Climate dynamics in the tropical environment: distinguishing between change and variability

Abstract This review examines the intricate climate dynamics of tropical regions, focusing on the distinction between short-term variability and long-term climate change. Drawing on peer-reviewed studies, empirical evidence, and climate model outputs, it analyses key climatic drivers such as the El Niño–Southern Oscillation (ENSO), Madden–Julian Oscillation (MJO), and Atlantic Multi-Decadal Oscillation (AMO), all of which exert considerable influence on tropical weather systems. The findings suggest that natural variability continues to dominate tropical climate patterns, frequently obscuring the signals of long-term change. In particular, the masking effect of strong internal variability can delay the clear emergence of long-term climate trends, complicating both detection and attribution efforts. This complexity—intensified by spatial diversity and seasonal fluctuations—makes it challenging to detect trends and design effective climate policies. Misinterpreting variability as change, or vice versa, can result in poorly targeted or ineffective adaptation responses. The review highlights the need for resilience strategies that address both short-term variability and longer-term shifts. It advocates for enhanced climate observation networks, region-specific climate modelling, and the integration of local and indigenous knowledge systems. These steps are crucial for deepening understanding, improving prediction accuracy, and strengthening climate response mechanisms in the tropics.

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Publication Details

Journal
Environmental Research Communications
Published
2025-12-01
DOI
https://doi.org/10.1088/2515-7620/ae2a94
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
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article

Climate dynamics in the tropical environment: distinguishing between change and variability

Christiana Afolabi, Timothy O. Ogunbode, Aruna O. Adelkiya, Babatunde A. Opabunmi
Environmental Research Communications
Climate variability and models
article

Climate dynamics in the tropical environment: distinguishing between change and variability

Christiana Afolabi, Timothy O. Ogunbode, Aruna O. Adelkiya, Babatunde A. Opabunmi
article en

Abstract

Abstract This review examines the intricate climate dynamics of tropical regions, focusing on the distinction between short-term variability and long-term climate change. Drawing on peer-reviewed studies, empirical evidence, and climate model outputs, it analyses key climatic drivers such as the El Niño–Southern Oscillation (ENSO), Madden–Julian Oscillation (MJO), and Atlantic Multi-Decadal Oscillation (AMO), all of which exert considerable influence on tropical weather systems. The findings suggest that natural variability continues to dominate tropical climate patterns, frequently obscuring the signals of long-term change. In particular, the masking effect of strong internal variability can delay the clear emergence of long-term climate trends, complicating both detection and attribution efforts. This complexity—intensified by spatial diversity and seasonal fluctuations—makes it challenging to detect trends and design effective climate policies. Misinterpreting variability as change, or vice versa, can result in poorly targeted or ineffective adaptation responses. The review highlights the need for resilience strategies that address both short-term variability and longer-term shifts. It advocates for enhanced climate observation networks, region-specific climate modelling, and the integration of local and indigenous knowledge systems. These steps are crucial for deepening understanding, improving prediction accuracy, and strengthening climate response mechanisms in the tropics.

Environmental Research CommunicationsVol. 7(12)
Bowen University (NG)
Openalex Percentile: Top 63%
Climate variability and models
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Climate dynamics in the tropical environment: distinguishing between change and variability — Christiana Afolabi, Timothy O. Ogunbode, et al. · Environmental Research Communications (2025) | TGRS Research Map | TGRS