On the characteristics and long-term trend of total cloud cover in Iran

IF 2.3 4区 地球科学 Acta Geophysica Pub Date : 2024-05-11 DOI:10.1007/s11600-024-01351-1
Shahnaz Rashedi, Armin Sorooshian, Sapna Tajbar, Osman Soufi bobakran
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Abstract

In this study, the annual, seasonal and monthly trends of total cloud cover (TCC) and associated climatic variables are investigated for a period of 63 (1959–2022) years in Iran based on ERA5 reanalysis data extracted from ECMWF. To analyze temporal trends, the Mann–Kendall test is used. The geographical location within Iran, especially distance from moisture sources and different atmospheric systems, influences cloudiness such that TCC decreases from north to south and from west to east. With respect to seasons, the highest and lowest average TCC is observed in winter and summer, respectively. The annual trend analysis reveals a decreasing trend in TCC (i.e., Mann–Kendall’s tau is negative: −0.40 per decade). On the monthly scale, a statistically significant decrease in TCC occurs during January, February, March, June, August, November, and December. There is a significant decreasing trend in all seasons, among which the maximum decreasing trend is observed in the summer season with a value of −0.31 per decade. Examining the trends of climatic variables shows that on all three temporal scales (annual, seasonal, and monthly) the number of rainy days (NRD) decreases and temperature (T) increases. Spatial analysis of trends (seasonal, annual) suggests the highest decrease in TCC in the west, northwest, east, and southeast, whereas the lowest decrease is in the center of Iran. Spatially, the T trend (annually and spring, summer, and winter seasons) indicates a consistent increase in temperature in the central and eastern parts of Iran. The spatial trend (annual and seasonal) of NRD in the limited parts of northwestern Iran exhibits the highest increasing trend. The results of investigating the anomalies in TCC relative to the long-term average amount of cloud cover on annual and seasonal scales show zero anomalies in most of the years (67% on an annual scale and 73% in summer and 71% in winter).

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伊朗总云量的特征和长期趋势
在本研究中,根据从 ECMWF 提取的 ERA5 再分析数据,研究了伊朗 63 年(1959-2022 年)期间总云量(TCC)和相关气候变量的年度、季节和月度趋势。为了分析时间趋势,使用了 Mann-Kendall 检验。伊朗境内的地理位置,尤其是与水汽源和不同大气系统的距离,影响了云量,使 TCC 自北向南和自西向东递减。在季节方面,冬季和夏季的平均 TCC 分别最高和最低。年度趋势分析显示 TCC 呈下降趋势(即 Mann-Kendall's tau 为负:每十年-0.40)。在月度范围内,TCC 在 1 月、2 月、3 月、6 月、8 月、11 月和 12 月出现了统计意义上的显著下降。所有季节都有明显的下降趋势,其中夏季的下降趋势最大,为每十年-0.31。对气候变量趋势的研究表明,在所有三个时间尺度上(年、季节和月),降雨日数(NRD)都在减少,而温度(T)则在增加。对趋势(季节、年度)的空间分析表明,伊朗西部、西北部、东部和东南部的降雨日数降幅最大,而中部的降雨日数降幅最小。从空间上看,T 趋势(年度、春季、夏季和冬季)表明,伊朗中部和东部地区的气温持续上升。伊朗西北部有限地区的 NRD 空间趋势(年和季节)显示出最高的上升趋势。在年度和季节尺度上对 TCC 相对于长期平均云量的异常情况进行调查的结果显示,大多数年份的异常情况为零(年度尺度为 67%,夏季为 73%,冬季为 71%)。
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来源期刊
Acta Geophysica
Acta Geophysica GEOCHEMISTRY & GEOPHYSICS-
CiteScore
3.80
自引率
13.00%
发文量
251
期刊介绍: Acta Geophysica is open to all kinds of manuscripts including research and review articles, short communications, comments to published papers, letters to the Editor as well as book reviews. Some of the issues are fully devoted to particular topics; we do encourage proposals for such topical issues. We accept submissions from scientists world-wide, offering high scientific and editorial standard and comprehensive treatment of the discussed topics.
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