Physics Laboratory of Climatology and Atmospheric Physics
A.Y. 2023/2024
Learning objectives
The course aims at introducing students, by means of a monographic experience, to the most common issues that it is necessary considering for the analysis of long series of meteorological data.
Expected learning outcomes
At the end of the course, students must be able to perform an analysis of long series of meteorological data. Specifically they must be able to face the following issues:
· Data organization;
· Quality checks;
· Homogeneity checks and data homogenization;
· Time series analysis, with particular focus on spatial and temporal trends;
· Analysis of the physical mechanism that may have determined the observed trends.
· Data organization;
· Quality checks;
· Homogeneity checks and data homogenization;
· Time series analysis, with particular focus on spatial and temporal trends;
· Analysis of the physical mechanism that may have determined the observed trends.
Lesson period: First semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
First semester
Not scheduled
Course syllabus
The course schedules one monographic practical experiences in the area of Meteorology/Climatology.
The subject choice will be varied year-by-year, according to students' preparation and interests.
The subject proposed for the academic year 2023/24 will be Climate Scenario.
The subject choice will be varied year-by-year, according to students' preparation and interests.
The subject proposed for the academic year 2023/24 will be Climate Scenario.
Prerequisites for admission
Basic knowledge on the structure and properties of the atmosphere;
Basic statistics for data analysis;
Previous experience in programming (any programming language).
Basic statistics for data analysis;
Previous experience in programming (any programming language).
Teaching methods
Teaching method consists in starting the course with a few lectures on theoretical topics to provide students with the bases for understanding and developing the projects and to introduce the methods for data analysis.
Students will the work to find the best way to face the proposed analysis.
The activities will be performed in small groups (2-3 students). The frequency to the course is obligatory.
Students will the work to find the best way to face the proposed analysis.
The activities will be performed in small groups (2-3 students). The frequency to the course is obligatory.
Teaching Resources
Scientific papers and/or manuals available on the website of the course in the Ariel platform at www.unimi.it
Assessment methods and Criteria
The exam will conist in a talk focused on the obtained results. Within this talk the students will highligth the problems they faced and the methods they adopted.
FIS/06 - PHYSICS OF THE EARTH AND OF THE CIRCUMTERRESTRIAL MEDIUM
FIS/07 - APPLIED PHYSICS
FIS/07 - APPLIED PHYSICS
Laboratories: 48 hours
Lessons: 14 hours
Lessons: 14 hours
Professor:
Maugeri Maurizio
Educational website(s)
Professor(s)