ISSN 1000-0526
CN 11-2282/P

Volume 17,Issue 12,1991 Table of Contents

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  • 1  Charactcristics of the meso-scale disturbance of the heavy rain cloud cluster
    李玉兰
    1991, 17(12):3-7. DOI: 10.7519/j.issn.1000-0526.1991.12.001
    [Abstract](441) [HTML](0) [PDF 477.07 K](373)
    Abstract:
    In this paper,wind field,height field and temperature field of heavy rain cloud cluster over Yangtze River Delta Region have been explored by bandpass filter techniques with the maximum response wave length fo 1500km and the grid length of 150km,using the conventional meteorological data (1000-100hPa). The relationship between the meso-sc,ale disturbance field and the heavy rain cloud cluster has also been discussed.
    2  Application of multiple fuzzy regression analysis of the drought/flood trend prediction over the Changjiang River valley
    魏凤英 郝跟成
    1991, 17(12):8-12. DOI: 10.7519/j.issn.1000-0526.1991.12.002
    [Abstract](418) [HTML](0) [PDF 382.89 K](369)
    Abstract:
    The time coefficient series of the first characteristic vector of May-September precipitation at twenty-five stations is regarded as the drought/flood index over the Changjiang River valley. The correlation between the index and SST of the North Pacific and 500hPa height in the Northern Hemisphere is analysed and seven, factors have been examined and the stability of the factors are selected. The drought/flood trend of the area is predicted by use of the multiple fuzzy regression analysis.
    3  Probe of nonlinear regression equation
    姜子俊 乔志敏
    1991, 17(12):13-16. DOI: 10.7519/j.issn.1000-0526.1991.12.003
    [Abstract](420) [HTML](0) [PDF 436.50 K](365)
    Abstract:
    In this paper, fifteen kinds of ordinary functions were applied to select the nonlinear predictors. Coarse and fine selections were accepted. A nonlinear forecasting equation has been built. The results showed that the predictors had 390 kinds of formation and the effects of the nonlinear forecasting equation in this method were better than those of the linear equations.

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