61 research outputs found

    Interannual prediction of the ParanĂĄ River

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    Interannual‐to‐decadal predictability of the Paraná river in South America is investigated by extracting near‐cyclic components in summer‐season streamflows at Corrientes over the period 1904–1997. It is found that oscillatory components with periods of about 2–5, 8 and 17 years are accompanied by statistically significant changes in monthly streamflow. Autoregressive predictive models are constructed for each component. Cross‐validated categorical hindcasts based on the 8‐yr predicted component are found to yield some skill up to four years in advance for below‐average flows. A prediction based upon the 8‐ and 17‐yr components including data up to 1999 suggests increased probability of below‐average flows until 2006

    ENSO coupling to the equatorial Atlantic: analysis with an extended improved recharge oscillator model

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    © 2023 Crespo-Miguel, Polo, Mechoso, RodrĂ­guez-Fonseca and Cao-GarcĂ­a. Weacknowledge Javier Jarillo and Lander R. Crespo for their help during the early stages of manuscript writing. We acknowledge the World Climate Research Programme’s Working Group on Coupled Modeling, responsible for CMIP, and we thank the climate modeling groups for producing and making available their model output. This work was financially supported by 817578 TRIATLAS project of the Horizon 2020 Programme (EU) and RTI2018095802-B-I00 and PID2021-125806NB-I00 of Ministerio de EconomĂ­a y Competitividad (Spain), Fondo Europeo de Desarrollo Regional (FEDER, EU), the European Union Seventh Framework Programme (EU-FP7/2007–2013) PREFACE (Grant Agreement No. 603521), the ERC STERCP project (grant 648982), the ARC Centre of Excellence in Climate Extremes (CE170100023) and the Spanish project (CGL201786415-R).Introduction: Observational and modeling studies have examined the interactions between El Niño-Southern Oscillation (ENSO) and the equatorial Atlantic variability as incorporated into the classical charge-recharge oscillator model of ENSO. These studies included the role of the Atlantic in the predictability of ENSO but assumed stationarity in the relationships, i.e., that models’ coefficients do not change overtime. Arecentworkbytheauthors has challenged the stationarity assumption in the ENSO framework but without considering the equatorial Atlantic influence on ENSO. Methods: The present paper addresses the changing relationship between ENSO and the Atlantic El Niño using an extended version of the recharge oscillator model. The classical two-variable model of ENSO is extended by adding a linear coupling on the SST anomalies in the equatorial Atlantic. The model’s coefficients are computed for different periods. This calculation is done using two methods tofitthemodel tothe data: (1) the traditional method (ReOsc), and (2) a novel method (ReOsc+) based on fitting the Fisher’s Z transform of the auto and cross-correlation functions. Results: Weshowthat, duringthe 20th century, the characteristic dampingrate of the SST and thermocline depth anomalies in the Pacific have decreased in time by a factor of 2 and 3, respectively. Moreover, the damping time of the ENSO fluctuations has doubled from 10 to 20 months, and the oscillation period of ENSO has decreased from 60-70 months before the 1960s to 50 months afterward. These two changes have contributed to enhancing ENSO amplitude. The results also show that correlations between ENSO and the Atlantic SST strengthened after the 70s and the way in which the impact of the equatorial Atlantic is added to the internal ENSO variability. Conclusions: The remote effects of the equatorial Atlantic on ENSO must be considered in studies of ENSO dynamics and predictability during specific time-periods. Our results provide further insight into the evolution of the ENSO dynamics anditscoupling to the equatorial Atlantic, as well as an improved tool to study the coupling of climatic and ecological variables.Depto. de Estructura de la Materia, FĂ­sica TĂ©rmica y ElectrĂłnicaDepto. de FĂ­sica de la Tierra y AstrofĂ­sicaFac. de Ciencias FĂ­sicasTRUEHorizon 2020 Programme (EU)Ministerio de EconomĂ­a y CompetitividadFondo Europeo de Desarrollo Regional (FEDER, EU)European Union Seventh Framework ProgrammeERC STERCP projectARC Centre of Excellence in Climate ExtremesSpanish projectpu
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