高度计大气温度校正的方法及其应用分析

大气中水汽造成的路径延迟的测量误差是目前卫星高度计存在误差的重要原因,这种误差对高度计算数据的分析应用产生很大的影响。介绍了高度计大气工校正的２种方法,并对它们的结果做了比较。最后分析了大气温度校正对高度计数据应用的影响。     

高度计卫星定轨精度对其测高数据在海洋应用中的影响

卫星测高术是７０年代发展起来的一项新技术，到目前为止国外已陆续发射了七颗载有高度计的卫星。高度计卫星定轨的精度对测高数据的应用有很大影响．本文概述了卫星高度计测高数据在海洋应用上的一些结果、影响轨道的因素、测轨方法和轨道精校正方法。最后根据现有卫星轨道校正数据得到卫星轨道误差与校正精度的关系式，据此分析了轨道计算误差对卫星高度计测高数据在海洋应用中的影响     

高度卫星定轨精度对其测高精度数据在海洋应用中的影响

卫星测高术是７０年代发展起来的一项新技术，到目前为止国外已陆续发射了七颗载有高度计的卫星，高度计卫星定轨的精度对测高数据的应用有很大影响，本文概述了卫星高度计测高数据在海洋应用上的一些结果、影响轨道的因素、测轨方法和轨道精校正方法，最后根据现有卫星轨道校正数据得到卫星轨道误差与校正精度的关系式，据此分析了轨道计算误差地卫星高度计测高数据在海洋应用中的影响。     

基于NCEP数据进行高度计湿对流层校正的探讨

为达到高度计几厘米测高精度,湿对流层校正范围为3~45 cm,精确计算湿对流层校正是至关重要的。本文利用美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)数据,采用模型法计算高度计湿对流层校正。计算结果与无线电探空仪计算结果比较,偏差为0.01 cm,均方根为2 cm;与Jason-1模型法湿对流层校正产品比较,偏差为0.2 cm,均方根为1.4 cm。因此,利用NCEP数据计算高度计湿对流层校正精度较高,能够满足高度计大气湿对流层校正精度要求。为高度计大气湿对流层校正的计算提供1种新方法。     

风廓线雷达联合RASS监测海岸带大气湿度的方法研究

海岸带湿度对人类生产生活有较大影响。文章根据风廓线雷达和RASS(Radio Acoustic Sounding System)测量湿度的相关理论,结合实测数据计算某海滨观测站个例的大气湿度分布,并与探空数据进行比对,分析误差及其原因。结果表明:风廓线雷达联合RASS测量湿度的方法得到的湿度结果与常规探测结果较为接近,可进一步研究实现其监测海岸带大气湿度的业务化应用。     

中国近岸海域高度计JASON-1测量数据的波形重构算法研究

卫星雷达高度计的测量数据目前已被广泛应用于各个领域,但高度计在近海的测量数据却一直不可用,一方面是因为高度计在近岸海域的回波波形测量受陆地回波的影响,另一方面是因为一些校正量对近海不准确,如大气湿对流层校正、海洋潮汐校正以及大气高频因数校正等。通过对高度计在近海测量的回波波形进行重构处理,可以缩短近海数据不可用的距离,提高数据的数量和质量。以我国海域及邻近海域(14°~45°N,105°~130°E)为研究区域,采用四种波形重构算法(海洋算法、重力中心偏离算法、冰层算法二和阈值算法)对JASON-1高度计1 a共31个周期的测量波形重新进行了计算,比较了轨道交叉点处升轨和降轨的海面高度异常值以及海面高度值与验潮站的实测水位,结果表明重力中心偏离法比其他三种算法更适合我国近海的测高波形重构:计算结果精度最高,有效数目最多。     

基于成像高度计数据的系统姿态误差估计

本文基于平台高度误差、基线倾角误差与海面测高误差之间的理论关系,结合成像高度计测量数据和最小二乘理论,提出了一种平台高度误差和基线倾角误差的估计方法,并对不同海况条件,通过仿真分析,评估海浪因素的影响。结果表明,该方法可有效估计成像高度计系统姿态误差。     

高度计风速反演算法比较及波浪周期反演初探

利用浮标实测数据和TOPEX/Poseidon高度计资料的时空配准数据,对迄今为止已提出的有代表性的7种卫星高度计海面风速反演模式函数进行了分析比较,指出考虑波浪状态影响的解析算法在均方根误差和对称性方面的优越性,讨论了目前在波浪周期反演方面存在的问题以及可能的解决途径.     

