RESUMENLas zonas de surgencia y la presencia de clorofila a en la región del Panamá Bight (golfo de Panamá) fueron comparadas en una escala mensual. Las variables utilizadas fueron la velocidad vertical de surgencia estimada mediante el software EVA. V.2.0 y la concentración de clorofila a obtenida de imágenes satelitales SeaWifs. El estudio fue realizado para el área costera entre 6° 30' y 2° N y en los tres principales focos de ascenso de agua, el primero ubicado entre 83-84° W y 1° 30'-2° 30' N, el segundo entre 81-82° W y 1° 30'-2° 30' N, y el tercero entre 82-83° W y 2° 30'-3° 30' N. Los resultados muestran la asociación directa entre la concentración de clorofila a y la surgencia durante todo el año. El estudio también resalta que el desplazamiento de la zona de convergencia intertropical ZCIT determina la variabilidad estacional del proceso de ascenso, atenuándolo cuando pasa sobre el área de estudio y reforzándolo mientras se aleja. El análisis de correlación entre las variables bajo estudio dio como resultado coeficientes estadísticamente significativos entre 0.5 y 0.9 en los tres focos principales y valores no significativos en la zona costera.Palabras clave: afloramiento, Pacífico colombiano, ZCIT, imágenes satelitales.
Monthly rate variation upwelling and chlorophyll a in the region of Panama Bight ABSTRACTThe influence of the migration of the ITCZ on the climatic variability of the upwelling vertical velocity (Vz) and the spatial-temporal behavior of upwelling spots over the CPO was determined. This influence was corroborated by the presence of chlorophyll a in the upwelling zones. Vz values were calculated with EVA . V.2.0 software. The chlorophyll a content was extracted from satellite
The influence of El Niño Southern Oscillation (ENSO) on Colombia's hydrological variables has been shown in different studies. Most of the methodologies implemented have identified linear relationships and have associated the warm (cold) phase called El Niño (La Niña) with negative (positive) rainfall and streamflow anomalies. One of the most adverse impacts founded is the reduction in water supply during the warm phase. Therefore, it is necessary to study the linkage between ENSO and precipitation variability for efficient management of water resources. Consequently, the present paper has two purposes. The first one is to explore nonlinear correlations of the ENSO-precipitation relationship, particularly for specific regions where the freshwater resources have been significantly reduced during El Niño events. The second one is to identify which indices will enable in improving the predictability of hydro-climatological variables. The research was based on the wavelet coherence analysis of monthly precipitation time series from 1981-2016 and the ENSO indices for the same period. The results show that ENSO events influence the precipitation as periods of rainfall deficit or excess. Also, precipitation is organized in bands and that the 2–8-year scales explain most of their variance. The most significant sectors are those that cover El Niño events. In contrast, sectors are smaller when La Niña episodes. Then impacts on precipitation tend to be greater for warm events. Results also allowed to identify that El Niño 3, Niño 3,4, ONI, and BEST indices can be good indicators for forecasting work in these specific places. The use of two kinds of data, one in situ and the other from CHIRPS program, allows to establish the feasibility of using data from satellite origin in regions without enough information; the results showed that CHIRPS data tend to report fewer anomalies than data in situ. However, the coherence structure is similar, but in periods between 36 and 48 months, there were discrepancies of pi/4 in the phase difference, that is, between 3 and 6 months of difference in lags calculated with each database.
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