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Innovative and successive average trend analysis of temperature and precipitation in Osijek, Croatia
Theoretical and Applied Climatology ( IF 2.8 ) Pub Date : 2021-06-05 , DOI: 10.1007/s00704-021-03672-3
Ali Danandeh Mehr , Bahrudin Hrnjica , Ognjen Bonacci , Ali Torabi Haghighi

This paper examines monthly, seasonal, and annual trends in temperature and precipitation time series in Osijek during the period between 1900 and 2018. Two new methods, innovative trend analysis (ITA) and successive average methodology (SAM), together with the classic Mann–Kendall (M–K) and Sen’s slope methods, have been applied to determine potential trends in the variables at different time scales. Moreover, time series decomposition using locally estimated scatterplot smoothing (STL) was conducted to determine trend, seasonality, and the relationship between the components of each variable. Regarding the air temperature, ITA showed a monotonic positive trend at relatively low (T ≤ 10 °C) and high (T ≥ 13 °C) temperature ranges in all seasons, excluding spring. A positive trend was also found in the medium temperature range in this season, which agrees with the results of M–K test. The highest Sen’s slope was obtained in January, with the second highest in April. According to the results acquired for the observed precipitation time series, it was discovered that Osijek has experienced a decreasing trend in spring precipitation. However, there is no trend in annual precipitation at a 5% significance level. Differing from the M–K results, the ITA shows a decreasing trend in both spring and autumn seasons. Summer precipitation increases with a significant change in the high precipitating levels (p ≥ 100 mm). Comparing successive pairs of partial trends in both historical temperature and precipitation, our results show that trends in peak and trough change-points are very close to each other, indicating a slight positive trend in temperature and a negative change in precipitation over the past century.



中文翻译:

克罗地亚奥西耶克气温和降水的创新连续平均趋势分析

本文研究了 1900 年至 2018 年期间奥西耶克温度和降水时间序列的月度、季节和年度趋势。两种新方法,创新趋势分析 (ITA) 和连续平均方法 (SAM),以及经典的 Mann– Kendall (M-K) 和 Sen 的斜率方法已被用于确定不同时间尺度变量的潜在趋势。此外,使用局部估计散点图平滑 (STL) 进行时间序列分解以确定趋势、季节性和每个变量的分量之间的关系。气温方面,除春季外,ITA在相对较低(T≤10℃)和较高(T≥13℃)温度范围内呈现单调正趋势。本季中温区间也出现积极趋势,与 M-K 检验结果一致。最高的 Sen 斜率是在 1 月份获得的,其次是在 4 月份获得的。根据观测降水时间序列的结果,发现奥西耶克春季降水量呈下降趋势。然而,年降水量在 5% 的显着性水平上没有趋势。与 M-K 结果不同,ITA 在春秋两季均呈下降趋势。夏季降水增加,高降水量变化显着(然而,年降水量在 5% 的显着性水平上没有趋势。与 M-K 结果不同,ITA 在春秋两季均呈下降趋势。夏季降水增加,高降水量变化显着(然而,年降水量在 5% 的显着性水平上没有趋势。与 M-K 结果不同,ITA 在春秋两季均呈下降趋势。夏季降水增加,高降水量变化显着(p  ≥100mm)中。比较历史气温和降水的连续成对部分趋势,我们的结果表明,高峰和低谷变化点的趋势彼此非常接近,表明过去一个世纪气温略呈正趋势,降水呈负变化。

更新日期:2021-06-05
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