GPS／BeiDou 组合单点定位的定权与结果分析

利用Helmert方差分量估计方法为GPS/BeiDou组合单点定位不同系统观测值定权,获得了合理的权值。分析了开阔环境和遮挡环境两种情况下的动态GPS/BeiDou组合单点定位的精度。结果表明：在静态观测和动态观测中,组合单点定位与单独G PS单点定位相比精度有显著提高。     

Improved initial sampling for the ensemble Kalman filter

In this paper, we discuss several possible approaches to improving the performance of the ensemble Kalman filter (EnKF) through improved sampling of the initial ensemble. Each of the approaches addresses a different limitation of the standard method. All methods, however, attempt to make the results from a small ensemble as reliable as possible. The validity and usefulness of each method for creating the initial ensemble is based on three criteria: (1) does the sampling result in unbiased Monte Carlo estimates for nonlinear flow problems, (2) does the sampling reduce the variability of estimates compared to ensembles of realizations from the prior, and (3) does the sampling improve the performance of the EnKF? In general, we conclude that the use of dominant eigenvectors ensures the orthogonality of the generated realizations, but results in biased forecasts of the fractional flow of water. We show that the addition of high frequencies from remaining eigenvectors can be used to remove the bias without affecting the orthogonality of the realizations, but the method did not perform significantly better than standard Monte Carlo sampling. It was possible to identify an appropriate importance weighting to reduce the variance in estimates of the fractional flow of water, but it does not appear to be possible to use the importance weighted realizations in standard EnKF when the data relationship is nonlinear. The biggest improvement came from use of the pseudo-data with corrections to the variance of the actual observations.     

协因数阵秩亏时扩建网极大条件密度估计的精度

作者曾〔3〕推导了当联系参数函数不独立时,扩建网极大条件密度估计的等价法方程和参数的协因数矩阵。在其基础上,本文作者继续推导单位权方差因子的估计公式。     

1960-2009年辽宁冬季风寒温度时空变化特征

基于1960-2009年辽宁省52个气象站气象资料,采用风寒温度计算公式和适合辽宁地区的分级标准并分类,得出50 a历年各类别风寒温度日数。使用旋转经验正交分解法（REOF）,分别针对各类别风寒温度日数进行区域划分,并分析了其空间分布和变化趋势。结果表明：辽宁省可按4个风寒温度类别分别分区,凉爽至轻度风寒可分为4个区域,而轻度、中度及重度风寒可分为3个区域;辽宁省辽东半岛五个地市所在地理区域为易患风寒日数最少的地域,辽宁北部、东北部五个地市为易患风寒日数最多的地域;辽宁地区各风寒类别所在划分区域的日数变化相位基本一致;年平均易患风寒日数总体变化趋势是在1986年发生一次突变,在1960-1985年相对偏多,1986-2009年相对偏少。     

青藏高原东坡理塘地区近地层湍流特征研究

利用中国气象局成都高原气象研究所在青藏高原东坡理塘地区建立的大气综合观测站观测资料, 以2006年1月和7月涡旋相关资料分别代表冬季和夏季, 分析和比较了该地区近地层包括风速、 风向、 大气稳定度在内的平均场特征, 以及湍流强度、 无量纲化风脉动方差相似性和地表通量变化特征,结果表明, 1月和7月稳定度基本集中在±0.5和±0.25之间; 湍流在<2 m·s-1的风速环境中发展最为旺盛, 随着风速的增大湍流强度减小迅速; 无量纲化三维风脉动方差符合Monin-Obukhov相似理论的“1/3”定律, 其最佳通用相似函数在稳定和不稳定条件下都可以拟合得到; 地表通量均表现出明显的日变化特征, 1月以感热为主, 潜热很小; 7月以潜热为主, 感热较小。     

Development of a diatom-based model for inferring total phosphorus in southeastern Australian water storages

Diatom-based transfer functions for inferring epilimnetic total phosphorus (TP) have been developed from a data set of 33 southeastern Australian water storages. Regular institutional monitoring of these sites has allowed comparison of models developed from TP data covering different time periods. A model based on mean annual TP performs better than models derived from winter maximum TP, spring minimum TP or TP nearest the time of diatom sampling. A mean annual TP model (WA-PLS 2 component) has a jack-knifed diatom-inferred versus measured TP correlation coefficient (r ² _jack) of 0.69 and a root-mean-square-error of prediction (RMSEP) of 0.246 log₁₀g TP l^–1, while alternative models have RMSEP > 0.27. Deletion of two samples with uncharacteristic species composition and environmental conditions improved performance of the mean annual TP model (r ² _jack= 0.74; RMSEP = 0.233 log₁₀g TP l^–1). Comparison with other published diatom-TP calibration models indicates that this model performs relatively well, with possible contributing factors including the extensive characterisation of TP (with an average 15 determinations making up the annual mean) and the dominance of planktonic diatoms in most sites. Downcore application of the model will allow the reconstruction of reservoir nutrient histories since commissioning, and thus provide a basis for understanding and management of reservoirs.     

