ISSN 1000-0526
CN 11-2282/P

Volume 25,Issue 11,1999 Table of Contents

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  • 1  The Advances on Q-Vector and Its Application to Synoptic Diagnosis
    1999, 25(11):3-8. DOI: 10.7519/j.issn.1000-0526.1999.11.001
    [Abstract](753) [HTML](0) [PDF 469.55 K](869)
    A substantial review on the developments of the theoretic studies of Q vector and the results of its main application is conducted completely and systematically,along with a prospective study in this field.
    2  The Role of Downdrafts in Cumulus Convection
    薛建军 谈哲敏 闫之辉
    1999, 25(11):9-14. DOI: 10.7519/j.issn.1000-0526.1999.11.002
    [Abstract](630) [HTML](0) [PDF 359.57 K](666)
    By using a high resolution limited area operational forecasting model,the comparative forecasting experiments were performed to study the role of downdrafts in cumulus convection. The main conclusions are as follows:(1)Being relatively cool and moist, downdraft occurs mainly in middle and lower troposphere below 500 hPa during the period of deep convection development.(2)The downdrafts introdued have promoted the formation and development of deep cumulus clouds, which tend to warm and dry the cumulus environment more strongly at higher and more spatial levels. Consequently, the contributions of cumulus clouds to the large-scale environment thermodynamic and dynamic fields are modified.
    3  The relationship between Lightning Activity and Severe Convection Weather in Beijing Area in summer from 1995 to 1997
    薛秋芳 孟青 葛润生
    1999, 25(11):15-19. DOI: 10.7519/j.issn.1000-0526.1999.11.003
    [Abstract](875) [HTML](0) [PDF 1.75 M](804)
    The lightning activities Beijing area were monitored with single station lightning detection system(M-LDARS)in summer of 1995—1997.The result shows that the relationship between diurnal variation of lightning frequency and severe convection weather.In the different weather types,such as hail or heavy rain,the proportions of ground flash and cloud flash aren't the same.The high amounts of cloud flash are attributed to the presence of hail,and a great deal of ground flash associated with the observations of heavy rain.
    4  The Application of Combined Forecasting Method with Optimal Weight to Climate Prediction
    刘海波 苏炳凯 项静恬
    1999, 25(11):20-24. DOI: 10.7519/j.issn.1000-0526.1999.11.004
    [Abstract](544) [HTML](0) [PDF 308.85 K](686)
    The combined forecasting method was introduced to the research and application of climate prediction The characteristic of optimal weighted method was discussed The computed result shows that combined forecasting method can improve the reliability and accuracy of forecasting result.
    5  A Case Study of a Convective Storm over the North China Plain
    段英 李云川 赵亚民
    1999, 25(11):25-28. DOI: 10.7519/j.issn.1000-0526.1999.11.005
    [Abstract](774) [HTML](0) [PDF 259.75 K](725)
    A severe convective storm was investigated by using more detailed data of satellite cloud pictures,Doppler radar and radiosondage observation.The combined pattern of convective cells with distinguishing feature and its vertical airflow structure were obtained.
    6  Analysis of the Predictors of the Serious Waterlogging during the Early Flood Season in Guangxi
    1999, 25(11):29-33. DOI: 10.7519/j.issn.1000-0526.1999.11.006
    [Abstract](604) [HTML](0) [PDF 362.78 K](685)
    Through general analysis of the data of the plateau surface temperature,the tropic sea surface temperature and the Southern Hemisphere cyclones,four predictors were picked out experientially.The four factors are the Lhasa surface air temperature anomaly in January,the equator east west Pacific surface temperature gradient in April,the equator India Ocean surface temperature rising extent in April and the count of southern hemisphere low latitude cyclone in January.They can predict the serious waterlogging accurately during the early flood season in Guangxi.It′s pointed out that the plateau thermal regime;the tropic sea action and the atmosphere baroclinicity of the low latitude in Southern Hemisphere are the important factors that affect the rainfall of Guangxi during the early flood season.Also,the forecast and the physical mechanism were analyzed and discussed.
    7  Analyses of the Main Factors of Drought in Shandong Province
    王建源 陈艳春
    1999, 25(11):34-36. DOI: 10.7519/j.issn.1000-0526.1999.11.007
    [Abstract](577) [HTML](0) [PDF 231.76 K](690)
