THE ANALYSIS ON THE STATISTICAL CHARACTER OF QUIKSCAT SCATTEROMETER WINDS AND STRONG WIND FREQUENCY USING REMOTE SENSOR DATA FROM QUIKSCAT

1 INTRODUCTION Most of the conventional sea surface wind data are measurements from ships, buoys and islands, with coverage and spatial resolution far below the requirements of research and application. At present, due to limited understanding of physical processes and efficient exploitation of data, numerical prediction models have not been used as they should be, although routine procedures are able to give sea surface wind fields at the intervals of 6 hours. With the development of sp…     

用卡尔曼滤波预报南海热带气旋路径的试验

利用卡尔曼滤波方法预报南海热带气旋路径，发现采用卡尔曼滤波可以大大地降低预报误差，提高预测模型的预报能力。     

THE TEST OF APPLYING RADAR TREC WIND IN THREE-DIMENSIONAL VARIATIONAL ASSIMILATION

1 INTRODUCTIONThat the radar data are reasonably ingested into theassimilation analysis system to improve the analysisquality and prediction precision is one of the problemsmeteorologists currently try to resolve. Many scholarshave already obtained some r…     

QuikSCAT卫星散射计矢量风检验及南海月平均风场特征分析

采用中国科学院南海海洋研究所2008年建设的,西沙海洋观测研究站上的自动气象站实测数据,对亚太数据研究中心提供的近实时QuikSCAT卫星遥感风场资料(2008年4月6日—12月31日)进行了检验和统计特征分析,得出:这两者风速的相关系数为0.86,平均偏差为-1.50 m/s,均方根误差为1.71 m/s,表明QuikSCAT卫星遥感风场资料在南海具有很高的适用性。在此基础上,利用QuikSCAT卫星遥感的月平均风场资料分析了南海月平均风场特征。结果表明:(1)南海季风10月到次年3月盛行东北风,6—8月盛行西南风,4、5、9月为季风转换季节;(2)存在两个平均风速大值中心,一个位于南海南部(10°N,108°E)附近,另一个位于台湾海峡附近,其位置和强度会随着季节变化而变动。     

ANALYSIS OF CAUSATION OF ABNORMAL MOTION OF LANDING TROPICAL CYCLONES IN GUANGDONG

1 INTRODUCTION It is doubtless that TCs making landfalls on Guangdong are one of the important aspects of the research on and prediction of short-term climate changes for the province. With regard to the climate patterns of TCs motion and factors governin…     

1998年5月23～24日暴雨过程的Q矢量分析

本文选取１９９８年５月２３日００时（ＧＭＴ,下同）到５月２４日２３时的暴雨过程。时间长度为１９９８年５月２２日００时到５月２５日００时。采用非地转Ｑ矢量表达式,计算了１００～１２５°Ｅ、１５～３５°N区域内,从１０００到５０ｈＰａ２０层Ｑ矢量及Ｑ矢量散度,来对此次暴雨过程进行诊断分析。１　暴雨过程概述 由图１可以看出,此次暴雨过程主要集中在西江流域和珠江三角洲,粤东在２４日出现暴雨。分析逐时降水量图和２４小时降水量分布图,可以看到整个暴雨过程可分为两个阶段：第一个阶段降水主要指２３日００～２３时…     

太阳黑子活动与副高强度等参数关系的分析及预测

引　言 太阳与天气、气候关系的研究,最早可追朔到１８０１年天文学家Ｗ．Ｈｅｒｓｃｈｅｌ,在他的文章中提到：“当太阳黑子较少时,地面上的雨量也少…”。１８５２年天文学家Ｗｏｌｆ研究了苏黎世城历史上气象要素和黑子相对数的相关关系,发现：“当太阳黑子数多时,苏黎世地面气候较干燥,农业获丰收;而当太阳黑子数少时,气候则较潮湿,常有暴风雨造成农业上的灾害”。近１０年来,随着短期气候变化预测的迅速发展,太阳与气候的研究也再度活跃起来。 广东省的天气预报分析经验表明,副高的强度、位置与广东省前汛期降水量的偏多或…     

南海台风路径预报试验

利用预测误差平方和最小准则的逐步算法对台风路径进行拟合和预测试验，试验结果表明ＰＲＥＳＳ方法得到的模型具有较强的预测能力，因而，ＰＲＥＳＳ方法同逐步回归一样，也是一种预报台风路径客观有效的方法。     

T_(63)数值预报产品在逐日最低温度预报试验中的运用

随着数值模式的升级，数值预报产品越来越具可用性，它不仅为业务预报提供了定量化的参考，而且弥补了资料在某些区域和某时次的空缺；数值预报模式还可以提供大量的物理量，有助于天气分析和预报。因此，数值预报产品越来越受预报员欢迎，但是由于数值预报模式提供的产品很多，如何利用好这些产品就成为一个重要的课题，数值预报产品的释用研究因而愈显重要。目前大量的预报中多采用PPM和MOS这两种统计释用方法。PPM是用过去的因子实测资料和预报量建立统计关系，而后用数值预报输出的因子资料代人方程中得到预报值，这样处理的缺点是…     

WAVELET ANALYSIS OF INTERANNUAL VARIATION OF TROPLCAL CYCLONES IN GUANGDONG

Climatological laws are studied for the annual frequency of tropical cyclone occurrence and the date of the yearly first landfall,which take place in the Guangdong province or pose serious threats on it from 1951 to 1999,using the data in the Yearly Book on Typhons.A new method that has developed over recent years for the study of temporal sequences,the wavelet analysis,is used,in addition to more common statistical approaches.By analyzing two wavelet functions,HAT and MORLET,we have compared the results of transfor proaches.By analyzing two wavelet functions,MHAT and MORLET,we have compared the results of transformation of the wavelets provided that ther conditions remain unchanged.It is discovered that the variance of MORLET wavelet has better indication of primary periods; period-time sequence charts can reflect major affecting periods for individual sections of time;when compared with the orginal sequence,the chart shows a little shift.On the other hand,such shift is absent in the MHAT wavelet.but its higher frequency part of variance covers up the primary periods to make its variance less pedominant as compared to the MORLET wavelet.Besides,the work compares two different assumptions of an amplifying factor a.It is found that primary periods can be shown more clearly in the variance when a takes the exponential of 2 than it takes values continuously.Studying the annual frequency of tropical cyclones and the date of first appearance for periodic patterns ,we have found that the primary peroids extracted by this approach are similar to those obtained by wavelet transformation.