利用西北印度洋船测数据评估基于卫星的海表面温度

本文描述了一次夏季在西北印度洋进行的调查船水文测量,用船测数据评估卫星海面表温度,并寻找影响海表面温度误差的主要因素。我们考虑了两种卫星数据,第一种是微波遥感产品——热带降雨测量任务微波成像仪TMI数据,另外一种是融合了微波,红外线,以及少部分观测数据的融合数据产品——可处理海表温度和海冰分析OSTIA数据。结果表明融合数据的日平均海表面温度的平均误差和均方根误差都比微波遥感小。这一结果证明了融合红外线遥感,微波遥感以及观测数据来提高海表面温度数据质量的必要性。此外,我们分析了海表面温度误差与各项水文参数之间的相关关系,包括风速,大气温度,想对湿度,大气压力,能见度。结果表明风速与TMI海表面温度误差的相关系数最大。而大气温度是影响OSTIA海表面温度误差最重要的因素;与此同时,想对湿度与海表面温度误差的相关系数也很高。     

神舟四号高度计波形数据预处理和信息提取

神舟四号(SZ-4)高度计在国内首次提供了星载雷达高度计回波波形数据.本文中作者分析了SZ-4高度计回波波形的特点,完成波形数据的预处理,并在此基础上完成初步的信息提取.在数据预处理方面,通过SZ-4高度计水陆边界处波形的特点,提出了波形最大幅度控制的方法,筛选回波波形.在波形归一化处理过程中,发现SZ-4高度计波形中存在双峰现象,并指出第二个峰为异常波形区.在波形信息提取方面,利用波形重新跟踪得到的半功率点计算出SZ-4高度计高度跟踪补偿误差,并根据高度计天线指向角和回波波形下降沿斜率之间的关系,从波形后沿提取天线指向角信息.分析结果表明,SZ-4高度计天线指向比较平稳,而跟踪补偿由于变化较大,在计算海面高度时,应作为一项误差源被考虑到.     

On the hydrodynamic correction of SEASAT altimeter data (Hudson bay area of Canada)

Abstract

The SEASAT Geophysical Data Record (GDR) file includes a number of corrections for instruments, atmospheric effects, coastal effects, and geophysical effects. However, the transient sea surface variation due to the ocean circulation and wind surge is not implemented. In this research an interactive numerical scheme, based on the vertically integrated hydrodynamic equations, is developed to make this correction. Since the exactness of the transient sea surface depends upon the exactness of the input meteorological data, a method is also developed for extracting surface wind speed and direction from weather charts for the interactive hydrodynamic numerical algorithm.

The application of the algorithm over the Hudson Bay of Canada demonstrates that this technique can easily be applied to any regional altimeter data over a water‐covered area. The resulting transient sea surface profiles and the comparisons between wind fields derived from the weather charts and altimeter inferred wind fields over Hudson Bay for revolution numbers 559, 564, and 574 are presented.     

海浪成长状态对TOPEX/Poseidon高度计风速反演的影响

以墨西哥湾同步高度计、浮标资料为例,研究了海浪成长状态对高度计风速反演的影响。同步的高度计风速和浮标风速比较显示,在墨西哥湾地区,海浪成长状态对高度计风速反演有较大影响。在考虑海浪成长状态影响的条件下,利用谱模型反演高度计风速,取得了较好的效果。与目前TOPEX/Poseidon高度计风速反演业务化算法相比,在海浪未充分成长条件下,考虑海浪成长状态影响后,根据谱模型反演获得的风速与浮标风速之间的均方根误差减小了30%,平均误差减小了83%。在利用谱模型算法反演高度计风速时,谱模型中的波龄因子(表示海浪成长状态)可以根据高度计测得的有效波高和风速获得,因此该方法具有广泛的适用性。     

