分析太阳黑子活动和ENSO对吉兰省降雨模式的周期性影响:基于波纹的方法
Mahboubeh Molavi-Arabshahi1, Sara Eskandari2
1Mathematics & Computer Science, Iran University of Science and Technology, Tehran, Iran. molavi@iust.ac.ir.
Scientific reports
|July 2, 2025
概括
像太阳黑子活动 (SSN) 和厄尔尼诺-南方振荡 (ENSO) 这样的大规模气候模式显著影响吉兰省.
科学领域:
- 气候学 气候学 气候学
- 大气科学 大气科学
- 水文学的水文学
背景情况:
- 吉兰省的气候变化受到大规模现象的影响.
- 了解这些影响对于区域水资源管理至关重要.
研究的目的:
- 调查太阳黑子活动 (SSN) 和厄尔尼诺-南方振荡 (ENSO) 对吉兰气候的影响.
- 分析太阳/气候指数和区域天气模式之间的时间和频率域关系.
主要方法:
- 利用伊朗吉兰省73年 (1951-2023) 的数据集.
- 采用了先进的波形信号分析技术:CWT,XWT,WTC和TLCA.
- 研究了气候变量中的周期性模式和周期性.
主要成果:
- 确定了与SSN和ENSO (SOI) 相关的降水趋势的10年周期性.
- 证实了ENSO和SSN对长期温度和露点波动的影响.
- 太阳能活动,ENSO和区域气候之间经过多十年的相互作用.
结论:
- 将SSN和ENSO指数集成到预测模型中可以增强长期气候预测.
- 研究结果支持在气候敏感地区改进水资源管理战略.
- 先进的波形分析为气候变化驱动因素提供了新的见解.
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