CODE 94633 ACADEMIC YEAR 2023/2024 CREDITS 5 cfu anno 1 ENGINEERING FOR NATURAL RISK MANAGEMENT 10553 (LM-26) - SAVONA SCIENTIFIC DISCIPLINARY SECTOR ICAR/02 LANGUAGE English TEACHING LOCATION SAVONA SEMESTER 2° Semester MODULES Questo insegnamento è un modulo di: WEATHER RELATED HAZARDS TEACHING MATERIALS AULAWEB AIMS AND CONTENT LEARNING OUTCOMES The aim of the course is to introduce the fundamentals of atmospheric circulation that govern weather and climate from synoptic scale to mesa-alfa scale. Attention will be paid to the extremes, climate change impacts on the environmental risks, impacts on the intensity and frequency of extreme meteorological and hydrological events (floods, droughts, hurricanes, wind storms, heat waves, etc). A review on formulation and parameterizations used in numerical weather prediction models will be presented. The concept of uncertainty in numerical modelling of the extreme events will be presented with idealized and real cases applications. Students will learn to treat numerical and observational atmospherical data using MATLAB. AIMS AND LEARNING OUTCOMES The course addresses the problem atmospheric dynamics and numerical weather prediction, as key ingredients for weather forecasting applications. During the course the student will understand the key hypothesis of air as continuum fluid, the fundamental and apparent forces. The student will learn that weather conditions can frequently change, and that in order to understand atmospheric dynamics it is necessary to consider different spatio-temporal evolution of humidity, temperature, air pressure, wind speed, and direction, as well as cloud cover. Factors such as geographic location, proximity to water sources, urban structures, and latitude and elevation are also considered in the course formulation. Furthermore the student will learn the derivation and interpretation the equations of continuity, momentum and energy. Scale analysis of aforementioned equations will be performed in order to understand key driving processes at synoptic, mesoscale and microscale. Finally numerical weather prediction will be introduced: the student will understand that the process of weather forecasting becomes complex due to the intrinsic nonlinearity of weather forecast models, as well as that also the proper integration and analysis of a huge amount of data make the process even more complex. TEACHING METHODS front lessons SYLLABUS/CONTENT Introduction to atmospheric dynamics Basic Conservation Laws Planetary scale motions Synoptic-Scale Motions Cumulus Convection and Convective Storms Numerical Modeling and Prediction RECOMMENDED READING/BIBLIOGRAPHY https://www.wetterzentrale.de/ https://en.sat24.com/en https://www.mydewetra.org/ An Introduction to Dynamic Meteorology (ISSN Book 88) 5th Edition, Kindle Edition by James R. Holton Additional materials will be provided to the students during the lessons, including slides, scientific papers, reports, etc. TEACHERS AND EXAM BOARD MASSIMILIANO LORENZO MARIA BURLANDO Ricevimento: By appointment. Send email to massimiliano.burlando@unige.it Exam Board GIORGIO BONI (President) FEDERICO CANEPA MARTINA LAGASIO MASSIMILIANO LORENZO MARIA BURLANDO (President Substitute) ANTONIO PARODI (President Substitute) LESSONS LESSONS START https://corsi.unige.it/en/corsi/10553/students-timetable Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION The exam consists in an oral session where it is strongly suggested to present a free topic out the overall course program. Additional theoretical questions concerning the whole set of topics presented during the course will complete the evaluation of the students. Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities. ASSESSMENT METHODS Free topic selected by the candidate Additional questions over the overall topics course