Assessment of reprocessed sea surface height measurements derived from HY-2A radar altimeter and its application to the observation of 2015–2016 El Ni?o

Haiyang-2A(HY-2A) is China's first ocean dynamic environment satellite and the radar altimeter is one of its main payloads. One of the main purposes of the radar altimeter is to measure the sea surface height(SSH). The SSH determined from the altimeter range measurements includes some range and geophysical corrections. These corrections largely affect the accuracy of the SSH measurements. The range and the geophysical corrections are reprocessed and the altimeter waveforms in HY-2A sensor interim geophysical data set records(S-IGDR) are retracked from June 1, 2014 to June 14, 2014, and the accuracy of the reprocessed SSH measurements is evaluated.The methods of the range and geophysical corrections used to reprocess HY-2A altimeter data are validated by using these methods to reprocess the Jason-2 range and geophysical corrections and comparing the results with the range and geophysical corrections in Jason-2 geophysical dataset records(GDR) product. A crossover analysis is used to evaluate the accuracy of the reprocessed HY-2A SSH measurements. The standard deviation(STD) of the crossover SSH differences for HY-2A is around 4.53 cm while the STD of the SSH differences between HY-2A and Jason-2 is around 5.22 cm. The performance of the reprocessed HY-2A SSH measurements is significantly improved with respect to the SSH measurements derived from HY-2A interim geophysical dataset records(IGDR)product. The 2015–2016 El Ni?o has been the strongest El Ni?o event since 1997–1998. The range and the geophysical corrections in HY-2A IGDR are reprocessed and sea level anomalies are used to monitor the2015–2016 El Ni?o. The results show that the HY-2A altimeter can well observe the 2015–2016 El Ni?o.     

时空窗口对HY-2有效波高产品检验影响模拟研究

时空窗口的选择是卫星高度计有效波高产品检验的主要影响因素。采用Monte Carlo(MC)数学模拟的方法 ,研究了时空窗口对HY-2高度计有效波高检验的影响,并采用现场浮标测量数据验证了MC模拟的可靠性。MC模拟结果表明,采用浮标测量数据对HY-2高度计有效波高检验时,必须分海况选取对应的最优空间窗口进行,并给出不同海况下的最优的时空窗口。对于高海况需采用小的空间窗口,在1 m,2 m,3 m,4 m有效波高的海况下,其理想的时空窗口为0 min,117 km,30 km,18 km和13 km。     

Mean sea level determination from satellite altimetry

The primary experiment on the Geodynamics Experimental Ocean Satellite‐3 (GEOS‐3) is the radar altimeter. This experiment's major objective is to demonstrate the utility of measuring the geometry of the ocean surface, i.e., the geoid. Results obtained from this experiment so far indicate that the planned objectives of measuring the topography of the ocean surface with an absolute accuracy of ±5 m can be met and perhaps exceeded. The GEOS‐3 satellite altimeter measurements have an instrument precision in the range of ±25 cm to ±50 cm when the altimeter is operating in the “short pulse”; mode. After one year's operations of the altimeter, data from over 5,000 altimeter passes have been collected. With the mathematical models developed and the altimeter data presently available, mapping of local areas of ocean topography has been realized to the planned accuracy levels and better. This paper presents the basic data processing methods employed and some interesting results achieved with the early data. Plots of mean sea surface heights as inferred by the altimeter measurements are compared with a detailed 1^o × 1° gravimetric geoid.     

Jason-1 Altimeter Ground Processing Look-Up Correction Tables

Poseidon-2 is the dual frequency radar altimeter embarked on the CNES/NASA oceanographic satellite Jason-1 that was launched on 7 December 2001. The primary objective of the Jason-1 mission is to continue the high accuracy time series of altimeter measurements that began with TOPEX in 1992. To achieve this goal, it is necessary to improve each component of the ground processing continually. Among these components are the look-up correction tables that are used to correct the estimations (range, significant waveheight, and sigma naught) issued from the retracking algorithms (on-board and ground). Look-up tables were first computed taking into account the prelaunch characteristics of the altimeter. They have to be updated to take into account better all the in-flight characteristics of the altimeter and all the updated ground algorithms that can impact the estimation process. The aim of this article is to describe the radar altimeter simulator of performances that has been used to compute look-up tables, to display the freshly computed look-up tables, and to discuss the consequences of these new corrections on the products provided to the users. The updated look-up correction tables allow improvement of SWH estimation, in particular with respect to TOPEX SWH data. It is also shown that no range dependency on SWH has to be looked for in these tables, and that the on-board TOPEX and Poseidon-2 tracking systems may contain the differences explaining the relative sea state bias between both altimeters.     

