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Quantum Biophysics of the Atmosphere: Factor Analysis of the Annual Dynamics of Maximum, Minimum and Average Temperatures from 1879 to 2017 to Hadley English Temperature Center (Hadcet)

机译:大气的量子生物物理:对1879年至2017年的最大,最低和平均气温的年度动态因素分析到Hadley英国温度中心(HADCET)

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Factor analysis of annual dynamics from 1879 to 2017 was carried out by the method of identification of stable regularities:maximum,minimum and average air temperature of Central England according to HadCET.The sample capacity was 139 rows.In factor analysis,time is excluded,and it acts only as a system-forming factor that ensures the relationship between the three parameters of climate and weather.Therefore,the ade­quacy of the dynamics models is taken into account in the diagonal cells of the correlation matrix.In addition to time,different lists of objects are possible in factor analysis.The coefficient of correlation variation,that is,a measure of the functional relationship between the parameters of the system(annual weather at the weather station in Central England)is 0.8230 for trends,0.8603 taking into account the annual dynamics of the four-membered model obtained from the computational capabilities of the software environment CurveExpert-1.40,and 0.9578 for the full up to the error of measurement wavelet analysis of the dynamics of the values of three factors.In all three methods of factor analysis,the meteorolog­ical parameter«average Annual temperature»was in the first place as the influencing variable,the«Maximum temperature»was in the second place,and the«Minimum temperature»was in the third place.As the dependent measure in these areas there are three kinds of temperature.The comparison shows that among the binary relations between the three temperatures,the average temperature on the maximum air temperature in the surface layer of the atmosphere has the greatest influence on the correlation coefficient 0.9765.At the same time,all six equations refer to strong connections,so there is a high quantum certainty between the three types of temperature.But when predicting the most meaningful essence showed the maximum temperature.
机译:根据HADCET的识别方法,通过识别规则的识别方法进行年度动态的因素分析,从稳定规律的识别方法进行:最大,英格兰中部的最大,最低和平均气温。样品容量为139排。因子分析,时间被排除在外,它仅作为一种系统形成因素,确保了气候和天气的三个参数之间的关系。因此,在相关矩阵的对角线单元中考虑了动态模型的充分性。除了时间,不同对象的列表是在因子可能相关的变异系数浅析浅析,即,该系统的参数之间(年度天气在中部英国气象站)的函数关系的量度是0.8230为趋势,0.8603是考虑到从软件环境Curveexpert-1.40的计算能力获得的四元模型的年动态,以及0.9578的完整测量值误差的三个因素的值的动态。在某种因素分析方法中,气象参数«平均年度温度»在第一个作为影响变量的地方,“最高温度”在第二个地点,«最小温度»在第三位。这些区域的依赖措施有三种温度。比较表明,三个温度之间的二进制关系,最大气温的平均温度大气的表面层对相关系数0.9765的影响最大。同时,所有六方程都指的是强的连接,因此三种温度之间存在高量子确定性。但是在预测最有意义的精华时显示出最高温度。

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