Extension and application of an observation-based local climate index aimed to anticipate the impact of El Niño–Southern Oscillation events on Colombia

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Título: Extension and application of an observation-based local climate index aimed to anticipate the impact of El Niño–Southern Oscillation events on Colombia
Autor/es: Sayol, Juan Manuel | Vásquez, Laura M. | Valencia, Jorge L. | Linero-Cueto, Jean R. | Garcia-Garcia, David | Vigo, Isabel | Orfila, Alejandro
Grupo/s de investigación o GITE: Geodesia por Satélites para la Observación de la Tierra y el Cambio Climático / Satellite Geodesy for Earth Observation and Climate Studies (SG)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Matemática Aplicada
Palabras clave: Colombia | El Niño | El Niño–Southern Oscillation | Equatorial Kelvin waves | La Niña | Modified Tumaco multivariate index | Rainfall forecasting | Tumaco multivariate index
Área/s de conocimiento: Matemática Aplicada
Fecha de publicación: 2-feb-2022
Editor: John Wiley & Sons | Royal Meteorological Society
Cita bibliográfica: International Journal of Climatology. 2022, 42(11): 5403-5429. https://doi.org/10.1002/joc.7540
Resumen: The Tumaco multivariate index (TMI) is a multidecadal monthly index constructed with unique time series of sea surface temperature, surface air temperature and rain measured at Tumaco bay, in the southern Pacific coast of Colombia, and available since 1961. In this work, this index is re-evaluated after the addition of in situ sea level data, and its properties for different standardization periods are compared against oceanic El Niño–Southern Oscillation (ENSO) and other derived indices. In particular, we propose a modified TMI, hereinafter referred as TMI4, whose potential to identify the expected sign and the amount of future variations of rain induced by ENSO events in Colombia is analysed for selected extreme episodes. Results indicate that after the inclusion of sea level data, TMI4 can anticipate the development of El Niño events before the ENSO 3 and some other sea surface temperature-based regional indices, although its predictability depends on the ENSO type (canonical or Modoki). The explanation is that sea level includes new information into TMI4 on the onset of El Niño events. In particular, the signal of intraseasonal sea level anomalies carried by downwelling Kelvin waves is detected at Tumaco tide-gauge. Moreover, the analysis of the differences, both in magnitude and spatial distribution, of rainfall anomalies induced by positive (El Niño) and negative (La Niña) ENSO events characterized by TMI4 are regionally presented. As a result, we find that TMI4 is especially suited for extensive northern and western areas of mainland Colombia. For completeness, in the appendix we briefly introduce the semi-automated implementation of TMI4, including a visual interface, which is currently being tested by personnel within the operational oceanography area at Centro de Investigaciones Oceanográficas e Hidrográficas del Pacífico (Dimar-CCCP).
Patrocinador/es: J. M. Sayol, L. M. V asquez and J. L. Valencia thank funding from Centro de Investigaciones Oceanográficas e Hidrográficas del Pacífico – Dirección General Marítima de Colombia (Dimar), Ministry of National Defense of Colombia. J. M. Sayol also thanks the joint funding received from the Generalitat Valenciana and the European Social Fund under Grant APOSTD/2020/254. The work of DGG and IV was partially supported by Spanish Project RTI2018-093874-B-100 funded by MCIN/AEI/10.13039/501100011033 and by the Generalitat Valenciana Grant PROMETEO/2021/030. A. Orfila acknowledges financial support from FEDER/Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación through MOCCA project (grant # RTI2018-093941-B-C31).
URI: http://hdl.handle.net/10045/121844
ISSN: 0899-8418 (Print) | 1097-0088 (Online)
DOI: 10.1002/joc.7540
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: © 2022 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of Royal Meteorological Society. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Revisión científica: si
Versión del editor: https://doi.org/10.1002/joc.7540
Aparece en las colecciones:INV - SG - Artículos de Revistas

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