Comparison of the Ku-Band Range Noise Level and the Relative Sea-State Bias of the Jason-1, TOPEX,and Poseidon-1 Radar Altimeters Special Issue: Jason-1 Calibration/Validation

TOPEX/Poseidon is a well known success, with the operational altimeter (TOPEX) and the experimental one (Poseidon-1), providing data of unprecedented quality. However, there are two major differences between the TOPEX and Poseidon-1 radar altimeters on board TOPEX/Poseidon. The first is related to the estimated range noise; the second is linked to the sea-state bias (SSB) model estimates. Since the recent launch of the Jason-1 radar altimeter (also called Poseidon-2), we have been cross-comparing these three systems to better characterize each of them. Analyzing standard user products, we have found that Jason-1 is behaving like Poseidon-1 and thus shows the same observed differences when compared with TOPEX. A comparative analysis of their features was performed, starting from the on-board acquisition of the ocean return and ending with the ground generation of the high level accuracy oceanographic product. The results lead us to believe that the sources for these differences lie in both the waveform tracking processing and the presence or abscence of a retracking procedure whether on-board or on ground. Because Poseidon-1 and Jason-1 waveforms are retracked while TOPEX waveforms are not in the products distributed to the users, we have applied the same ground retracking algorithm to the waveforms of the three radar altimeters to get consistent data sets. The analysis of the outputs has shown that: (a) the noise level for the three radar altimeters is definitively the same, and (b) the source of the relative SSB between Jason-1 and TOPEX lies in the different behavior of the on-board tracking softwares.     

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Improved estimators of correlation and R2 for skewed hydrologic data

ABSTRACT

The coefficient of determination R² and Pearson correlation coefficient ρ = R are standard metrics in hydrology for the evaluation of the goodness of fit between model simulations and observations, and as measures of the degree of dependence of one variable upon another. We show that the standard product moment estimator of ρ, termed r, while well-behaved for bivariate normal data, is upward biased and highly variable for bivariate non-normal data. We introduce three alternative estimators of ρ which are nearly unbiased and exhibit much less variability than r for non-normal data. We also document remarkable upward bias and tremendous increases in variability associated with r using both synthetic data and daily streamflow simulations from 905 calibrated rainfall–runoff models. We show that estimators of ρ = R accounting for skewness are needed for daily streamflow series because they exhibit high variability and skewness compared to, for example, monthly/annual series, where r should perform well.     

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RTK技术在老挝甘蒙省钾盐矿勘查区地形图修测中的应用

以老挝人民民主共和国甘蒙省钾盐矿勘查区1∶50000地形图修测项目实例,介绍GPS RTK技术的基本原理和工作流程,总结出这种技术的优势所在以及实践操作中应该注意到的问题。     

附加GIM约束的全球电离层建模

针对目前地基GNSS台站在全球分布不均匀,导致南半球海洋和中高纬地区出现与实际不符的VTEC为负值的问题,利用IGS前1 d的最终GIM作为虚拟观测值对TEC可能为负值的地区进行约束,结合GNSS数据建立全球电离层模型(称为SGG模型),并用2014年200多个IGS台站数据对模型进行验证。结果表明,各台站VTEC的RMS优于3 TECu(赤道异常区域RMS在5~7 TECu)。同时SGG能有效消除南半球海洋(40°~90°S)VTEC为负的情况,且对原有非负VTEC几乎没有影响(其变化小于2 TECu)。SGG的卫星DCB与CODE 相比,RMS和MEAN分别优于0.2 ns和0.04 ns,不同纬度带SGG与CODE的接收机DCB估值变化基本一致,两者之差基本在1 ns以内。     

最优非负变权组合模型在卫星钟差预报中的应用

针对单一卫星钟差预报模型自身存在的缺陷,提出基于二次多项式、灰色GM（1,1）和ARIMA等三种单一模型的最优非负变权组合预报模型。通过与各单一模型和经典权组合模型进行对比分析表明,该模型预报残差RMS值最小,精度更高,能够根据各模型预报效果赋予不同的权值,在一定程度上综合了多种单一模型的优点,可降低预报风险,提高模型预报的可靠性。     

基于GNSS和SLR观测数据的北斗卫星(GEO/IGSO)精密定轨

研究了联合GNSS和卫星激光测距（satellite laser ranging,SLR）观测数据对北斗卫星定轨精度的影响。仅利用GNSS观测值对北斗卫星进行定轨时,C01、C08和C10卫星的SLR检核结果显示,这3颗卫星的SLR残差均存在一定的偏差且不相同。加入SLR观测值联合定轨时,分别对估计和不估计系统偏差的卫星轨道结果进行分析。结果显示,对C01（GEO）卫星加入SLR观测值时必须引入系统偏差,否则会使轨道偏离;C08和C10（IGSO）卫星估计和不估计系统偏差时对预报轨道的精度均有一定的改善。最后统计了这3颗卫星的系统偏差,C01卫星的系统偏差达到50 cm,C08和C10卫星的系统偏差在5 cm以内。     

平度市国土资源局全面推进“双保”行动的探索

为应对国际金融危机,平度市国土资源局积极响应国土资源部在全国范围内部署开展的"保增长、保红线"双保行动,立足部门职能,扎实工作,加强和改善土地宏观调控新机制,有效保障扩大内需,保障重点项目用地,促进经济平稳较快发展。     

风沙运动中MAGNUS效应的数值研究

在风沙运动中,跃移沙粒一般都会伴随高速旋转,同时引起一种升力效应,即Magnus效应。采用数值模拟的方法计算了0.1Re400,转速ω为100~1000 rev.s-1范围时均匀来流中单个球形沙粒受到的Magnus力,并与Rubinow和Keller推导的Magnus力公式进行了比较。计算结果表明,在0.1Re200范围内,升力和沙粒的旋转速度成正比,随雷诺数的增大而减小。同时,Magnus效应和固定沙粒在均匀来流中的流动结构也有关系,即计算结果和Magnus力公式的升力系数比K在沙粒流动是附体的时随Re数增加逐渐减小,在Re=20~30时达到最小值,然后在沙粒流动是对称分离的时K随着Re数增加逐渐增大。当雷诺数继续增大到超过200时,沙粒本身流动状态非对称所引起的升力超过Magnus效应产生的升力,但Magnus效应的作用也不可以忽略。根据计算结果,对Magnus力公式进行了修正。另外,还发现流场速度梯度与Magnus效应并没有耦合作用,速度梯度对升力的影响可以和Magnus效应线性叠加。