Statistical Interdependence between Daily Precipitation and Extreme Daily Temperature in Regions of Mexico and Colombia

Author:

Zabaleta-Ortega Álvaro1ORCID,Mercado-Fernández Teobaldis2ORCID,Reyes-Ramírez Israel1ORCID,Angulo-Brown Fernando3ORCID,Guzmán-Vargas Lev1ORCID

Affiliation:

1. Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Ciudad de México 07340, Mexico

2. Facultad de Ciencias Agrícolas, Universidad de Córdoba, Cra. 6 #77-305, Montería 230002, Colombia

3. Departamento de Física, Escuela Superior de Física y Matemáticas, Instituto Politécnico Nacional, Ciudad de México 07738, Mexico

Abstract

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.

Publisher

MDPI AG

Reference81 articles.

1. Detecting dynamical interdependence and generalized synchrony through mutual prediction in a neural ensemble;Schiff;Phys. Rev. E,1996

2. Measuring synchronization in coupled model systems: A comparison of different approaches;Kreuz;Phys. D Nonlinear Phenom.,2007

3. Disentangling synchrony from serial dependency in paired-event time series;Odenweller;Phys. Rev. E,2020

4. Araki, H. Self-entrainment of a population of coupled non-linear oscillators. Proceedings of the International Symposium on Mathematical Problems in Theoretical Physics.

5. Phase Synchronization of Chaotic Oscillators;Rosenblum;Phys. Rev. Lett.,1996

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3