides an estimate on the rate of change of the mean of data distribution, quantile regression allows the estimation of trends at different quantiles of the data distribution, yielding a more complete picture of long-term variability. Trends derived from basin-wide averaged regional mean sea level time series are robust and similar for all quantiles, indicating that all parts of the data distribution are changing at the same rate. In contrast, trends are not robust and diverge across quantiles in the case of local time series. Trends are under- (over-)estimated in the western (eastern) equatorial Pacific. Furthermore, trends in the lowermost quantile (0.05) are larger than the median trend in the western Pacific, while trends in the uppermost quantile (0.95) are lower than the median trend in the eastern Pacific. These differences in trends in extreme mean sea level quantiles are explained by the exceptional effect of the strong 1997–1998 El Niño–Southern Oscillation (ENSO) event.     

联合卫星测高和卫星重力数据研究热容海平面变化

首先用卫星测高资料计算了1993～2009年6月的全球平均海平面变化。用GRACE(gravity recovery andclimate experiment)时变重力场系数反演了2003～2009年6月全球平均海水质量变化。联合GRACE和卫星测高资料计算了2003～2009年6月的热容海平面变化,该变化呈上升趋势。用日本气象局Ishii等提供的海温数据计算了1993～2006年的海水引起的平均热膨胀海平面变化,1993～2003年间,全球海洋热膨胀引起的热容海平面呈上升趋势,约占同期平均海平面变化的一半。利用ARGO温盐数据计算了2004～2009年6月平均热容海平面变化,也呈上升态势,只是变化速率有所减慢。     

印尼贯穿流出流海域海表高度时空变化

采用经验正交分解(Empirical Orthogonal Function,EOF)分析方法对印尼贯穿流出流海域卫星测高海面高度异常资料进行了分析,分析结果显示研究海域海面高度异常存在多时间尺度变化特征。1993—2013年期间,研究海域海面高度异常场存在明显的升高趋势,其升高速率为0.6 cm/a;研究海域海面高度异常存在显著的年际变化,其与Niño3.4指数的相关系数超前滞后相关最大可达0.65,且厄尔尼诺年偏高,拉尼娜年偏低;海面高度异常年周期变化显著海域主要受印尼贯穿流、印度洋南赤道流和Eastern Gyral Current(EGC)季节变化的影响,半年周期变化则对应于爪哇沿岸流与南赤道流共同作用下形成的涡旋的半年周期变化;另外,研究海域海面高度异常还存在显著的季节内变化特征。     

15年测高资料反演南海北部潮汐结果的分析

在调和分析的基础上,结合差比关系的运用,利用T／P和Jason-1卫星测高数据进行了南海北部潮汐状况的反演、分析。其中沿轨数据和交点数据的海面异常（SLA）样本标准差（STD）值计算表明,对于15年资料而言,潮汐分析结果已基本一致。对3年轨道改变后的T／P资料分析发现,运用差比分析的办法能使其分析精度有20％左右的提高,达到与15年资料相近的分析效果。最后文章将近岸的反演结果与实测值作了对比,得出在大多数地区（除水动力复杂区域外）,沿轨数据的反演水位与实测值的误差均值小于19cm,STD值小于14cm。     

Comparison of Sea Surface Heights Derived from Satellite Altimetry and from Ocean Bottom Pressure Gauges: The SW Pacific MOTEVAS Project

A bottom pressure gauge (BPG) was installed in proximity (3.7 km at closest approach) of Jason-1 and formerly TOPEX/Poseidon (T/P) ground track No. 238 at the Wusi site, located ∼ 10 km offshore off the west coast of Santo Island, Vanuatu, Southwest (SW) Pacific. Sea level variations are inferred from the bottom pressure, seawater temperature, and salinity, corrected for the measured surface atmospheric pressure. The expansion of the water column (steric increase in sea surface height, SSH) due to temperature and salinity changes is approximated by the equation of state. We compare time series of SSH derived from T/P Side B altimeter Geophysical Data Records (GDR) and Jason-1 Interim Geophysical Data Records (IGDR), with the gauge-inferred sea level variations. Since altimeter SSH is a geocentric measurement, whereas the gauge-inferred observation is a relative sea level measurement, SSH comparison is conducted with the means of both series removed in this study. In addition, high-rate (1-Hz) bottom pressure implied wave heights (H_1/3) are compared with the significant wave height (SWH) measured by Jason-1. Noticeable discrepancy is found in this comparison for high waves, however the differences do not contribute significantly to the difference in sea level variations observed between the altimeter and the pressure gauge. In situ atmospheric pressure measurements are also used to verify the inverse barometer (IB) and the dry troposphere corrections (DTC) used in the Jason IGDR. We observe a bias between the IGDR corrections and those derived from the local sensors. Standard deviations of the sea level differences between T/P and BPG is 52 mm and is 48 mm between Jason and BPG, indicating that both altimeters have similar performance at the Wusi site and that it is feasible to conduct long-term monitoring of altimetry at such a site.     

