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Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100
This study evaluates the validity of forecasting air temperature ranges in 2100 using the SimCLIM climate projection model at spatial and temporal scales within the Southern Levantine basin. The model utilized historical air temperature data from 2000 to 2016, collected at seven southeastern Mediter...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624864/ https://www.ncbi.nlm.nih.gov/pubmed/37923856 http://dx.doi.org/10.1038/s41598-023-46286-7 |
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author | Salama, Nada M. Cai, Rongshuo Tonbol, Kareem |
author_facet | Salama, Nada M. Cai, Rongshuo Tonbol, Kareem |
author_sort | Salama, Nada M. |
collection | PubMed |
description | This study evaluates the validity of forecasting air temperature ranges in 2100 using the SimCLIM climate projection model at spatial and temporal scales within the Southern Levantine basin. The model utilized historical air temperature data from 2000 to 2016, collected at seven southeastern Mediterranean stations, as well as 74 climate pattern ensembles integrated within SimCLIM. A combination of 40 global climate models (GCMs) and IPCC AR5 greenhouse gas emissions scenarios embedded in SimCLIM was employed to forecast mean, minimum, and maximum temperatures for 2100.The findings reveal that the average temperature increase in 2100, relative to the representative concentration pathways 2.6, 4.5, 6.0, and 8.5, will range between 0.8–1.17 °C, 1.48–2.0 °C, 2.1–3.8 °C, and 3.9–4.6 °C, respectively. Due to its acceptable accuracy, the SimCLIM model, incorporating 40 GCMs and 74 climate pattern ensembles, is highly recommended for forecasting future climate conditions. The model was evaluated using available temperature records in the study area, yielding a prediction percentage error of 2%, which strongly supports the use of SimCLIM. |
format | Online Article Text |
id | pubmed-10624864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106248642023-11-05 Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 Salama, Nada M. Cai, Rongshuo Tonbol, Kareem Sci Rep Article This study evaluates the validity of forecasting air temperature ranges in 2100 using the SimCLIM climate projection model at spatial and temporal scales within the Southern Levantine basin. The model utilized historical air temperature data from 2000 to 2016, collected at seven southeastern Mediterranean stations, as well as 74 climate pattern ensembles integrated within SimCLIM. A combination of 40 global climate models (GCMs) and IPCC AR5 greenhouse gas emissions scenarios embedded in SimCLIM was employed to forecast mean, minimum, and maximum temperatures for 2100.The findings reveal that the average temperature increase in 2100, relative to the representative concentration pathways 2.6, 4.5, 6.0, and 8.5, will range between 0.8–1.17 °C, 1.48–2.0 °C, 2.1–3.8 °C, and 3.9–4.6 °C, respectively. Due to its acceptable accuracy, the SimCLIM model, incorporating 40 GCMs and 74 climate pattern ensembles, is highly recommended for forecasting future climate conditions. The model was evaluated using available temperature records in the study area, yielding a prediction percentage error of 2%, which strongly supports the use of SimCLIM. Nature Publishing Group UK 2023-11-03 /pmc/articles/PMC10624864/ /pubmed/37923856 http://dx.doi.org/10.1038/s41598-023-46286-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Salama, Nada M. Cai, Rongshuo Tonbol, Kareem Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title | Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title_full | Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title_fullStr | Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title_full_unstemmed | Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title_short | Assessing SimCLIM climate model accuracy in projecting Southern Levantine basin air temperature trends up to 2100 |
title_sort | assessing simclim climate model accuracy in projecting southern levantine basin air temperature trends up to 2100 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10624864/ https://www.ncbi.nlm.nih.gov/pubmed/37923856 http://dx.doi.org/10.1038/s41598-023-46286-7 |
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