墨西哥和哥伦比亚地区每日降雨量和每日极端温度之间的统计相互依赖性
Álvaro Zabaleta-Ortega1, Teobaldis Mercado-Fernández2, Israel Reyes-Ramírez1
1Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Ciudad de México 07340, Mexico.
Entropy (Basel, Switzerland)
|July 26, 2024
概括
这项研究表明,降水和极端温度在哥伦比亚更为相互联系.
科学领域:
- 气候学和统计物理学
- 对气候动态和极端天气事件的分析.
背景情况:
- 了解降水和极端温度之间的统计相互依赖对于气候变化研究至关重要.
- 之前的研究还没有完全探索非线性同步指标来量化跨不同气候区域的这种关系.
研究的目的:
- 调查墨西哥和哥伦比亚每日降水量与极端温度之间的统计相互依赖.
- 为了比较线性和非线性同步指标,以描述这些气候变量之间的信息交换.
- 为了确定区域气候条件如何影响降水和温度之间的合.
主要方法:
- 利用来自墨西哥的14个 (1960-2020) 和哥伦比亚的7个 (1973-2020) 站的每日降水和极端温度数据.
- 应用线性方法:交叉相关性和连贯性.
- 采用了非线性方法:全球相位同步指数,相互信息和交叉样本.
主要成果:
- 在降水和温度之间观察到显著的信息共享,因地区而异.
- 与墨西哥城相比,拉莫哈纳 (哥伦比亚) 的持续性更高,信息交换更大,变量之间的合更强.
- 具有最低季节变化和低温度梯度的地区显示出更高的同步性.
结论:
- 降水和温度之间的相互依赖是系统动态的强有力的指标.
- 非线性同步指标有效捕捉复杂的气候相互作用.
- 这些发现对气候变化影响评估和理解未来气候情景有影响.
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