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首页> 外文期刊>International Journal of Climatology: A Journal of the Royal Meteorological Society >Homogenization of mean monthly temperature time series of Greece
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Homogenization of mean monthly temperature time series of Greece

机译:希腊平均每​​月温度时间序列的均质化

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摘要

During the last decades due to the increased interest about climate change, many studies have been conducted trying to detect shifts in climatic series. The necessity of the homogenization of meteorological observations becomes obvious to all these studies. In practice, inhomogeneities are hardly ever avoided, because the meteorological station networks are constantly changing. A myriad of methods for detecting and adjusting inhomogeneities in climate series have been developed. In this study two homogeneity methodologies, namely MASH and Climatol, were applied to 49 monthly temperature series of synoptic stations, covering almost all climatic zones of Greece, belonging to the operational weather network of the Hellenic National Meteorological Service (HNMS). Time series cover periods ranging from 35 to 45years. Only 8.2% of the stations passed both tests successfully, another 10.2% passed the MASH homogeneity test successfully without any breakpoint, but not the Climatol test. On the other hand, 14.3% of the stations passed the Climatol test successfully but not the MASH test. The remaining stations presented one or more breaks or outliers in both homogeneity methods. Due to lack of metadata only 15% of the breaks could be explained by the stations' history. Station relocations as well as changes in observation practices caused most of the temperature anomalies. The adjustments in seasonal series were in the range from -2.54 to 1.39°C for MASH and from -2.30 to 1.50°C for Climatol. Seasonal and annual mean temperature trends were analyzed and their statistical significance calculated. The most pronounced seasonal trends were recorded in summer. Also, the differences of climatological normals for the period 1961-1990 between raw and homogenized annual series were computed. The absolute values of differences ranged from 0.0 to 0.8°C for MASH and from 0.0 to 1.0°C for Climatol.
机译:在过去的几十年中,由于人们对气候变化的兴趣日益浓厚,已经进行了许多研究以试图发现气候序列的变化。对所有这些研究而言,气象观测资料均一化的必要性变得显而易见。实际上,由于气象台站网络不断变化,很难避免不均匀性。已经开发了多种方法来检测和调整气候序列中的不均匀性。在这项研究中,两种同质化方法,即MASH和Climatol,被应用于49个月度天气观测站的温度序列,覆盖希腊的几乎所有气候区,属于希腊国家气象局(HNMS)的运行天气网络。时间序列涵盖的时间范围是35至45年。只有8.2%的站点成功通过了两项测试,另外10.2%的站点成功通过了MASH同质性测试,没有任何断点,但没有通过Climatol测试。另一方面,有14.3%的电台成功通过了Climatol测试,但未通过MASH测试。其余站点在两种同质性方法中均出现一个或多个中断或异常值。由于缺少元数据,因此车站的历史只能解释15%的休息时间。测站的重新定位以及观测方法的变化导致了大​​多数温度异常。 MASH的季节性序列调整范围为-2.54至1.39°C,Climatol的变化范围为-2.30至1.50°C。分析季节和年度平均温度趋势,并计算其统计显着性。夏季记录到最明显的季节性趋势。此外,还计算了原始和均质年序列之间1961-1990年的气候正态差异。对于MASH,差的绝对值范围为0.0至0.8°C,对于Climatol,差的绝对值范围为0.0至1.0°C。

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