Villani Veronica

via Thomas Alva Edison s.n.c. - 81100 Caserta (CE), Italy

Master degree in Mathematics with dissertation in Numerical Analysis. Since 2014 she has been working for Fondazione CMCC-REMHI division. Developer of tools for the post processing analysis of simulated and observed climate data, for the application of bias correction techniques to regional climate models (RCM) and for the elaboration of the climate scenarios over worldwide geographical domains having local, national and continental extension. Involved in many national and international projects and consultancy, providing climate analysis also for impact assessment from the local up to the continental scale. In particular, she dealt with: implementation and development of a set of climate indicators to support the agriculture sector; contribution on the hazard assessment through the development of various climatic indicators using EURO-CORDEX data anche CMCC climate simulations; Contribution to the elaboration of the Regional Strategy for the Adaptation to Climate Change (SRACC) of the Sardinia region; development of local climate profiles; contribution to the elaboration of the first WHO UNFCCC Climate and health country profile for Italy, providing analyzes relating to urban areas, with particular reference to how the phenomena of heat waves will change, as part of the project Health Effects of Climate Change in Vision Planetary Health; application of bias correction techniques in different geopgraphical context.


  • Selecting and correcting RCM models ensemble: a case study for the evaluation of thermal discomfort for the city of Prato
  • Past and future hydrogeological risk assessment under climate change conditions over urban settlements and infrastructure systems: the case of a sub‑regional area of Piedmont, Italy
  • RP0263 - Evaluation of downscaling and bias correction techniques to link climate and geo-hydrological impacts models
  • RP0262 - Climate data processing with GIS support: description of Bias Correction and Temporal Downscaling tools implemented in Clime software
  • RP0257 - Clime: climate data processing in GIS environment
  • RP0257 - Clime: climate data processing in GIS environment
  • RP0256 - Stochastic models for the disaggregation of precipitation time series on sub-daily scale: identification of parameters by global optimization
  • Statistical approaches versus weather generator to downscale RCM outputs to slope scale for stability assessment: a comparison of performances

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