白桦叶片生长阶段气象参数的因子分析

P. Mazurkin
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引用次数: 2

摘要

在地球的不同地区,气象站积累了大量的时间序列,例如,关于表层空气的各种参数。气象学进一步发展的条件之一是在气象站积累的统计资料基础上发现稳定的规律[1-9]。这些模式可以让你更好地理解过去,并预测人们做出决定的某些可能行为。同时,我们从实测统计数据中识别一般小波方程(孤立波)的方法将有助于补充和澄清文章[1]中描述的2100年之前的气候减缓情景。另一个条件将是通过考虑到其可靠性的每个因素的动态的定量数据来确定人类行为的情景。在这种情况下,只有获得高充分性波动方程的情形才是可靠的。欧洲草甸的水分状况[3,4]和碳动态[5]根据通用设计的小波变化[2]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factor Analysis of Meteo-parameters on the Stage of Growth of Birch Leaves
In different parts of the Earth at weather stations accumulated a lot of time series, for example, on various parameters of air in the surface layer. One of the conditions for further development of meteorology is the identification of stable regularities [1-9] on the basis of accumulated statistical data at meteorological stations. And these patterns allow you to better understand the past and predict certain possible behaviors of people making decisions. At the same time, our method of identification of the General wavelet equation (solitary wave) from the measured statistical data will allow to Supplement and clarify the climate mitigation scenarios up to 2100, described in article [1]. Another condition will be the identification of the scenarios of human behavior by their quantitative data of the dynamics of each factor taken into account by their reliability. In this case, only those scenarios for which the wave equations of high adequacy will be obtained will be reliable. The water regime of meadows [3,4] and carbon dynamics in Europe [5] change according to wavelets of universal design [2].
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