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      Observed trends and projections of temperature and precipitation in the Olifants River Catchment in South Africa

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          Abstract

          Among the projected effects of climate change, water resources are at the center of the matrix. Certainly, the southern African climate is changing, consequently, localized studies are needed to determine the magnitude of anticipated changes for effective adaptation. Utilizing historical observation data over the Olifants River Catchment, we examined trends in temperature and rainfall for the period 1976–2019. In addition, future climate change projections under the RCP 4.5 and RCP 8.5 scenarios for two time periods of 2036–2065 (near future) and 2066–2095 (far future) were analysed using an ensemble of eight regional climate model (RCA4) simulations of the CORDEX Africa initiative. A modified Mann-Kendall test was used to determine trends and the statistical significance of annual and seasonal rainfall and temperature. The characteristics of extreme dry conditions were assessed by computing the Standardized Precipitation Index (SPI). The results suggest that the catchment has witnessed an increase in temperatures and an overall decline in rainfall, although no significant changes have been detected in the distribution of rainfall over time. Furthermore, the surface temperature is expected to rise significantly, continuing a trend already evident in historical developments. The results further indicate that the minimum temperatures over the Catchment are getting warmer than the maximum temperatures. Seasonally, the minimum temperature warms more frequently in the summer season from December to February (DJF) and the spring season from September to November (SON) than in the winter season from June to August (JJA) and in the autumn season from March to May (MAM). The results of the SPI affirm the persistent drought conditions over the Catchment. In the context of the current global warming, this study provides an insight into the changing characteristics of temperatures and rainfall in a local context. The information in this study can provide policymakers with useful information to help them make informed decisions regarding the Olifants River Catchment and its resources.

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          An Overview of CMIP5 and the Experiment Design

          The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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            The representative concentration pathways: an overview

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              The CNRM-CM5.1 global climate model: description and basic evaluation

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 August 2022
                2022
                : 17
                : 8
                : e0271974
                Affiliations
                [1 ] South African Weather Service, Pretoria, South Africa
                [2 ] School for Health Systems and Public Health, University of Pretoria, Pretoria, South Africa
                [3 ] Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, South Africa
                [4 ] School of Agricultural, Earth and Environmental Sciences, University of KwaZulu‐Natal, Westville Campus, Durban, South Africa
                Universiti Sains Malaysia, MALAYSIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-6105-7110
                Article
                PONE-D-21-31259
                10.1371/journal.pone.0271974
                9362909
                35944022
                fe6cb930-eebb-4d89-90a6-50918986384b
                © 2022 Adeola et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 September 2021
                : 11 July 2022
                Page count
                Figures: 11, Tables: 7, Pages: 21
                Funding
                Funded by: South32
                Award Recipient :
                Partial funding for the background research was received from the South32 mining company. There was no additional external funding received for this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Earth Sciences
                Seasons
                Earth Sciences
                Atmospheric Science
                Meteorology
                Rain
                Ecology and Environmental Sciences
                Drought
                Earth Sciences
                Seasons
                Spring
                People and places
                Geographical locations
                Africa
                South Africa
                Earth Sciences
                Seasons
                Summer
                Earth Sciences
                Seasons
                Winter
                Custom metadata
                The data process is done using R Software which includes several packages for mapping NetCDF data. Sample data and scripts used for this study are made available on Open Science Framework at https://osf.io/8rhn2 and https://osf.io/3d9j4.

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