via C. Berti Pichat 6/2 - 40127 Bologna, Italy
+39 051 0301600
Dr. Andrea Storto is an environmental engineer and has obtained his Ph.D. in 2009 at the University of Rome “La Sapienza” in close collaboration with the Norwegian Meteorological Institute (met.no), studying the optimal assimilation of satellite radiances for regional medium-range NWP models by using variational assimilation schemes.
He had got a research fellowship from EUMETSAT and further to met.no he has been also visitor at Meteo-France and JAMSTEC.
In 2009, he joined the Ocean Modeling and Data Applications Division of CMCC to develop a Global Ocean variational analysis system at eddy-permitting resolution for use in the context of ocean reanalyses, in particular within the EU-funded MyOcean project and its follow-up MyOcean2, and high-resolution operational oceanography.
His expertise mainly includes variational data assimilation, satellite altimetry, techniques for improving the representation of model errors in data assimilation and evaluation of ocean reanalyses.
LATEST PUBLICATIONS
- Using canonical correlation analysis to produce dynamically based and highly efficient statistical observation operators
- Strongly Coupled Data Assimilation Experiments with Linearized Ocean-Atmosphere Balance Relationships
- Constraining the Global Ocean Heat Content Through Assimilation of CERES‐Derived TOA Energy Imbalance Estimates
- Understanding large-scale, long-term larval connectivity patterns: The case of the Northern Line Islands in the Central Pacific Ocean
- RP0285 – CMCC-SPS3: The CMCC Seasonal Prediction System 3
- Benchmarking the mesoscale variability in global ocean eddy-permitting numerical systems
- Data assimilation of Argo profiles in a North-West Pacific model
- Historical ocean reanalyses (1900-2010) using different data assimilation techniques
- Objectively estimating the temporal evolution of accuracy and skill in a global ocean reanalysis
- Steric sea level variability (1993-2010) in an ensemble of ocean reanalyses and objective analyses