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首页> 外文期刊>Doklady Earth Sciences >Distribution Functions of Probabilities of Cyclones and Anticyclones from 1952 to 2000: An Instrument for the Determination of Global Climate Variations
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Distribution Functions of Probabilities of Cyclones and Anticyclones from 1952 to 2000: An Instrument for the Determination of Global Climate Variations

机译:1952年至2000年气旋和反气旋概率的分布函数:一种确定全球气候变化的工具

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摘要

Global climate changes are not desirable and are even dangerous for two reasons. Slow variations in mean values, such as air temperature at the surface, lead to prolongation of the period without frost, decreasing of the time favorable for winter sports, and other changes. On the other hand, a shift in the mean characteristics leads to variations in the distribution functions for hazardous and even catastrophic events such that they can become more frequent and intense. Moreover, they can appear in atypical regions, where the population is not accustomed to such events. The standard procedure is currently as follows: the percentage of probability of draughts, floods, frosts, hot weather periods, or other extreme phenomena are calculated on the basis of observation data or climate models. Then variations for other climatic periods are analyzed relative to their intensity, duration, recurrence frequency, and so on. Analysis of their distribution functions related to the target parameter is a more detailed and representative method to understand the variations in the statistics mentioned above. We have calculated such distribution functions related to the intensity and area of cyclones and anticyclones based on the data of reanalysis weather charts for the second half of the 20th century. They have an exponential character. The variations in such distribution functions are most informative for determining climate changes.
机译:全球气候变化是不可取的,甚至是危险的,原因有两个。平均值的缓慢变化(例如表面的气温)会导致无霜期的延长,对冬季运动有利的时间的减少以及其他变化。另一方面,平均特性的变化会导致危险甚至灾难性事件的分配函数发生变化,从而使其变得更加频繁和激烈。而且,它们可能出现在人口不习惯的非典型地区。当前的标准程序如下:根据观测数据或气候模型计算出吃水,洪水,霜冻,炎热的天气或其他极端现象的概率百分比。然后,针对其他气候周期的强度,持续时间,复发频率等进行分析。分析它们与目标参数有关的分布函数是一种更详细,更具代表性的方法,可以理解上述统计数据的变化。我们根据20世纪下半叶的再分析天气图数据,计算了与旋风和反旋风的强度和面积有关的分布函数。它们具有指数特征。这种分布函数的变化对于确定气候变化最为有用。

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