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A climatology of low level wind regimes over Central America using a weather type classification approach

Artículo científico
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Date
2015-04
Author
Sáenz Soto, Fernán
Durán Quesada, Ana María
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Abstract
Based on the potential of the weather types classification method to study synoptic features, this study proposes the application of such methodology for the identification of the main large scale patterns related with weather in Central America. Using ERA Interim low-level winds in a domain that encompasses the intra-Americas sea, the eastern tropical Pacific, southern North America, Central America and northern South America, the K-means clustering algorithm was applied to find recurrent regimes of low-level winds. Eleven regimes were identified and good coherency between the results and known features of regional circulation was found. It was determined that the main large scale patterns can be either locally forced or a response to tropical-extratropical interactions. Moreover, the local forcing dominates the summer regimes whereas mid latitude interactions lead to winter regimes. The study of the relationship between the large scale patterns and regional precipitation shows that winter regimes are related with the Caribbean-Pacific precipitation seesaw. Summer regimes, on the other hand, enhance the Caribbean-Pacific precipitation with contrasting distribution as a function of the dominant regimes. A strong influence of ENSO on the frequency and duration of the regimes was found. It was determined that the specific effect of ENSO on the regimes depends on whether the circulation is locally forced or lead by the interaction between the tropics and the mid-latitudes. The study of the cold surges using the information of the identified regimes revealed that three regimes are linkable with the occurrence of cold surges that affect Central America and its precipitation. As the winter regimes are largely dependent of mid-latitude interaction with the tropics, the effect that ENSO has on the Jet Stream is reflected in the winter regimes. An automated analysis of large scale conditions based on reanalysis and/or model data seems useful for both dynamical studies and as a tool to support forecasting. The application of the approach implemented in this study may be promising to improve current understanding on how large scale conditions affect regional weather.
URI
http://hdl.handle.net/10669/76081
External link to the item
10.3389/feart.2015.00015
https://www.frontiersin.org/articles/10.3389/feart.2015.00015/full
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  • Repositorios universitarios

  • Repositorio del SIBDI-UCR
  • Biblioteca Digital del CIICLA
  • Repositorio Documental Rafael Obregón Loría (CIHAC)
  • Biblioteca Digital Carlos Melendez (CIHAC)
  • Repositorio de Fotografías
  • Colección de videos de UPA-VAS
  • Sitios recomendados

  • Buscador regional de LA Referencia
  • Buscador del Open ROAR
  • Scientific Electronic Library Online (SciELO)
  • Directory of Open Access Journals (DOAJ)
  • Redalyc
  • Redes sociales

  • facebook.com/repositoriokerwa
  • @Ciencia_UCR
  • Sobre Kérwá
  • Acceso Abierto
  • Cómo depositar
  • Políticas
Contact Us | Send Feedback
Repositorio Institucional de la Universidad de Costa Rica. Algunos derechos reservados. Este repositorio funciona con DSpace.
Universidad de Costa Rica