Zollo Alessandra Lucia

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

+39 0823 623162

Master degree in Telecommunications Engineering at the University of Sannio in 2011 with mark 110/110 with honours and special mention. Developer of MATISSE software (Meteorological AviaTIon Supporting SystEm), in GIS environment, to support the monitoring and forecasting of meteorological aviation hazards. Responsible for management, acquisition and standardization of meteorological data from meteorological instrumentations installed at CIRA. Developer of tools in Matlab for monitoring and nowcasting weather hazards using satellite data, also in collaboration with Italian Air Force. She has a scientific affiliation with CMCC and she is leader of the Research Unit “Statistical Downscaling and CLIME” of REMHI Division (Regional Models and Geo-Hydrological Impacts). Expert in the analysis of climate data, calculation of extreme weather indicators to assess the impact of climate change, implementation of bias correction techniques.


  • A risk assessment framework for irrigated agriculture under climate change
  • Evaluation of regional COSMO-CLM climate simulations over the Eastern Mediterranean for the period 1979–2011
  • Extreme weather events over China: assessment of COSMO CLM simulations and future scenarios
  • Simulations of quantitative shift in bio-climatic indices in the viticultural areas of Trentino (Italian Alps) by an open source R package
  • MATISSE: an ArcGIS tool for monitoring and nowcasting meteorological hazards
  • RP0262 - Climate data processing with GIS support: description of Bias Correction and Temporal Downscaling tools implemented in Clime software
  • Extreme temperature and precipitation events over Italy: assessment of high-resolution simulations with COSMO-CLM and future scenarios
  • High-resolution climate simulations with COSMO-CLM over Italy: performance evaluation and climate projections for the 21st century
  • Hydrological simulation of Po River (North Italy) discharge under climate change scenarios using the RCM COSMO-CLM
  • Statistical approaches versus weather generator to downscale RCM outputs to slope scale for stability assessment: a comparison of performances

Start typing and press Enter to search

Shopping Cart