排序方式： 共有27条查询结果，搜索用时 15 毫秒
1.
2.
与非线性区域预测方法结合的月延伸预报试验Ⅰ:纬向平均环流的预报 总被引：2，自引：0，他引：2
为克服数值模式普遍存在的纬向平均环流预报误差,文中在36a NCEP/NCAR再分析高度场资料的基础上,应用非线性时空序列预测理论的局域近似法构建了200,300,500和700hPa4个等压面上的月尺度逐候纬向平均高度距平场非线性动力学区域预报模型.对1996年12个月所做的预报试验表明,无论是南、北半球中高纬度地区还是低纬度地区,非线性模型的候纬向平均高度预报结果均优于持续性预报、气候预报和T42L9模式动力预报.用非线性结果对T42L9模式月平均高度场预报结果进行订正,则使该谱模式系统性预报误差显著减少,也大大减少了其预报高度场的均方根误差,相应地,高度场距平相关评分也有一定程度的提高,表明纬向平均高度的非线性预报比谱模式动力预报包含了更多的有用信息. 相似文献
3.
就一次出梅时西太平洋副热带高压北进过程,用数值试验的方法,对副高北进的原因进行了分析研究,重点分析了非绝热过程在副高北进过程中所起的作用。结果表明:1）对应出梅时的环流形势,大气内部的动力调整过程具有使副高增强北进的趋势,是副高北进的主导因子。2）在3～5天时间尺度上,非绝热过程的作用不可忽视,其总效应使副高减弱。就各非绝热因子而言,净辐射过程的总效应使副高减弱,不利副高北进;降水凝结潜热释放有利副高的维持和增强,有利副高北进。就地区而言,南亚季风区加热具有同副高南侧热带辐合带加热相同的作用,正的加热增强有利副高增强北进。 相似文献
4.
5.
Monthly Extended Predicting Experiments with Nonlinear Regional Prediction.PartⅡ:Improvement of Wave Component Prediction 
下载免费PDF全文
下载免费PDF全文 Based on Chen et al. (2006), the scheme of the combination of the pentad-mean zonal height departure nonlinear prediction with the T42L9 model prediction was designed, in which the pentad zonal heights at all the 12-initial-value-input isobar levels from 50 hPa to 1000 hPa except 200, 300, 500, and 700 hPa were derived from nonlinear forecasts of the four levels by means of a good correlation between neighboring levels. Then the above pentad zonal heights at 12 isobar-levels were transformed to the spectrum coefficients of the temperature at each integration step of T42L9 model. At last, the nudging was made. On account of a variety of error accumulation, the pentad zonal components of the monthly height at isobar levels output by T42L9 model were replaced by the corresponding nonlinear results once more when integration was over. Multiple case experiments showed that such combination of two kinds of prediction made an improvement in the wave component as a result of wave-flow nonlinear interaction while reducing the systematical forecast errors. Namely the monthly-mean height anomaly correlation coefficients over the high- and mid-latitudes of the Northern Hemisphere, over the Southern Hemisphere and over the globe increased respectively from 0.249 to 0.347, from 0.286 to 0.387, and from 0.343 to 0.414 (relative changes of 31.5%, 41.0%, and 18.3%). The monthly-mean root-mean-square error (RMSE) of T42L9 model over the three areas was considerably decreased, the relative change over the globe reached 44.2%. The monthly-mean anomaly correlation coefficients of wave 4-9 over the areas were up to 0.392, 0.200, and 0.295, with the relative change of 53.8%, 94.1%, and 61.2%, and correspondingly their RMSEs were decreased respectively with the rate of 8.5%, 6.3%, and 8.1%. At the same time the monthly-mean pattern of parts of cases were presented better. 相似文献
6.
Monthly Extended Predicting Experiments with Nonlinear Regional Prediction.PartⅠ:Prediction of Zonal Mean Flow 下载免费PDF全文
下载免费PDF全文 Systematic errors have recently been founded to be distinct in the zonal mean component forecasts, which account for a large portion of the total monthly-mean forecast errors. To overcome the difficulty of numerical model, the monthly pentad-riean nonlinear dynamic regional prediction models of the zonal mean geopotential height at 200, 300, 500, and 700 hPa based on a large number of historical data (NCEP/NCAR reanalysis data) were constituted by employing the local approximation of the phase space reconstruction theory and nonlinear spatio-temporal series prediction method. The 12-month forecast experiments of 1996 indicated that the results of the nonlinear model are better than those of the persistent, climatic prediction, and T42L9 model either over the high- and mid-latitude areas of the Northern and Southern Hemispheres or the tropical area. The root-mean-square of the monthly-mean height of T42L9 model was considerably decreased with a change of 30.4%, 26.6%, 82.6%, and 39.4%, respectively, over the high- and mid-latitudes of the Northern Hemisphere, over the high- and mid-latitudes of the Southern Hemisphere, over the tropics and over the globe, and also the corresponding anomaly correlation coefficients over the four areas were respectively increased by 0.306-0.312, 0.304-0.429, 0.739-0.746, and 0.360-0.400 (averagely a relative change of 11.0% over the globe) by nonlinear correction after integration, implying that the forecasts given by nonlinear model include more useful information than those of T42L9 model. 相似文献
7.
8.
9.
10.