利用高精度全站仪实现跨河水准测量的可靠性分析     

雷建生  李金沐 《现代测绘》2011,34(2):47-48

从实际实施跨河水准测量的两种方法所得结果精度的比较,并利用三角高程测量单向观测的高差计算公式及对跨河水准测量的高差中数中误差进行的估算,验证了利用高精度全站仪实现高精度跨河水准测量的可靠性。  相似文献   

DMC数码航摄区域网布点方案探讨     

王小准 《地理空间信息》2011,(4):109-110,113

相片控制测量是航空摄影测量的基础工作,传统航空摄影控制测量有成熟的作业方法和相应的技术标准和规范,而DMC航空摄影控制测量还没有制定相应的技术标准或规范,特别是在中小比例成图的应用中,更是一个空白。根据DMC航空摄影资料的特点和1：10 000地形图成图的精度要求,通过实例研究,总结区域网布点方案的规律性。  相似文献   

全站仪坐标导线的施测与平差探讨     

赵琴霞  法维刚 《测绘与空间地理信息》2011,34(5):242-245

提出了全站仪坐标导线外业施测时的检核方法和内业几种严密平差方法。  相似文献   

几种建立DEM模型插值方法精度的交叉验证   总被引：5，自引：0，他引：5  

顾春雷  杨漾  朱志春 《测绘与空间地理信息》2011,34(5):99-102

建立DEM模型时需要对离散的高程点进行空间插值,实现这一目的的插值方法有很多种。文章主要选择了6种常用的插值方法,分别在平原、丘陵和高山几种不同复杂程度的环境下对其插值的精度使用交叉验证方法进行评估。结果表明,同样的插值方法对不同复杂程度的地形效果是不一致的,多种插值方法中以克里金插值方法的插值适用性最强,精度最高。  相似文献   

GPS天线相位转绕误差及其对GPS精密单点定位的精度影响分析     

许承权  范千  杜刚 《测绘与空间地理信息》2011,34(5):1-2,5

对于GPS精密单点定位,天线相位转绕误差无法通过星间求差法消除或者减弱,因此必须通过适当的模型加以改正。本文详细分析该误差的特性及其改正方法,并采用自编软件通过计算实例分析其对GPS精密单点定位的精度影响。  相似文献   

Improvement in Background Error Covariances Using Ensemble Forecasts for Assimilation of High-Resolution Satellite Data     

Seung-Woo LEE  Dong-Kyou LEE 《大气科学进展》2011,28(4):758-774

Satellite data obtained over synoptic data-sparse regions such as an ocean contribute toward improving the quality of the initial state of limited-area models. Background error covariances are crucial to the proper distribution of satellite-observed information in variational data assimilation. In the NMC (National Meteorological Center) method, background error covariances are underestimated over data-sparse regions such as an ocean because of small differences between different forecast times. Thus, it is necessary to reconstruct and tune the background error covariances so as to maximize the usefulness of the satellite data for the initial state of limited-area models, especially over an ocean where there is a lack of conventional data. In this study, we attempted to estimate background error covariances so as to provide adequate error statistics for data-sparse regions by using ensemble forecasts of optimal perturbations using bred vectors. The background error covariances estimated by the ensemble method reduced the overestimation of error amplitude obtained by the NMC method. By employing an appropriate horizontal length scale to exclude spurious correlations, the ensemble method produced better results than the NMC method in the assimilation of retrieved satellite data. Because the ensemble method distributes observed information over a limited local area, it would be more useful in the analysis of high-resolution satellite data. Accordingly, the performance of forecast models can be improved over the area where the satellite data are assimilated.  相似文献   

Effect of Stochastic MJO Forcing on ENSO Predictability   总被引：2，自引：0，他引：2  

PENG Yuehu  DUAN Wansuo  XIANG Jie 《大气科学进展》2011,28(6):1279-1290

Within the frame of the Zebiak-Cane model,the impact of the uncertainties of the Madden-Julian Oscillation(MJO) on ENSO predictability was studied using a parameterized stochastic representation of intraseasonal forcing.The results show that the uncertainties of MJO have little effect on the maximum prediction error for ENSO events caused by conditional nonlinear optimal perturbation(CNOP);compared to CNOP-type initial error,the model error caused by the uncertainties of MJO led to a smaller prediction uncertainty of ENSO,and its influence over the ENSO predictability was not significant.This result suggests that the initial error might be the main error source that produces uncertainty in ENSO prediction,which could provide a theoretical foundation for the data assimilation of the ENSO forecast.  相似文献   

