Changing Rainfall Patterns and Their Climatic Drivers in One of the Rainiest Places on Earth, Debundscha, Gulf of Guinea

IF 2.8 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Elias Nkiaka, Suiven John Paul Tume
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引用次数: 0

Abstract

Debundscha is ranked amongst the top rainiest places on Earth, yet there is a paucity of information on rainfall trends and their drivers in the area. However, the increasing frequency and intensity of hydrometeorological disasters, declining crop yields, and rising water scarcity in the area underscore the urgent need to investigate changing rainfall patterns and the climatic modes influencing rainfall in the area. Trend analysis using the Mann-Kendall test shows non-statistically significant declining trends in annual and seasonal rainfall in Debundscha (1972–2009) and other stations, except Limbe, which exhibits statistically significant increasing trends in annual and seasonal rainfall (1985–2015). Statistical analysis using partial least squares regression reveals that the Atlantic Multidecadal Oscillation (AMO), Southern Oscillation Index, Indian Ocean Dipole Western Pool Index, global sea surface temperature (GSST), Multivariate ENSO Index, and El Niño-Southern Oscillation are the dominant climatic modes influencing annual and seasonal rainfall in the study area. However, a different set of climatic modes affects rainfall at each station, with AMO and GSST strongly associated with annual rainfall in Debundscha. Analysing rainfall in high precipitation areas like Debundscha is essential for understanding how these regions are affected by changing climate patterns. On the other hand, identifying the main climatic modes influencing local rainfall is crucial for creating accurate seasonal and sub-seasonal forecasts. These forecasts can help reduce hydrometeorological risks, improve water management, and increase agricultural productivity.

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变化的降雨模式及其气候驱动因素在地球上多雨的地方之一,几内亚湾的Debundscha
Debundscha是世界上降雨最多的地区之一,但关于该地区降雨趋势及其驱动因素的信息却很少。然而,该地区水文气象灾害的频率和强度不断增加,作物产量下降,水资源短缺加剧,迫切需要调查不断变化的降雨模式和影响该地区降雨的气候模式。使用Mann-Kendall检验的趋势分析显示,除Limbe站外,Debundscha站(1972-2009)和其他站的年和季节降雨量均呈现出统计上显著的下降趋势(1985-2015)。利用偏最小二乘回归的统计分析表明,大西洋多年代际涛动(AMO)、南方涛动指数、印度洋偶极子西池指数、全球海温(GSST)、多元ENSO指数和El Niño-Southern涛动是影响研究区年和季节降水的主要气候模式。然而,不同的气候模式影响每个站的降雨量,其中AMO和GSST与Debundscha的年降雨量密切相关。分析Debundscha这样的高降水地区的降雨对于了解这些地区如何受到气候模式变化的影响至关重要。另一方面,确定影响当地降雨的主要气候模式对于建立准确的季节和分季节预报至关重要。这些预报有助于减少水文气象风险,改善水资源管理,提高农业生产力。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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