Jason-1 Altimeter Ground Processing Look-Up Correction Tables

Poseidon-2 is the dual frequency radar altimeter embarked on the CNES/NASA oceanographic satellite Jason-1 that was launched on 7 December 2001. The primary objective of the Jason-1 mission is to continue the high accuracy time series of altimeter measurements that began with TOPEX in 1992. To achieve this goal, it is necessary to improve each component of the ground processing continually. Among these components are the look-up correction tables that are used to correct the estimations (range, significant waveheight, and sigma naught) issued from the retracking algorithms (on-board and ground). Look-up tables were first computed taking into account the prelaunch characteristics of the altimeter. They have to be updated to take into account better all the in-flight characteristics of the altimeter and all the updated ground algorithms that can impact the estimation process. The aim of this article is to describe the radar altimeter simulator of performances that has been used to compute look-up tables, to display the freshly computed look-up tables, and to discuss the consequences of these new corrections on the products provided to the users. The updated look-up correction tables allow improvement of SWH estimation, in particular with respect to TOPEX SWH data. It is also shown that no range dependency on SWH has to be looked for in these tables, and that the on-board TOPEX and Poseidon-2 tracking systems may contain the differences explaining the relative sea state bias between both altimeters.     

A Subwaveform-Based Retracker for Multipeak Waveforms: A Case Study over Ukai Dam/Reservoir

Retracking altimeter waveforms over inland water bodies is a challenging task as a wide range of waveform is encountered while the retracking algorithms are available only for a handful of echo shapes. One such waveform shape widely encountered in lakes and reservoirs is the multipeak echo. These echoes are produced when the interacting surface in the altimeter footprint is not homogeneous and a number of different types of surfaces contribute to the resulting waveform. The widely used conventional retrackers, namely the Brown, Beta-5, Ice-2, OCOG, and threshold, can retrack a number of different waveform shapes such as the Brown like waveforms, specular waveforms, and rectangular waveforms but may not perform well for multipeak waveforms. In this article, a technique has been demonstrated to identify the different subwaveforms within a multipeak waveform and identify the subwaveform corresponding to the target at nadir. The subwaveform that is reflected from the nadir surface is identified from apriory information about the surface topography of the area. The subwaveform is then retracked using the 50% threshold to find the correct retracked range and water height. This technique has been tested for nine cycles of SARAL SIGDR data on Ukai reservoir, Gujarat, India, and found to perform much better than the other retrackers, particularly for multipeak waveforms.     

Use of SARAL/AltiKa Observations for Modeling River Flow

In the absence of many gauging stations in the major and mighty river systems, there is a need for satellite-based observations to estimate temporal variations in the river water storage and associated water management. In this study, SARAL/AltiKa application for setting up hydraulic model (HEC-RAS) and river flow simulations over Tapi River India has been discussed. Waveform data of 40 Hz from Ka band altimeter has been used for water levels retrieval in the Tapi river. SARAL/AltiKa retrieved water levels were converted to discharge in the upstream location (track-926) using the rating curve available for the nearby gauging site and using linear spatial interpolation technique. Steady state simulations were done for various flow conditions in the upstream. Validation of river flow model was done in the downstream location (track-367) by comparing simulated and altimeter retrieved water levels (RMSE 0.67 m). Validated model was used to develop rating curve between water levels and simulated discharge for the downstream location which enables to monitor discharge variations from satellite platform in the absence of in situ observations. It has been demonstrated that SARAL/AltiKa data has potential for river flow monitoring and modeling which will feed for flood disaster forecasting, management and planning.