用卫星OLR资料估算中国大陆月降水量   总被引：2，自引：1，他引：1       下载免费PDF全文

吴晓 《气象》2011,37(1):99-102

利用国家卫星气象中心处理的NOAA下午轨道卫星的OLR资料,用Xie等在1998年的文章中提出的月降水量计算模式,计算了1991-2008年地理范围在10°～60°N、75°～150°E、分辨率为0.5°×0.5°的中国大陆月降水量,得出:用OLR月距平资料可以计算出月降水量,模式估算出的降水量通过与NCEP提供的18年月降水量陆地观测数据对比,精度为:冬季相对误差49.14%、绝对误差7.97 mm;春季相对误差37.60%、绝对误差14.97 mm;夏季相对误差27.37%、绝对误差31.61mm;秋季相对误差37.99%、绝对误差16.95 mm,可见精度效果并不是太好,造成误差的主要原因是降水机制不一,层状云降水特别是逆温层状云和连续阴天不下雨,以及月平均OLR不能完整地反映月内降水云和降水量是造成用OLR月距平估算月降水量的主要误差来源.通过对FY-2C卫星云分类产品的图像分析,得出中国南方冬季主要是层状云降水,OLR月距平值较高,用全球的A、B系数估算出的降水量偏低于实况,因此对中国大陆进行分区、分季节统计A、B系数,是解决OLR月距平估算月降水量精度问题的途径.  相似文献   

Seasonal Prediction of Spring Dust Weather Frequency in Beijing          下载免费PDF全文

LANG Xianmei 《Acta Meteorologica Sinica》2011,25(5):682-690

In this paper, seasonal prediction of spring dust weather frequency (DWF) in Beijing during 1982-2008 has been performed. First, correlation analyses are conducted to identify antecedent climate signals during last winter that are statistically significantly related to spring DWF in Beijing. Then, a seasonal prediction model of spring DWF in Beijing is established through multivariate linear regression analysis, in which the systematic error between the result of original prediction model and the observation, averaged over the last 10 years, is corrected. In addition, it is found that climate signals occurring synchronously with spring dust weather, particularly meridional wind at 850 hPa over western Mongolian Plateau, are also linked closely to spring DWF in Beijing. As such, statistical and dynamic prediction approaches should be combined to include these synchronous predictors into the prediction model in the real-time operational prediction, so as to further improve the prediction accuracy of spring DWF in Beijing, even over North China. However, realizing such a prediction idea in practice depends essentially on the ability of climate models in predicting key climate signals associated with spring DWF in Beijing.  相似文献   

Regional Temperature Forecast for the Next Day in Hong Kong          下载免费PDF全文

LAM Hil  SHUM Karen Kit-ying  TANG Julian Shu-yan 《Acta Meteorologica Sinica》2011,25(6):725-733

For a century or so, the Hong Kong Observatory (HKO) has been providing temperature forecast for the whole of Hong Kong with the HKO Headquarters as the reference location. In recent decades, due to spreading of population from the main urban center to satellite towns, there is an increasing demand for regional temperature forecasts. To support such provision, the HKO has developed a regression model to provide objective guidance to forecasters in formulating forecasts of maximum and minimum temperatures for the next day at various locations in Hong Kong. In this paper, the regression model is presented, together with the assessment of its performance. Based on the verification of one year of forecasts, it is found that the root mean square errors (RMSEs) of maximum (minimum) temperature forecasts are from about 1.3 to 2.1 (1.1 to 1.4) degrees, respectively. The regression model is shown to have generally out-performed the operational regional spectral model then operated by HKO. Regional temperature forecast methods of other meteorological or research centers are also surveyed. Equipped with the regression model, the HKO has launched an online regional temperature forecast service for the next day in Hong Kong since March 2008.  相似文献