Alberto works on improving our understanding of the relevant processes and dynamical forecasting capabilities at seasonal timescales.
Areas of expertise:
climate prediction at intraseasonal to interannual timescales;
ensemble prediction systems;
representation of initial conditions and model uncertainties.
Alberto leads the Met Office group responsible for the research, development and implementation of the new generation of seasonal forecasting systems, including: ocean data assimilation, the use of coupled atmosphere-ocean models, the representation of uncertainties in the ensemble prediction system and the post-processing of forecast output.
A crucial aspect of the new seasonal forecasting system is that it is fully integrated within the Met Office model development strategy in order to allow further develop our seamless forecasting capabilities.
Funded by DFID, the seasonal forecasting group has recently started research aimed at increasing the usefulness of seasonal forecast products to users in Africa.
Alberto has worked at the Met Office since 2002, first as part of the research team developing the operational ensemble prediction systems for short- and medium-range and then as manager of the seasonal forecasting group.
Before that he was a visiting scientist at the Experimental Climate Prediction Center at the Scripps Institution of Oceanography (University of California San Diego) and completed a PhD in physics at the Universidad Complutense (Madrid, Spain) on the impact of land degradation and greenhouse-gas increase on the climate of the Iberian Peninsula.
Alberto is a member of the committee on Assessment of Intraseasonal to Interannual Climate Prediction and Predictability of the USA National Academy of Sciences.
Alberto is a lecturer for the World Meteorological Organisation.