We study a model for the relationship between space plasma and geomagnetic activity, by using an MHD shell model, where its forcing has been replaced by solar wind fluctuations data. We study the fractality of the forcing, its output and the activity of the model, which may represent the existence of geomagnetic storms. We find correlations between some of these metrics and the solar cycle, suggesting that the complexity of the solar wind may have influence on the level of geomagnetic activity.

We used a oxygen model and an hydrodynamic model of the Iberian upwelling to study the interplay between upwelling wind duration and phytoplankton growth and its impact on oxygen levels. When wind duration increases, marine currents remove oxygen from the coast, that is replenished by a fast phytoplankton growth. When phytoplankton growth is slow, the oxygen removal dominates and the coastal region looses oxygen. This can increase the future risk of upwelling regions becoming oxygen poor.

We need seasonal predictions of temperature and precipitation to prepare hydrological outlooks. Since the skill is limited, statistical correction and combination of outputs from multiple models are necessary. We use the forecasts of past situations from the EUROSIP multi-model system for 6 case studies in Western Europe and the Mediterranean Region. We identify skill for spring temperature in most areas and winter precipitation in Sweden and Greece. Sample size for training appears crucial.