2010
DOI: 10.1007/s00382-010-0931-y
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Hydro-climatic variability over the Andes of Colombia associated with ENSO: a review of climatic processes and their impact on one of the Earth’s most important biodiversity hotspots

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Cited by 217 publications
(208 citation statements)
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References 74 publications
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“…On the other hand, the process variables (PRC and EVP) are the most complex in the region HPREC= 0.76 and HEVP= 0.71. This result confirms the diversity of factors that make part of the hydro-climatic variance at interannual timescale, thus reflecting the implicit complexity of the linkages between these two processes over TropSA [44,46,59,[70][71][72]. The high entropy of EVP can be also explained in terms of the multivariate influence of water and energy fluxes in TropSA [22,47,73].…”
Section: Svd Noise Reduction and Entropysupporting
confidence: 71%
“…On the other hand, the process variables (PRC and EVP) are the most complex in the region HPREC= 0.76 and HEVP= 0.71. This result confirms the diversity of factors that make part of the hydro-climatic variance at interannual timescale, thus reflecting the implicit complexity of the linkages between these two processes over TropSA [44,46,59,[70][71][72]. The high entropy of EVP can be also explained in terms of the multivariate influence of water and energy fluxes in TropSA [22,47,73].…”
Section: Svd Noise Reduction and Entropysupporting
confidence: 71%
“…The discharge pattern of the Magdalena to the Mompós Depression is largely determined by the Inter Tropical Convergence Zone (ITCZ), which annually oscillates from the Equator to the northern Andes and back, resulting in two rainy seasons: April-May and September-November (Poveda et al, 2011). This weather pattern typically results in predictable bimodal discharge peaks in April-May and October-November (Poveda et al, 2001;Smith, 1986).…”
Section: System Descriptionmentioning
confidence: 99%
“…This weather pattern typically results in predictable bimodal discharge peaks in April-May and October-November (Poveda et al, 2001;Smith, 1986). The roles of topography, soil-atmosphere interactions, the Atlantic Ocean, and the Amazon also influence temporal and spatial rainfall patterns, resulting in the bimodal character not being equally strong across the basin (Poveda et al, 2011). The lower basin near the Caribbean coast -including the Mompós Depression -is often suggested to be unimodal in character, and the southeastern portion of the basin (approximately below 2 • N) is characterized by a distinct unimodal pattern, with a June-August wet season (IDEAM, 2014).…”
Section: System Descriptionmentioning
confidence: 99%
“…LXXVI, 279, pp. 557-578, julio-diciembre 2015ISSN: 0014-1496, eISSN: 1988 571 ÍNDICE ESTANDARIZADO DE PRECIPITACIÓN (SPI) PARA LA CARACTERIZACIÓN... asociar la serie trimestral las series del ONI con el SPI trimestral; el ONI es un índice que relaciona las temperaturas superficiales del Océano Pacifico en la región conocida como Niño 3-4, que es la que tiene mayor asociación con la climatología Colombiana, según estudios precedentes (Poveda et al, 2010;Mesa, 2008;Carvajal, 2004); las correlaciones significativas del ONI con el SPI, alcanzaron valores entre -0,28 y -0,40 en las estaciones; el signo negativo indica que la temperatura del Océano en ésta región del Pacífico es inversamente proporcional al valor del SPI. Similares resultados, se obtuvieron, correlacionando las series del MEI con el SPI, índice basado en 6 variables principales sobre el Océano Pacífico Tropical, que monitorean el comportamiento del ENOS; estas 6 variables son presión al nivel del océano, componentes zonales y meridionales del viento superficial, temperatura superficial del océano, temperatura del aire superficial, y la fracción total de nubosidad del cielo, (Wolter, 1987).…”
Section: Metodologíaunclassified