Historical and projected trends in near-surface temperature indices for 22 locations in South Africa

Motivated by the risks posed by global warming, historical trends and future projections of near-surface temperature in South Africa have been investigated in a number of previous studies. These studies included the assessment of trends in average temperatures as well as extremes. In this study, his...

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Main Authors: Andries C. Kruger, Hannes Rautenbach, Sifiso Mbatha, Sandile Ngwenya, Thabo E. Makgoale
Format: Article
Language:English
Published: Academy of Science of South Africa 2019-05-01
Series:South African Journal of Science
Subjects:
Online Access:https://www.sajs.co.za/article/view/4846
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spelling doaj-bb28f4fdacbd44b6ba096784712ef0492020-11-25T01:31:35ZengAcademy of Science of South AfricaSouth African Journal of Science1996-74892019-05-011155/610.17159/sajs.2019/48464846Historical and projected trends in near-surface temperature indices for 22 locations in South AfricaAndries C. Kruger0Hannes Rautenbach1Sifiso Mbatha2Sandile Ngwenya3Thabo E. Makgoale41. Climate Service, South African Weather Service, Pretoria, South Africa 2. Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa1. Research and Development, South African Weather Service, Pretoria, South Africa 2. School of Health Systems and Public Health, University of Pretoria, Pretoria, South AfricaClimate Service, South African Weather Service, Pretoria, South AfricaClimate Service, South African Weather Service, Pretoria, South AfricaResearch and Development, South African Weather Service, Pretoria, South AfricaMotivated by the risks posed by global warming, historical trends and future projections of near-surface temperature in South Africa have been investigated in a number of previous studies. These studies included the assessment of trends in average temperatures as well as extremes. In this study, historical trends in near-surface minimum and maximum temperatures as well as extreme temperature indices in South Africa were critically investigated by comparing quality-controlled station observations with downscaled model projections. Because climate models are the only means of generating future global warming projections, this critical point comparison between observed and downscaled model simulated time series can provide valuable information regarding the interpretation of model-generated projections. Over the historical 1951–2005 period, both observed data and downscaled model projections were compared at 22 point locations in South Africa. An analysis of model projection trends was conducted over the period 2006–2095. The results from the historical analysis show that model outputs tend to simulate the historical trends well for annual means of daily maximum and minimum temperatures. However, noteworthy discrepancies exist in the assessment of temperature extremes. While both the historical model simulations and observations show a general warming trend in the extreme indices, the observational data show appreciably more spatial and temporal variability. On the other hand, model projections for the period 2006–2095 show that for the medium-to-low concentration Representative Concentration Pathway (RCP) 4.5, the projected decrease in cold nights is not as strong as is the case for the historically observed trends. However, the upward trends in warm nights for both the RCP4.5 and the high concentration RCP8.5 pathways are noticeably stronger than the historically observed trends. For cool days, future projections are comparable to the historically observed trends, but for hot days noticeably higher. Decreases in cold spells and increases in warm spells are expected to continue in future, with relatively strong positive trends on a regional basis. It is shown that projected trends are not expected to be constant into the future, in particular trends generated from the RCP8.5 pathway that show a strong increase in warming towards the end of the projection period. Significance: • Comparison between the observed and simulated trends emphasises the necessity to assess the reliability of the output of climate models which have a bearing on the credibility of projections. • The limitation of the models to adequately simulate the climate extremes, renders the projections conservative.https://www.sajs.co.za/article/view/4846surface temperaturetemperature trendsmodel projectionsclimate extremes
collection DOAJ
language English
format Article
sources DOAJ
author Andries C. Kruger
Hannes Rautenbach
Sifiso Mbatha
Sandile Ngwenya
Thabo E. Makgoale
spellingShingle Andries C. Kruger
Hannes Rautenbach
Sifiso Mbatha
Sandile Ngwenya
Thabo E. Makgoale
Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
South African Journal of Science
surface temperature
temperature trends
model projections
climate extremes
author_facet Andries C. Kruger
Hannes Rautenbach
Sifiso Mbatha
Sandile Ngwenya
Thabo E. Makgoale
author_sort Andries C. Kruger
title Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
title_short Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
title_full Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
title_fullStr Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
title_full_unstemmed Historical and projected trends in near-surface temperature indices for 22 locations in South Africa
title_sort historical and projected trends in near-surface temperature indices for 22 locations in south africa
publisher Academy of Science of South Africa
series South African Journal of Science
issn 1996-7489
publishDate 2019-05-01
description Motivated by the risks posed by global warming, historical trends and future projections of near-surface temperature in South Africa have been investigated in a number of previous studies. These studies included the assessment of trends in average temperatures as well as extremes. In this study, historical trends in near-surface minimum and maximum temperatures as well as extreme temperature indices in South Africa were critically investigated by comparing quality-controlled station observations with downscaled model projections. Because climate models are the only means of generating future global warming projections, this critical point comparison between observed and downscaled model simulated time series can provide valuable information regarding the interpretation of model-generated projections. Over the historical 1951–2005 period, both observed data and downscaled model projections were compared at 22 point locations in South Africa. An analysis of model projection trends was conducted over the period 2006–2095. The results from the historical analysis show that model outputs tend to simulate the historical trends well for annual means of daily maximum and minimum temperatures. However, noteworthy discrepancies exist in the assessment of temperature extremes. While both the historical model simulations and observations show a general warming trend in the extreme indices, the observational data show appreciably more spatial and temporal variability. On the other hand, model projections for the period 2006–2095 show that for the medium-to-low concentration Representative Concentration Pathway (RCP) 4.5, the projected decrease in cold nights is not as strong as is the case for the historically observed trends. However, the upward trends in warm nights for both the RCP4.5 and the high concentration RCP8.5 pathways are noticeably stronger than the historically observed trends. For cool days, future projections are comparable to the historically observed trends, but for hot days noticeably higher. Decreases in cold spells and increases in warm spells are expected to continue in future, with relatively strong positive trends on a regional basis. It is shown that projected trends are not expected to be constant into the future, in particular trends generated from the RCP8.5 pathway that show a strong increase in warming towards the end of the projection period. Significance: • Comparison between the observed and simulated trends emphasises the necessity to assess the reliability of the output of climate models which have a bearing on the credibility of projections. • The limitation of the models to adequately simulate the climate extremes, renders the projections conservative.
topic surface temperature
temperature trends
model projections
climate extremes
url https://www.sajs.co.za/article/view/4846
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