Spatial variability of cold waves over Southern Africa and their potential physical mechanisms

Despite significant evidence of global warming, cold waves still happen occasionally and are of great concern in regions such as Southern Africa as they are associated with negative impacts such as loss of lives, destruction of infrastructure, loss of crops and livestock and high peak demand of elec...

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Main Authors: Arlindo O Meque, Izidine S Pinto, Clifford Chuwah
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Environmental Research: Climate
Subjects:
Online Access:https://doi.org/10.1088/2752-5295/ad9f92
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author Arlindo O Meque
Izidine S Pinto
Clifford Chuwah
author_facet Arlindo O Meque
Izidine S Pinto
Clifford Chuwah
author_sort Arlindo O Meque
collection DOAJ
description Despite significant evidence of global warming, cold waves still happen occasionally and are of great concern in regions such as Southern Africa as they are associated with negative impacts such as loss of lives, destruction of infrastructure, loss of crops and livestock and high peak demand of electricity consumption. In this study, we examine the cold wave characteristics over the southern African region for the extended austral winter (May to September) over the 1979–2021 period, using minimum temperature from the European Centre for Medium-Range Weather Forecasts and Berkeley Earth Surface Temperature reanalysis products. Cold waves are calculated using the excess cold factor. Principal component analysis was performed on the cold waves to extract their dominant modes. Linear regression, Spearman rank correlation as well as lagged correlations were employed to find the links between the cold wave characteristics and different climate drives. Results from the study reveal that the lowest nighttime temperatures are found in interior South Africa and Lesotho. There is a decreasing trend in terms of the number of cold wave events over southern Africa, especially north of latitude 15˚S. Local and remote seasonal sea surface temperatures (SST) have the potential to change the likelihood of cold wave characteristics over Southern Africa. Also, seasonal mean circulation results contain seasonal mean ridge/trough structures, which suggests the role of these synoptic features and cold fronts in modulating cold waves over Southern Africa. A future study is needed to analyze the impact of these climate drivers at daily and intraseasonal timescales. There is moderate to high lead correlation between El Ninõ Southern Oscillation (ENSO) and some of the cold wave characteristics, hence ENSO, SST surrounding Southern Africa are good indicators for predicting cold waves over the region. Findings from this study can be useful in improving weather and climate forecasting over the region. Also, these results can support local authorities and communities at risk in developing early actions for tackling cold waves.
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spelling doaj-art-c8e6adcacecc4b5abf5f89ed0831bbde2024-12-27T14:32:47ZengIOP PublishingEnvironmental Research: Climate2752-52952024-01-013404502910.1088/2752-5295/ad9f92Spatial variability of cold waves over Southern Africa and their potential physical mechanismsArlindo O Meque0https://orcid.org/0000-0003-3961-7182Izidine S Pinto1https://orcid.org/0000-0002-9919-4559Clifford Chuwah2Joan B. Kroc School of Peace Studies, University of San Diego , San Diego, CA, United States of AmericaRoyal Netherlands Meteorological Institute (KNMI) , De Bilt, The NetherlandsIndependent Researcher , Den Haag, The NetherlandsDespite significant evidence of global warming, cold waves still happen occasionally and are of great concern in regions such as Southern Africa as they are associated with negative impacts such as loss of lives, destruction of infrastructure, loss of crops and livestock and high peak demand of electricity consumption. In this study, we examine the cold wave characteristics over the southern African region for the extended austral winter (May to September) over the 1979–2021 period, using minimum temperature from the European Centre for Medium-Range Weather Forecasts and Berkeley Earth Surface Temperature reanalysis products. Cold waves are calculated using the excess cold factor. Principal component analysis was performed on the cold waves to extract their dominant modes. Linear regression, Spearman rank correlation as well as lagged correlations were employed to find the links between the cold wave characteristics and different climate drives. Results from the study reveal that the lowest nighttime temperatures are found in interior South Africa and Lesotho. There is a decreasing trend in terms of the number of cold wave events over southern Africa, especially north of latitude 15˚S. Local and remote seasonal sea surface temperatures (SST) have the potential to change the likelihood of cold wave characteristics over Southern Africa. Also, seasonal mean circulation results contain seasonal mean ridge/trough structures, which suggests the role of these synoptic features and cold fronts in modulating cold waves over Southern Africa. A future study is needed to analyze the impact of these climate drivers at daily and intraseasonal timescales. There is moderate to high lead correlation between El Ninõ Southern Oscillation (ENSO) and some of the cold wave characteristics, hence ENSO, SST surrounding Southern Africa are good indicators for predicting cold waves over the region. Findings from this study can be useful in improving weather and climate forecasting over the region. Also, these results can support local authorities and communities at risk in developing early actions for tackling cold waves.https://doi.org/10.1088/2752-5295/ad9f92cold waves, Southern Africa, excess cold factor (ECF), ENSO
spellingShingle Arlindo O Meque
Izidine S Pinto
Clifford Chuwah
Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
Environmental Research: Climate
cold waves, Southern Africa, excess cold factor (ECF), ENSO
title Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
title_full Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
title_fullStr Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
title_full_unstemmed Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
title_short Spatial variability of cold waves over Southern Africa and their potential physical mechanisms
title_sort spatial variability of cold waves over southern africa and their potential physical mechanisms
topic cold waves, Southern Africa, excess cold factor (ECF), ENSO
url https://doi.org/10.1088/2752-5295/ad9f92
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AT izidinespinto spatialvariabilityofcoldwavesoversouthernafricaandtheirpotentialphysicalmechanisms
AT cliffordchuwah spatialvariabilityofcoldwavesoversouthernafricaandtheirpotentialphysicalmechanisms