The geostatistical analysis of the atmospheric precipitation in Europe on a West-East line transect

Liliana Sîrghea
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Abstract

The general warming trend of the planet cannot be denied (the average global air temperature has increased by approx. 0.85°C between 1880-2012 (IPCC, 2013). The direct consequence of this warming is an increase in extreme weather events and hence in climate risks. The monitoring and assessing precipitation, identifying the physical laws governing its course in order to be able to estimate and forecast it in the future is therefore of great interest nowadays. Using geostatistical spatial analysis methods, this paper aims at identifying the correlations between longitude and precipitation (due to the specificity of the European climate, given by the major influence of the western circulation) and then an estimation - using linear regression equations - of precipitation amounts depending on longitude. Two variables were calculated for the statistical analysis: the proportion of the mean number of days with precipitation ≥ 10 mm of the multiannual mean of precipitation days (≥0,1 mm) and the precipitation ratio between the mean precipitation quantities in summer, compared to those in winter (hereinafter referred to as summer/winter precipitation ratio). The geostatistical analysis carried out on a sample of 40 weather stations aligned from west-south-west to east-north-east argues the existence of a strong correlation between longitude and the multiannual mean of days with precipitation ≥10 mm and between longitude and the summer/winter precipitation ratio.
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欧洲东西线样带大气降水的地统计学分析
地球总体变暖的趋势是不可否认的(全球平均气温上升了大约10%)。1880-2012年期间0.85°C (IPCC, 2013)。这种变暖的直接后果是极端天气事件的增加,从而增加了气候风险。因此,监测和评估降水,确定控制其过程的物理规律,以便能够对未来的降水进行估计和预报,是当今人们非常感兴趣的。利用地统计空间分析方法,本文旨在确定经度和降水之间的相关性(由于欧洲气候的特殊性,主要受西方环流的影响),然后利用线性回归方程估计经度的降水量。统计分析计算两个变量:平均降水量≥10 mm的日数占多年平均降水量日数(≥0.1 mm)的比例,以及夏季平均降水量与冬季平均降水量之比(以下简称夏/冬降水量比)。对从西南偏西到东北偏东的40个气象站样本进行的地质统计学分析表明,经度与降水≥10 mm的多年平均日数以及经度与夏季/冬季降水比之间存在很强的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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28.60%
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3
审稿时长
8 weeks
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