    The drought is cansing the reduction of crop yield for a large area and heavy economic losses in Shandong Province.Its factors are the inhomogeneous spatial and temporal distribution of precipitation,the decreasing flow capacity of the Yellow River and the increasing transpiration caused by higher temperature.Therefore,it is necessary to build water conservancy projects at top speed and to promote the technology of economizing water usage.
    8  A Comparison of Heavy Snow Formation in Spring and Winter
    陈爱玉 李存龙 陈新育
    1999, 25(11):37-39. DOI: 10.7519/j.issn.1000-0526.1999.11.008
    [Abstract](862) [HTML](0) [PDF 194.64 K](796)
    The physical causes and the satellite cloud photograph features of 12 heavy snows occurred at Rugao city in Jiangsu Province from 1965 were analysed.The results show that heavy snow in spring is associated with strong cold wave, snow often occurs in the wet side of the dry wet interface, and the brightness temperature of heavy snow in water vapor photograph was lower in spring than in winter.
    9  The Evaluation on the Precipitation Enhancement Effect by Using Correlation of the Precipitation Enhancement Effect and Effect Statistical Value
    冯宏芳 郑淑贞 陈敏艳 曾光平
    1999, 25(11):40-43. DOI: 10.7519/j.issn.1000-0526.1999.11.009
    [Abstract](490) [HTML](0) [PDF 259.24 K](653)
    The statistical value distribution and characteristic value of the pattern of precipitation enhancement were studied by using the statistic numerical modeling method.The results indicate that the statistical value of precipitation enhancement effect submits to normal distribution (the probability of normal fitting>0.70);the average of precipitation enhancement effect statistical value is correlative closely with precipitation enhancement effect (r>0.99,α<0.001),the equation of monadic linear regression is significant,the fiducial probability exceeds 99%.Therefore the precipitation enhancement effect can be calculated by way of the statistical value of statistics precipitation enhancement effect.
    10  An Integration System of Precipitation Forecast at Zaozhuang in Summer
    田忠明 苑文华 王凤琴
    1999, 25(11):43-46. DOI: 10.7519/j.issn.1000-0526.1999.11.010
    [Abstract](624) [HTML](0) [PDF 259.01 K](704)
    The multi variate decision weighting method is applied to integrate five kinds of short range precipitation forecasting techniques in June-September over Zaozhuang of Shandong Province, and a more accurate and more objective probability prediction on three precipitation grades were obtained.
    11  Drawing Radar Chart with Iso-beam Height
    邓志 刘文文 黄美金
    1999, 25(11):47-49. DOI: 10.7519/j.issn.1000-0526.1999.11.011
    [Abstract](731) [HTML](0) [PDF 171.65 K](925)
    The drawing method and principle of radar chart with iso-beam height (radar range chart) were described based on the practical experience.
    12  The Tourism-Climate Guide of Huangshan Area
    杨贤为 邹旭恺 马天健 王效瑞
    1999, 25(11):50-54. DOI: 10.7519/j.issn.1000-0526.1999.11.012
    [Abstract](677) [HTML](0) [PDF 339.39 K](794)
    By generalizing the basic climatic features and analyzing various meteorological landscapes for Huangshan Area,Anhui Province,the optimum tourist seasons were concluded to two different purposes,which can be used as a tourist guide for relevant agencies and vast tourists.
    13  The Climate Effect on the Potentiality of Raising the Milk Yield
    沈亚平 包士芳 杨仲生 施和秋 沈建华
    1999, 25(11):55-57. DOI: 10.7519/j.issn.1000-0526.1999.11.013
    [Abstract](525) [HTML](0) [PDF 200.24 K](673)
    It is pointed out that the total milk yield is equal to the physiological milk yield plus nutrition milk yield and climate milk yield,that is,Ytotal=Y1+Y2+Y3.It is focused on the climate milk yield and nutrition milk yield. The result shows that the four factors,ie,monthly average vapour pressure,monthly average air temperature,monthly average lowest temperature and monthly average evaporation,have great effect on the climate milk yield.Meanwhile,the best conditions in the monthly average vapour pressure (1988),monthly average air temperature (1993),monthly average lowest temperature (1989) and monthly average evaporation (1988) are the most favourite for the climate milk yield .The cause of the low milk yield was given,that is,the milk production peak is postponed for 30 days.What’s more,if the seed amaranth can be planted to make up for the cow food shortage during July and August,there is a potential milk production increasement of 1 million kilograms.

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