Nowadays, mathematical models are widely used to predict climate processes, but little has
been done to compare the models. In this study, multiple linear regression (MLR), multi-layer …

Interest in semiarid climate forecasting has prominently grown due to risks associated with
above average levels of precipitation amount. Longer-lead forecasts in semiarid watersheds …

In this study we analyzed the spatiotemporal variability of streamflow droughts in the Iberian
Peninsula from 1945 to 2005. Streamflow series belonging to 187 homogeneously …

Large-scale climatic circulation modulates the weather patterns around the world.
Understanding the teleconnections between large-scale circulation and local hydro …

In this study we analyzed the influence of the North Atlantic Oscillation (NAO) on the
streamflow in 187 sub-basins of the Iberian Peninsula. Monthly and one-month lagged …

Over recent decades Europe has experienced heavy floods, with major consequences for
thousands of people and billions of euros worth of damage. In particular, the summer of …

We explored the possible effects of the North Atlantic Oscillation (NAO) and Arctic Oscillation
(AO) on interannual sea surface temperature (SST) variations in the Alborán Sea, both …

The aim of this paper is to test the ability of neural network approaches to hindcast the spring
standardized precipitation index on a 6‐month time scale (SPI6) in Portugal, based on …

Identifying the relationship between large‐scale climate signals and seasonal streamflow
may provide a valuable tool for long‐range seasonal forecasting in regions under water …

Climate extreme events are becoming increasingly frequent worldwide, causing floods,
drought, forest fires, landslides and heat or cold waves. Several studies have been …