印度夏季风降水周期性研究

印度夏季风降水(ISMR)在南亚气候系统中是一个非常重要的内容,近年来对它的研究日益受到人们的重视。为了深入认识ISMR的变化特征,主要利用Scargle周期图和小波变换研究了1871-2004年间ISMR变化的周期性。结果表明,ISMR的周期性波动非常复杂,相应的周期参数具有明显的时变特征。文中还简单讨论了ISMR周期时变的可能原因。     

GENERATION OF SYNTHETIC AND MISSING CLIMATIC DATA FOR PUERTO RICO1

ABSTRACT: Climatic data such as temperature, solar radiation, relative humidity, and wind speed have been widely used to estimate evapotranspiration. Moat of the solar radiation data and portions of the relative humidity data are either not available or missing from the records in Puerto Rico. Depending upon the availability and data characteristics of records, three methods (including a regression technique, an averaging of historical data, and a regional average) were used to generate missing data, and a time series analysis was used to synthesize a series of climatic data. The limitations and applicability of each method are discussed. The results showed that the time series analysis method can be successfully used to synthesize a series of monthly solar radiations for several stations. The regression technique and the regional average can be successfully applied to generate missing monthly solar radiation data. The regression technique and the averaging of historical data have been satisfactorily used to interpolate missing monthly relative humidity. The explained variance (R²) varied from 0.68 to 0.88, which are both significant at the 0.05 level of significance.     

历史洪水在洪水序列隐含周期分析中的应用

历史洪水调查是洪水序列的重要组成部分,对揭示洪水序列的周期,论证周期的稳定性和可靠性具有重要的作用.本文提出具有历史洪水调查的不连序序列三种周期分析模型,理论分析和实例计算结果表明,文中提出的模型是合理和可行的.