Global ocean tides from Geosat altimetry by Quasi-Harmonic analysis

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GNSS-R海面测高算法

研究了GNSS-R海面测高的原理和主要误差源,对测高中的两个关键算法进行了研究,包括利用梯度法直接从实测数据中计算镜点位置,利用非线性回归算法计算相关波形峰值点的位置,并在此基础上研究了散射延迟的问题。     

Jason-1 global statistical evaluation and performance assessment: Calibration and cross-calibration results

Since Jason-1launch, extensive validation of Jason-1 data and cross-calibration relative to TOPEX/Poseidon (T/P) have been performed by the CLS validation team within the CNES Jason-1 project. These validation activities are routinely operated as part of the Jason-1 ground segment, and often lead to in-depth studies to understand all validation conclusions. This paper presents the main results in terms of Jason-1 data quality: verification of data availability and validity, monitoring of the most relevant altimeter and radiometer parameters, assessment of the Jason-1 altimeter system performances. From global statistical analysis of more than 2 years of Jason-1 GDR data, results for all components of the altimeter measurement are derived in terms of bias, trend and precision. This work also represents a contribution to the estimation of the Jason-1 error budget. Thorough studies have been more focused on specific issues in relation to data quality: this is the case for the analysis of the high frequency content of the Jason-1 data and its impact on the T/P to Jason-1 comparison. From the results presented in this paper, it is demonstrated that the Jason-1 mission fulfils the requirements of high precision altimetry. In particular, it allows continuing the observation of the Mean Sea Level (MSL) variations at the same accuracy as T/P, which was one of the challenges of the Jason-1 mission. Potential improvements and open issues are also identified, with the objective of still making progress in terms of altimeter data quality.     

联合卫星测高和模式资料研究海水热含量变化

本文在考虑洋底压力变化的情况下,利用2003~2008年融合多颗卫星的测高资料估计了全球和中国近海的海水热含量变化.顾及洋底压力(OBP)变化以及热膨胀系数随海水深度变化的影响,提出的改进方法提高了对中高纬度地区热含量变化的估算精度.在OBP变化较为明显的北太平洋区域I(30°N~50°N,170°E~190°E)、南印度洋区域II(40°S~60°S,100°E~120°E)和南太平洋区域III(40°S~60°S,100°W~120°W),改进方法的均方差较传统方法分别降低了16.3%、60.5%和48.4%.同时研究表明,卫星测高的精度以及盐度变化是影响中高纬度地区热含量估计精度的重要因素.在中国近海地区,东海和黄海的热含量主要表现为周年变化;南海区域的热含量除周年变化外,还存在半周年项和年际变化项,且南海的海水热含量近年有增加的趋势.     

应用多种来源重力异常编制中国海陆及邻区空间重力异常图及重力场解读

本文通过分析陆地实测空间重力异常数据、海洋船载测量空间重力异常数据、卫星测高重力异常,布格重力异常数据、EGM2008地球重力模型数据等多种来源数据的性质和精度,并对相关数据进行对比,研究了编制1:500万中国海陆空间重力异常图的数据使用方案和技术方法.在地形较为平坦、实测数据分布均匀的陆区,使用实测数据,在地形复杂,实测数据稀少以及没有实测数据的陆区或岛屿,利用布格重力异常反推空间异常的方法合成平均空间重力数据,西藏地区的数据对比实验证明合成平均空间重力异常数据是一种有效的数据补充.利用三观测列方差分解法在南海地区对船载测量空间重力数据和美国SS系列及丹麦DNSC08GRA卫星重力数据进行了方差分解计算,结果表明不同来源的卫星测高重力数据具有很大的一致性,数据精度较以往有了很大的提高.海区空间重力数据使用原则是在船载重力测量数据校准下,全面使用卫星测高重力数据进行编图.海陆过渡区的异常处理应以EGM2008地球重力模型重力场为基准参考场,实现海陆异常平缓过渡,无缝连接.对中国海陆空间重力异常场进行了小波变换处理,对空间重力异常场进行了解读,勾画出三横四竖的一级重力梯级带及其所围限的8个一级重力异常区,并划分了二级重力异常区和梯级带,为块体构造学体系中大地构造格架的建立提供了地球物理证据.     

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利用多代卫星测高数据反演海洋重力异常及大地水准面

联合多代卫星测高数据,研究并实现了多种测高数据联合交叉点平差方法,削弱了数据内部系统性偏差;采用沿轨迹加权最小二乘方法,选取适当的搜索半径,确定了浙江近海剩余垂线偏差子午分量ξ和卯酉分量η;基于移去 恢复方法和FFT技术,利用剩余垂线偏差,考虑最内圈带的影响,选取适当的积分半径,反演得到了浙江近海高分辨率的重力异常模型和大地水准面模型;将浙江近海重力异常与船测重力进行比较,差值的均方根为±5.231 58 mGal;将浙江近海大地水准面与EGM96及EGM2008模型大地水准面进行比较,差值的均方根分别为±0.694 57 m及±0.029 51 m。     

基于卫星测高与卫星测温的表层流产品生成方法应用评估

提高海洋表层流的精度与分辨率对于相关应用领域至关重要.研究引入海表面温度(sea surface temperature,SST)信息对高度计导出流场的改进效果,计算了 2018年每日无间隔的全球海洋表层流速度.通过增加热量守恒方程约束,引入卫星测温产品,在地转流基础上生成表层流产品,并与现场漂流浮标速度比较,评估了使...     

Persian gulf and Oman sea tide modeling using satellite altimetry and tide gauge data (TM-IR01)

Satellite altimetry observations and tide gauge data are invaluable tools to diagnose and resolve tidal constituents over the Oceans and Seas. The aim of this study is to introduce a new purely empirical tide model named TM-IR01 in the Persian Gulf, Oman Sea, and North Indian Ocean. The observations of three altimeter sensors including TOPEX/POSIDON, JASON1, and JASON2 and 13 coastal tide gauge (TG) stations are processed and analyzed in this research. First of all, the least square spectral analysis is utilized to recover the significant tide components and consequently the amplitude and phases of the constituents are found during the tide modeling. Finally, the analysis results are interpolated into a grid of 1/4° using the Kriging method. TM-IR01 model is validated by comparing with TG stations and global tide models. It is shown that for main tidal frequencies M2, S2, K1, and O1 the root mean square error (RMSE) between TM-IR01 and TG stations results are 0.372, 0.130, 0.141, and 0.084?m, respectively, and also the RMSE between TM-IR01 and FES2004 models are 0.231, 0.087, 0.027, and 0.042?m, respectively. Validating with FES2012 and Tpxo7.2, the results obtained are close to the above values.     

Altimetry-observed semi-annual cycle in the South China Sea: Real signal or alias of K1 tidal error?

There have been a number of applications of satellite altimetry to seasonal and interannual sea level variability in the South China Sea. However, these applications usually exclude shallow waters along the coast, with one of the concerns being large aliased tide-correction error. In this study the authors analyzed 14 years of merged satellite altimeter data to obtain the amplitude and phase of the semi-annual cycle and to examine the variation at the K1 alias frequency (close to the semi-annual frequency). The results indicate that the amplitude of the semi-annual cycle ranges from 3-7 cm, substantial compared with that of the annual cycle; while the amplitude at the K1 alias frequency (error of the K1 tidal correction) is essentially 1 cm only. Altimeter–derived semi-annual cycle is in good agreement with that from independent tide-gauge observations, pointing to the competent ability of satellite altimetry in observing semi-annual sea level variations in the South China Sea.