This work presents an assessment of the predictability and skill of climate anomalies over South America. The study was made considering a multi-model ensemble of seasonal forecasts for surface air temperature, precipitation ...

This study explores the predictive skill of seasonal rainfall characteristics for the first rainy (and planting) season, May–June, in Central America. Statistical predictive models were built using a Model Output Statistics ...

This study explores the predictive skill of seasonal rainfall characteristics for the first rainy (and planting) season, May–June, in Central America. Statistical predictive models were built using a Model Output Statistics ...

The normalized difference vegetation index (NDVI) is a strong and widely used proxy for bird species richness in urban environments. However, its potential to predict composition and seasonal dynamics of bird communities ...

The aim of this work is to quantify the influence of the position and intensity of the South Pacific High (SPH) over seasonal rainfall in Argentina. Some indices were defined to measure the position and intensity of the ...

Recent assessment analyses in Central America showed that trends in the annual number of impacts and disasters related with hydro-meteorology causes cannot be explained by climate trends only. That means that other ...

Recent assessment analyses in Central America showed that trends in the annual number of impacts and disasters related with hydro-meteorology causes cannot be explained by climate trends only. That means that other ...

Although differences exist between seasonal- and decadal-scale climate variability, predictability, and prediction, investment in observations, prediction systems, and decision systems for either time scale can benefit both.