In this study we identified a significant low frequency variability (8 to 20 years) that characterizes the hydroclimatology over the Central Andes. Decadal–interdecadal variability is related to the central-western Pacific Ocean (R² = 0.50) and the zonal wind at 200 hPa above the Central Andes (R² = 0.66). These two oceanic–atmospheric variables have a dominant decadal–interdecadal variability, and there is a strong relationship between them at a low frequency time scale (R² = 0.66). During warming decades in the central-western Pacific Ocean, westerlies are intensified at 200 hPa above the Central Andes, which produce decadal periods of hydrological deficit over this region. In contrast, when the central-western Pacific Ocean is cooler than usual, easterly anomalies prevail over the Central Andes, which are associated with decades of positive hydrological anomalies over this re...

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Universidad Nacional Agraria La Molina. Facultad de Ingeniería Agrícola. Departamento Académico de Recursos Hídricos

This paper documents the spatiotemporal evolution of wet‐day and dry‐day frequency (WDF and DDF) in the western Amazon, its relationships with oceanic and atmospheric variability and possible impact on vegetation. WDF and DDF changed significantly during the 1980–2009 period (p < 0.05). An increase in WDF is observed after 1995 over the northern part of the western Amazon (Marañón basin). The average annual value of WDF changed from 22 days/yr before 1995 to 34 days after that date (+55% after 1995). In contrast, DDF increased significantly over the central and southern part of this region (Ucayali basin) after 1986. Average annual DDF was 16.2 days before 1986 and 23.8 days afterward (+47% after 1986). Interannual variability in WDF appears to be modulated by changes in Pacific SST and the Walker cell during the November–March season. This mechanism enhances convective act...

El propósito de este trabajo es estudiar y entender la dinámica del afloramiento costero bajo condiciones promedio usando del modelo numérico de alta resolución ROMS. Dicho modelo es configurado usando dos diferentes resoluciones espaciales (i.e., dos tamaños de grilla diferentes) y aplicando las mismas condiciones iniciales y de frontera a fin de entender las consideraciones dinámicas que se deben tomar en cuenta para modelar la dinámica del afloramiento costero durante las diferentes fases de El Niño – Oscilación del Sur (ENSO).