Summary
Valerio Capecchi is a researcher and operational weather forecaster with over a decade of experience in numerical weather prediction and biometeorology, specializing in WRF, Meso-NH, Moloch and Bolam model systems. He combines a strong mathematical background (MS in Mathematics, Univ. of Florence) with practical skills in Fortran, Bash, R and data visualization tools to develop and run operational forecasting services for civil protection and research institutions. His career spans roles at Consorzio LaMMA and CNR-IBIMET where he moved from NDVI and remote sensing analysis into advanced NWP modeling and bio-meteorological forecasting. Known for bridging research and operations, he also has experience applying machine learning (K-NN) to land cover estimation and satellite vegetation indices, reflecting a pragmatic approach to combining physics-based models with data-driven methods. Based in Tuscany, he brings a disciplined scientific mindset to operational challenges and model development.
11 years of coding experience
4 years of employment as a software developer
MS degree, Mathematics, MS degree, Mathematics at Università degli Studi di Firenze