Comparison of Sea Surface Heights Derived from Satellite Altimetry and from Ocean Bottom Pressure Gauges: The SW Pacific MOTEVAS Project

A bottom pressure gauge (BPG) was installed in proximity (3.7 km at closest approach) of Jason-1 and formerly TOPEX/Poseidon (T/P) ground track No. 238 at the Wusi site, located ～ 10 km offshore off the west coast of Santo Island, Vanuatu, Southwest (SW) Pacific. Sea level variations are inferred from the bottom pressure, seawater temperature, and salinity, corrected for the measured surface atmospheric pressure. The expansion of the water column (steric increase in sea surface height, SSH) due to temperature and salinity changes is approximated by the equation of state. We compare time series of SSH derived from T/P Side B altimeter Geophysical Data Records (GDR) and Jason-1 Interim Geophysical Data Records (IGDR), with the gauge-inferred sea level variations. Since altimeter SSH is a geocentric measurement, whereas the gauge-inferred observation is a relative sea level measurement, SSH comparison is conducted with the means of both series removed in this study. In addition, high-rate (1-Hz) bottom pressure implied wave heights (H _1/3 ) are compared with the significant wave height (SWH) measured by Jason-1. Noticeable discrepancy is found in this comparison for high waves, however the differences do not contribute significantly to the difference in sea level variations observed between the altimeter and the pressure gauge. In situ atmospheric pressure measurements are also used to verify the inverse barometer (IB) and the dry troposphere corrections (DTC) used in the Jason IGDR. We observe a bias between the IGDR corrections and those derived from the local sensors. Standard deviations of the sea level differences between T/P and BPG is 52 mm and is 48 mm between Jason and BPG, indicating that both altimeters have similar performance at the Wusi site and that it is feasible to conduct long-term monitoring of altimetry at such a site.     

平均海平面模型的确立方法研究

针对平均海平面的定义,分别介绍了利用验潮站资料和卫星高度计资料确立平均海平面的方法原理,并对2种方法的特性及存在的问题进行了比较阐述,确定了以沿岸长期验潮站为控制条件,对卫星测高数据确定的高分辨率高精度的平均海平面网格模型进行改正,最终构建平均海平面与国家大地坐标系关系的研究方法.     

A New Methodology for Incorporating Tide Gauge Data in Sea Surface Topography Models

As part of the Vertical Offshore Reference Frames (VORF) project sponsored by the U. K. Hydrographic Office, a new model for Sea Surface Topography (SST) around the British Isles has been developed. For offshore areas (greater than 30 km from the coast), this model is largely derived from satellite altimetry. However, its accuracy and level of detail have been enhanced in coastal areas by the inclusion of not only the 60 PSMSL tide gauges with long-term records around the coasts of the United Kingdom and Ireland but also some 385 gauges established at different epochs and for different observation spans by the U. K. Admiralty. All tide gauge data were brought into a common reference frame by a combination of datum models and direct GPS observations, but a more significant challenge was to bring all short-term sea level observations to an unbiased value at a common epoch. This was achieved through developing a spatial-temporal correlation model for the variations in mean sea level around the British Isles, which in turn meant that gauges with long-term observation spans could be used as control points to improve the accuracy of Admiralty gauges. It is demonstrated that the latter can contribute point observations of mean sea level (MSL) with a precision of 0.078 m. A combination of least squares collocation and interpolation was developed to merge the coastal point and offshore gridded data sets, with particular algorithms having to be developed for different configurations of coastal topology. The resulting model of sea surface topography is shown to present a smooth transition from inshore coastal areas to offshore zones. Further benefits of the techniques developed include an enhanced methodology for detecting datum discontinuities at permanent tide gauges.     

中国近海海平面变化区域相关分析

由测高卫星升、降弧段海面高交叉点约束方法,用TOPEX／POSEIDON测高数据计算了黄海、东海、南海海域的海平面变化;分析了三个海区海平面变化的相关性;在频域内讨论了它们之间的相干性;分析了海水面积随纬度带的变化对不同纬度分布的海区海平面变化量的影响。