Project Description
Andrea Pisano, National Research Council (CNR) – Institute of Marine Sciences (ISMAR), Rome, Italy
Dr. Andrea Pisano is a researcher at the National Research Council (CNR) – Institute of Marine Sciences (ISMAR) in Rome, where he has held a permanent position since 2018. He earned his degree in Physics in 2003, followed by a Master’s in High-Performance Computing in 2005, and completed a Ph.D. in Earth and Environmental Sciences in 2011.
Dr. Pisano’s work centers on satellite oceanography, focusing on the monitoring and study of the marine environment using satellite data, often supplemented with in situ and model data for a more comprehensive approach. His research covers key areas such as the reconstruction of sea surface temperature (SST) fields from multi-sensor and multi-platform data for the Mediterranean and Black Seas, their operational production, and the analysis of climate variability and extreme marine events like heatwaves.
Since 2022, he has led the SST Thematic Assembly Centre (TAC) within the Copernicus Marine Service, overseeing the operational production of global and regional SST data. His research aims at continuously improving SST algorithms to ensure high data accuracy and quality, meeting the evolving needs of users, and advancing techniques for coastal and small-scale feature resolution, more recently integrating artificial intelligence. He also focuses on leveraging new satellite missions such as TRISHNA and LSTM to develop ultra-high-resolution coastal SST products and preparing for the benefits of microwave-based SST measurements from missions like CIMR.
Dr. Pisano actively collaborates with ESA and EUMETSAT, aligning efforts in L1/L2 processing to optimize data quality and meet both expert and non-expert user needs for L4 production. He also contributes to the Copernicus Ocean State Report, the reference report of EU, and develops SST Ocean Monitoring Indicators (OMIs) to track the effects of climate change and variability. His work also includes defining quality metrics for SST data records, often through intercomparison studies to ensure data reliability and consistency.