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Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP)
Extreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762667/ https://www.ncbi.nlm.nih.gov/pubmed/36569783 http://dx.doi.org/10.1007/s41748-022-00337-7 |
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author | Avila-Diaz, Alvaro Torres, Roger Rodrigues Zuluaga, Cristian Felipe Cerón, Wilmar L. Oliveira, Lais Benezoli, Victor Rivera, Irma Ayes Marengo, Jose Antonio Wilson, Aaron B. Medeiros, Felipe |
author_facet | Avila-Diaz, Alvaro Torres, Roger Rodrigues Zuluaga, Cristian Felipe Cerón, Wilmar L. Oliveira, Lais Benezoli, Victor Rivera, Irma Ayes Marengo, Jose Antonio Wilson, Aaron B. Medeiros, Felipe |
author_sort | Avila-Diaz, Alvaro |
collection | PubMed |
description | Extreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The performance of High Resolution Model Intercomparison Project (HighResMIP) models is evaluated using the Expert Team on Climate Change Detection and Indices (ETCCDI) over the 1981–2014 period and future changes (2021–2050) under Shared Socioeconomic Pathway SSP5–8.5, over ten regions in Latin America and the Caribbean. The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model’s grid (sg): (i) low (0.8° ≤ sg ≤ 1.87°), (ii) intermediate (0.5° ≤ sg ≤ 0.7°), and (iii) high (0.23° ≥ sg ≤ 0.35°). Our analysis indicates that there was no clear evidence to support the posit that increasing horizontal resolution improves model performance. The ECMWF-IFS family of models appears to be a plausible choice to represent climate extremes, followed by the ensemble mean of HighResMIP in their intermediate resolution. For future climate, the projections indicate a consensus of temperature and precipitation climate extremes increase across most of the ten regions. Despite the uncertainties presented in this study, climate models have been and will continue to be an important tool for assessing risk in the face of extreme events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41748-022-00337-7. |
format | Online Article Text |
id | pubmed-9762667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-97626672022-12-20 Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) Avila-Diaz, Alvaro Torres, Roger Rodrigues Zuluaga, Cristian Felipe Cerón, Wilmar L. Oliveira, Lais Benezoli, Victor Rivera, Irma Ayes Marengo, Jose Antonio Wilson, Aaron B. Medeiros, Felipe Earth Syst Environ Original Article Extreme temperature and precipitation events are the primary triggers of hazards, such as heat waves, droughts, floods, and landslides, with localized impacts. In this sense, the finer grids of Earth System models (ESMs) could play an essential role in better estimating extreme climate events. The performance of High Resolution Model Intercomparison Project (HighResMIP) models is evaluated using the Expert Team on Climate Change Detection and Indices (ETCCDI) over the 1981–2014 period and future changes (2021–2050) under Shared Socioeconomic Pathway SSP5–8.5, over ten regions in Latin America and the Caribbean. The impact of increasing the horizontal resolution in estimating extreme climate variability on a regional scale is first compared against reference gridded datasets, including reanalysis, satellite, and merging products. We used three different groups based on the resolution of the model’s grid (sg): (i) low (0.8° ≤ sg ≤ 1.87°), (ii) intermediate (0.5° ≤ sg ≤ 0.7°), and (iii) high (0.23° ≥ sg ≤ 0.35°). Our analysis indicates that there was no clear evidence to support the posit that increasing horizontal resolution improves model performance. The ECMWF-IFS family of models appears to be a plausible choice to represent climate extremes, followed by the ensemble mean of HighResMIP in their intermediate resolution. For future climate, the projections indicate a consensus of temperature and precipitation climate extremes increase across most of the ten regions. Despite the uncertainties presented in this study, climate models have been and will continue to be an important tool for assessing risk in the face of extreme events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s41748-022-00337-7. Springer International Publishing 2022-12-19 2023 /pmc/articles/PMC9762667/ /pubmed/36569783 http://dx.doi.org/10.1007/s41748-022-00337-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 | Original Article Avila-Diaz, Alvaro Torres, Roger Rodrigues Zuluaga, Cristian Felipe Cerón, Wilmar L. Oliveira, Lais Benezoli, Victor Rivera, Irma Ayes Marengo, Jose Antonio Wilson, Aaron B. Medeiros, Felipe Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title | Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title_full | Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title_fullStr | Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title_full_unstemmed | Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title_short | Current and Future Climate Extremes Over Latin America and Caribbean: Assessing Earth System Models from High Resolution Model Intercomparison Project (HighResMIP) |
title_sort | current and future climate extremes over latin america and caribbean: assessing earth system models from high resolution model intercomparison project (highresmip) |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9762667/ https://www.ncbi.nlm.nih.gov/pubmed/36569783 http://dx.doi.org/10.1007/s41748-022-00337-7 |
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