1 - 5 September 2025
Bologna, Italy
Theory, retrieval methods, sensor technology and future missions
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Program
The school will be focussed on the radiation theory and principles of satellite remote sensing, microphysics of clouds and precipitation as well as the fundamentals of retrieval methods, satellite imagery interpretation and products for science and operational meteorology. A special focus will be swept to the sensor technology and satellite development, launch and in-orbit management
Scientific Committee
Sante Laviola (CNR-ISAC)
Elsa Cattani (CNR-ISAC)
Giorgio Budillon (University of Naples Parthenope)
Vincenzo Capozzi (University of Naples Parthenope)
Radiative Transfer in atmosphere and remote sensing principles.
Satellite remote sensing of cloud and precipitation: current missions, sensors, spectral ranges
Microphysics of clouds and precipitation
Satellite data in support to the warning/alert systems for severe weather
Thunderstorms, Terrestrial Gamma-ray Flashes (TGF), gamma-ray glows, and related high-energy atmos. phenomena
Satellite Image interpretation and retrieval methods for science and operational meteorology
Future satellite missions, sensor technology and satellite development, launch, in-orbit management
The ISSM 2025 aims to train Ph.D. students in physical, environmental, atmospheric, or related sciences. Early career operational meteorologists and primary researchers are invited to apply as well.
Applications will also be accepted from talented students working toward their MSc. in the same fields as above. Young Electronics, Aerospace and Astronautical Engineers who want to enrich their CVs are welcome
The registration fee is 600€ and includes teaching material, icebreaker, coffee breaks, lunches, traditional cuisine social dinner paired.
Grants are available! The Scientific Committee will consider the fee waiver requests based on the financial resources of the School and the merit of the candidate curriculum. Further details on the website of the School
Project funded by the PRIN 2022 PNRR P2022X5MBJ
CUP: D53D23022940001