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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Main Authors: Lino Naranjo, Michael H. Glantz, Sayat Temirbekov, Ivan J. Ramírez
Format: Article
Language:English
Published: SpringerOpen 2018-06-01
Series:International Journal of Disaster Risk Science
Subjects:
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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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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