Samir Córdoba-Machado a,b, Reiner Palomino-Lemus a,b, Sonia Raquel Gámiz-Fortis a, Yolanda Castro-Díez a, María Jesús Esteban-Parra a,

a Applied Physics Department, University of Granada, Granada, Spain

b Technological University of Chocó, Colombia



The predictability of the Magdalena River seasonal streamflow anomalies is evaluated using previous Sea Surface Temperature (SST), Precipitation (Pt) and Temperature over land (Tm) seasonal anomalies. Through a moving correlation analysis of 30 years, several regions that show stable significant teleconnections between the seasonal streamflow and SST, Pt and Tm from previous seasons have been identified during the period 1936–2009. For lags from one to four 3-month seasons (i.e. up to one year) for the SST and one to two seasons (i.e. up to six months) for Pt and Tm, the Magdalena River seasonal streamflow presents significant and stable correlations with the tropical Pacific SST (El Niño region), with Pt in South America and with Tm over the north of South America, mainly at lags of one and two seasons. The first PCs resulting from the significant and stable regions of the SST, Pt, and Tm fields are used in a forecast scheme to predict seasonal streamflow anomalies. The prediction based on this scheme shows an acceptable prediction skill and represents a relative improvement compared with the predictability of teleconnection indices associated with El Niño, which are traditionally used to predict streamflow in the country. This improvement is particularly more noticeable when lag between streamflow and predictors increases.

Samir Córdoba-Machadoa, Reiner Palomino-Lemusa, Sonia Raquel Gámiz-Fortisa, Yolanda Castro-Díeza, María Jesús Esteban-Parra. Seasonal streamflow prediction in Colombia using atmospheric and oceanic patterns . Journal of Hydrology Volume 538, July 2016, Pages 1–12