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Título : Attribution of Amazon floods to modes of climate variability: A review
Autor : Towner, Jamie
Cloke, Hannah L.
Lavad, Waldo
Santini, William
Bazo Zambrano, Juan Carlos
Coughlan de Perez, Erin
Stephens, Elisabeth M.
Palabras clave : Amazon basin
El Niño Southern Oscillation
Floods
Hydroclimatic drivers
Madden–JulianOscillation
River flow
Fecha de publicación : 2020
Editorial : John Wiley & Sons
Resumen : Anomalous conditions in the oceans and atmosphere have the potential to beused to enhance the predictability of flood events, enabling earlier warnings toreduce risk. In the Amazon basin, extreme flooding is consistently attributedto warmer or cooler conditions in the tropical Pacific and Atlantic oceans, withsome evidence linking floods to other hydroclimatic drivers such as theMadden–Julian Oscillation (MJO). This review evaluates the impact of severalhydroclimatic drivers on rainfall and river discharge regimes independently,aggregating all the information of previous studies to provide an up-to-datedepiction of what we currently know and do not know about how variationsin climate impact flooding in the Amazon. Additionally, 34 major flood eventsthat have occurred since 1950 in the Amazon and their attribution to climateanomalies are documented and evaluated. This review finds that despite com-mon agreement within the literature describing the relationship betweenphases of climate indices and hydrometeorological variables, results linkingclimate anomalies and flood hazard are often limited to correlation rather thanto causation, while the understanding of their usefulness for flood forecastingis weak. There is a need to understand better the ocean–atmosphere responsemechanisms that led to previous flood events. In particular, examining the oce-anic and atmospheric conditions preceding individual hydrological extremes,as opposed to composite analysis, could provide insightful information into themagnitude and spatial distribution of anomalous sea surface temperaturesrequired to produce extreme floods. Importantly, such an analysis could pro-vide meaningful thresholds on which to base seasonal flood forecasts.
URI : http://repositorio.utp.edu.pe/handle/UTP/3497
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