中国降水异常的特征分析
ANALYSES OF PRECIPITATION VARIATION HIERARCHY FOR SHORT-TIME CLIMATE IN CHINA
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摘要: 异常降水直接影响着农业和其他生产活动.文中计算分析了中国160个测站的一些反映降水变化的常规统计量,认为这些统计量难以反映出降水异常的变化特征.文中从非线性动力学和统计学相结合的角度出发,分析了相隔1~20a间不同时间尺度的降水变率之间的关系,找到可以区分任意地区降水异常特点的特征参数,由此可进一步判断某个地区旱涝灾害发生的可能性以及强度的大小,为气候研究工作提供必要的依据.Abstract: Climate disasters often appear,especially abnormal rainfall.Normal statistical variables usually being mean values are gotten at a fixed time scale.Areas having the same one statistical variable behave very differently in precipitation course.Thus normal statistical variables can nearly reflect strong fluctuations of precipitation variation.In order to analyze unusual precipitation and search for its relationship on different time scale,we have used fifty years' monthly mean precipitation and analyzed the relative precipitation variation on different time scale from one to twenty years.By making use of random increments of climate series and calculating its high-ordered probability density function,we got hierarchy variables standing for precipitation variation on different time scale and different fluctuation.Through dimensional analysis,we concluded a relationship of hierarchy variables and found that its variety index could identify different preciptation pattern,and reflect strong fluctuations of precipitation variation series.We calculated the variety index of 160 areas all over China.Its value varied from minimum 0.38 to maximum 0.82.We also found that the values accord with actual precipitation variation series.This helps us to judge the possibility of drought and waterlog in an area.The relationship of hierarchy variables maybe helps us to develop short-time climate forecast ability.
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