墨西哥和哥伦比亚地区日降水量与日极端气温之间的统计相互依存关系

IF 2.1 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-06-29 DOI:10.3390/e26070558
Álvaro Zabaleta-Ortega, Teobaldis Mercado-Fernández, Israel Reyes-Ramírez, Fernando Angulo-Brown, Lev Guzmán-Vargas
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引用次数: 0

摘要

我们利用线性(交叉相关性和一致性)和非线性(全球相位同步指数、互信息和跨样本熵)同步指标,研究了墨西哥(14 个气候站,1960-2020 年)和哥伦比亚(7 个气候站,1973-2020 年)地区日降水量和日极端气温之间的统计相互依存关系。在比较不同气候条件的地区时,这些变量之间共享的信息是相关的,并且会发生变化。我们发现,拉莫哈纳的降水和温度记录具有高持久性的特点,而墨西哥城的数据则表现出较低的持久性(记忆较少)。我们发现,拉莫哈纳地区(哥伦比亚)与墨西哥城(墨西哥)相比,降水和气温之间的信息交换和耦合程度更高,这表明季节变化几乎为零且气温梯度较低(局部变异性较小)的地区往往比季节变化非常明显的地区显示出更高的同步性。降水和气温之间的相互依存关系是描述和分析系统整体动态的一个可靠选择,适用于气候变化研究,以及在未来情景中不易识别的变化。
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Statistical Interdependence between Daily Precipitation and Extreme Daily Temperature in Regions of Mexico and Colombia
We study the statistical interdependence between daily precipitation and daily extreme temperature for regions of Mexico (14 climatic stations, period 1960–2020) and Colombia (7 climatic stations, period 1973–2020) using linear (cross-correlation and coherence) and nonlinear (global phase synchronization index, mutual information, and cross-sample entropy) synchronization metrics. The information shared between these variables is relevant and exhibits changes when comparing regions with different climatic conditions. We show that precipitation and temperature records from La Mojana are characterized by high persistence, while data from Mexico City exhibit lower persistence (less memory). We find that the information exchange and the level of coupling between the precipitation and temperature are higher for the case of the La Mojana region (Colombia) compared to Mexico City (Mexico), revealing that regions where seasonal changes are almost null and with low temperature gradients (less local variability) tend to display higher synchrony compared to regions where seasonal changes are very pronounced. The interdependence characterization between precipitation and temperature represents a robust option to characterize and analyze the collective dynamics of the system, applicable in climate change studies, as well as in changes not easily identifiable in future scenarios.
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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