Investigating the Effects of Madden-Julian Oscillation on Climate Elements of Iran (1980-2020)

Kourosh Mohammadpour, Z. Hejazizadeh, H. Ghaemi, M. Salighe
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Abstract

The Madden-Julian Oscillation is one of the large-scale climate change patterns in the maritime tropics, with sub-seasonal time periods of 30 to 60 days affecting tropical and subtropical regions. This phenomenon can cause changes in various quantities of the atmosphere and ocean, such as pressure, sea surface temperature, and the rate of evaporation from the ocean surface in tropical regions. In this research, the effects of Madden-Julian fluctuation on the weather elements of Iran have been investigated with the aim of knowing the effects of different phases in order to improve the quality of forecasts and benefits in territorial planning. At first, the daily rainfall data of 1980-2020 were received from the National Meteorological Organization and quality controlled. Using the Wheeler and Hendon method, the two main components RMM1 and RMM2 were analyzed, based on which the amplitude of the above two components is considered as the main indicator of the intensity and weakness of this fluctuation. This index is based on the experimental orthogonal functions of the meteorological fields, including the average wind levels of 850 and 200 hectopascals and outgoing long wave radiation (OLR) between the latitudes of 20 degrees south and 20 degrees north. The clustering of the 7-day sequence with a component above 1 was used as the basis for clustering all eight phases, and by calculating the abnormality of each phase compared to its long term in the DJF time frame, the zoning of each phase was produced separately. In the end, phases 1, 2, 7, 8 were concluded as effective phases in Iran’s rainfall and phases 3, 4, 5, 6 as suppressive phases of Iran’s rainfall.
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马登-朱利安涛动对伊朗气候要素的影响研究(1980-2020年)
马登-朱利安涛动是海相热带大尺度气候变化模式之一,影响热带和亚热带地区的亚季节周期为30 ~ 60天。这种现象可以引起大气和海洋的各种量的变化,如压力、海面温度和热带地区海洋表面的蒸发率。在本研究中,研究了Madden-Julian波动对伊朗天气要素的影响,目的是了解不同阶段的影响,以提高预报的质量和领土规划的效益。首先从国家气象局获取1980-2020年的逐日降水数据,并进行了质量控制。采用Wheeler和Hendon方法对RMM1和RMM2两个主分量进行分析,在此基础上,将上述两个分量的幅值作为本次波动强度和强弱的主要指标。该指数是根据气象场的实验正交函数,包括850和200百帕斯卡的平均风速和南纬20度和北纬20度之间的输出长波辐射(OLR)。将分量大于1的7天序列聚类作为所有8个阶段聚类的基础,通过计算DJF时间框架中每个阶段的异常与其长期的对比,分别生成每个阶段的分区。最后得出第1、2、7、8阶段为伊朗降雨的有效阶段,第3、4、5、6阶段为伊朗降雨的抑制阶段。
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