El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean
Abstract The aim of this pilot study conducted by the consortium for capacity building was to develop a prototype concept and methodology for the classification and visualization of the geographic impacts of El Niño on annual climates and seasonality. Our study is based on the Köppen–Geiger climate...
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Format: | Article |
Language: | English |
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SpringerOpen
2018-06-01
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Series: | International Journal of Disaster Risk Science |
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Online Access: | http://link.springer.com/article/10.1007/s13753-018-0176-7 |
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author | Lino Naranjo Michael H. Glantz Sayat Temirbekov Ivan J. Ramírez |
author_facet | Lino Naranjo Michael H. Glantz Sayat Temirbekov Ivan J. Ramírez |
author_sort | Lino Naranjo |
collection | DOAJ |
description | Abstract The aim of this pilot study conducted by the consortium for capacity building was to develop a prototype concept and methodology for the classification and visualization of the geographic impacts of El Niño on annual climates and seasonality. Our study is based on the Köppen–Geiger climate classification scheme for a set of selected countries affected by strong El Niños in Latin America. By identifying and visualizing the annual and seasonal changes in regional, national, or subnational climate regimes that generally accompany an El Niño event, this research proposes an efficient way to detect and describe climate shifts and variability across time and space. Such knowledge provides a support tool for risk analysis and can potentially enhance government efforts of climate risk management, including disaster risk reduction activities that prevent, mitigate, and improve coping responses to El Niño-related hydrometeorological threats. Details of the conceptual approach and methodology to classifying and mapping El Niño’s impacts are described and explained using the Central American and circum-Caribbean region as a case study. The potential applications for disaster risk reduction as well as its limitations and future work are also discussed. |
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id | doaj.art-2fb63702a8cc48a88a17faf334ca629e |
institution | Directory Open Access Journal |
issn | 2095-0055 2192-6395 |
language | English |
last_indexed | 2024-12-21T07:39:17Z |
publishDate | 2018-06-01 |
publisher | SpringerOpen |
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series | International Journal of Disaster Risk Science |
spelling | doaj.art-2fb63702a8cc48a88a17faf334ca629e2022-12-21T19:11:21ZengSpringerOpenInternational Journal of Disaster Risk Science2095-00552192-63952018-06-019222423610.1007/s13753-018-0176-7El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-CaribbeanLino Naranjo0Michael H. Glantz1Sayat Temirbekov2Ivan J. Ramírez3Consortium for Capacity Building/INSTAAR, University of ColoradoConsortium for Capacity Building/INSTAAR, University of ColoradoDepartment of Anthropology, Colorado State UniversityConsortium for Capacity Building/INSTAAR, University of ColoradoAbstract The aim of this pilot study conducted by the consortium for capacity building was to develop a prototype concept and methodology for the classification and visualization of the geographic impacts of El Niño on annual climates and seasonality. Our study is based on the Köppen–Geiger climate classification scheme for a set of selected countries affected by strong El Niños in Latin America. By identifying and visualizing the annual and seasonal changes in regional, national, or subnational climate regimes that generally accompany an El Niño event, this research proposes an efficient way to detect and describe climate shifts and variability across time and space. Such knowledge provides a support tool for risk analysis and can potentially enhance government efforts of climate risk management, including disaster risk reduction activities that prevent, mitigate, and improve coping responses to El Niño-related hydrometeorological threats. Details of the conceptual approach and methodology to classifying and mapping El Niño’s impacts are described and explained using the Central American and circum-Caribbean region as a case study. The potential applications for disaster risk reduction as well as its limitations and future work are also discussed.http://link.springer.com/article/10.1007/s13753-018-0176-7CaribbeanCentral AmericaDisaster risk reductionEl Niño impactsEl Niño seasonalityKöppen–Geiger classification |
spellingShingle | Lino Naranjo Michael H. Glantz Sayat Temirbekov Ivan J. Ramírez El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean International Journal of Disaster Risk Science Caribbean Central America Disaster risk reduction El Niño impacts El Niño seasonality Köppen–Geiger classification |
title | El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean |
title_full | El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean |
title_fullStr | El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean |
title_full_unstemmed | El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean |
title_short | El Niño and the Köppen–Geiger Classification: A Prototype Concept and Methodology for Mapping Impacts in Central America and the Circum-Caribbean |
title_sort | el nino and the koppen geiger classification a prototype concept and methodology for mapping impacts in central america and the circum caribbean |
topic | Caribbean Central America Disaster risk reduction El Niño impacts El Niño seasonality Köppen–Geiger classification |
url | http://link.springer.com/article/10.1007/s13753-018-0176-7 |
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