背景误差水平相关结构对四维变分资料同化的影响研究

为考察GRAPES全球四维变分同化(4DVar)的分析增量在谱空间的时间演变特征,分析当同化时间窗起始时刻与终止时刻背景误差水平相关特征明显不一致时对分析与预报造成的影响,对GRAPES全球4DVar的背景误差水平相关采用二阶自回归模型(SOAR)、集合资料同化生成扰动样本估计的水平相关模型以及基于这两者的背景误差谱空间融合模型进行比较。结果表明,SOAR的分析增量在20波以上的天气尺度波动的分析信息明显不足,而将集合资料同化样本所计算的水平相关的功率谱方差与SOAR功率谱方差进行融合,水平相关特征呈现出多尺度水平相关的特点,可以更好地吸纳观测信息,显著改善北半球形势场、温度与风场预报效果,南半球也有改善,对赤道地区的影响中性。表明研究发展的融合水平相关方案合理、实用。     

中国夏季雨带类型的影响因子分布及预报研究

应用方差分析的方法,利用１９５１～１９９５年前期（１～４月）北半球５００ｈＰａ、１０００ｈＰａ高度场,１０００～５００ｈＰａ厚度场,及太平洋海温场的资料,研究了对中国夏季（６～８月）雨带类型变化影响较大的大气环流场、厚度场和海温场的区域分布,并在此基础上利用逐步判别的方法建立了中国夏季雨带类型的判别方程,探讨了入选因子的物理意义．     

ISO2002: an analytical stochastic model of multi-difference GPS carrier-phase data

The differencing technique is useful in global positioning system (GPS) positioning when two or more GPS receivers collect simultaneous observables from common satellites at each epoch, and all carrier-phase observables have the same normal distribution. An analytical probability distribution of the single-, double-, triple- and multi-difference GPS observables is obtained. This analytical model, called ISO2002, has a good matrix structure, in which I indicates the number of receivers, S indicates the number of observed satellites, and O indicates the number of epochs. The variance–covariance matrix can be expressed as the Kronecker product of several small matrices, so its inverse is equal to the Kronecker product of the inverses of these sub-matrices. Moreover, these small matrices are circulant or symmetric diagonal Toeplitz matrices, so their inverses have analytical solutions. The analytical model ISO2002 proposed to compute the inverse variance–covariance matrix is shown to be very effective.     

Minimum mean squared error (MSE) adjustment and the optimal Tykhonov–Phillips regularization parameter via reproducing best invariant quadratic uniformly unbiased estimates (repro-BIQUUE)

In a linear Gauss–Markov model, the parameter estimates from BLUUE (Best Linear Uniformly Unbiased Estimate) are not robust against possible outliers in the observations. Moreover, by giving up the unbiasedness constraint, the mean squared error (MSE) risk may be further reduced, in particular when the problem is ill-posed. In this paper, the α-weighted S-homBLE (Best homogeneously Linear Estimate) is derived via formulas originally used for variance component estimation on the basis of the repro-BIQUUE (reproducing Best Invariant Quadratic Uniformly Unbiased Estimate) principle in a model with stochastic prior information. In the present model, however, such prior information is not included, which allows the comparison of the stochastic approach (α-weighted S-homBLE) with the well-established algebraic approach of Tykhonov–Phillips regularization, also known as R-HAPS (Hybrid APproximation Solution), whenever the inverse of the “substitute matrix” S exists and is chosen as the R matrix that defines the relative impact of the regularizing term on the final result. The delay in publishing this paper is due to a number of unfortunate complications. It was first submitted as a multi-author paper in two parts. Due to some miscommunication among the original authors, it was reassigned to one of the J Geod special issues, but later reassigned at this author’s request to a standard issue of J Geod. This compounded with a difficulty to find willing reviewers to slow the process. We apologize to the author.