B5606 - LABORATORY OF CLIMATE CHANGE ADAPTATION

Anno Accademico 2026/2027

  • Moduli: Alberto Montanari (Modulo 1) Rui Guo (Modulo 2)
  • Modalità didattica: Lezioni in presenza (totalmente o parzialmente) Lezioni in presenza (totalmente o parzialmente) (Modulo 1); Lezioni in presenza (totalmente o parzialmente) (Modulo 2)
  • Campus: Bologna
  • Corso: Laurea Magistrale in Civil Engineering (cod. 6708)

    Valido anche per Campus di Ravenna
    Laurea Magistrale in Offshore Engineering for Energy Transition (cod. 6707)

Conoscenze e abilità da conseguire

e locale e su scala temporale fine, stimare i cambiamenti climatici e la loro variabilità spaziale. Verranno prese in considerazione diverse variabili climatiche, concentrandosi sulle loro caratteristiche fisiche e statistiche e sull'affidabilità delle rispettive simulazioni.

Contenuti

The course will focus on applied methods for generating future climate scenarios, to support load estimation for structures and infrastructure in the presence of climate change.

The teacher will make extensive use of interaction with students. For example, students will be given the optional opportunity of delivering presentations to the class and the public, developing software, preparing open source contributions. Students may propose additional ideas for interaction.

Lectures will be recorded and made freely available on the web. Tutorial documents will be provided in the form of open web pages under CC license, and therefore may be freely re-used by students. Tutorial are already available on the web site of the teacher.

Lectures include: (1) retrieval of open source climate scenarios. (2) Practical generation of future climate scenarios through climate models and stochastic models. (3) Technical estimation of extremes under climate change. (4) Technical evaluation of additional forcings induced by climate change.

Part of the course will be delivered online to propose to the students an innovative and web based approach to education.

Programming languages are R and Python.

Examples of tutorials are given at https://albertomontanari.it/node/251

Testi/Bibliografia

The teacher will prepare dynamic documents to support the learning process, which will be made available in the form of an open e-book, which may be open to interactive contribution by students.

Metodi didattici

The course is taught through lectures. These lectures will be developed at the computer, using the R and Python programming languages.

Modalità di verifica e valutazione dell'apprendimento

The preparation of the student will be assessed through the discussion of a project exercise. A brief oral interview may follow.

The exam is passed if the student proves to be prepared on the exercises that were taught during the lectures. The teacher will explicitly mention to students during the lectures what are the basic requirements to pass the exam. The speaking capability will also be evaluated. The laude is reserved to students who are excellently prepared and prove to have integrated their preparation with personal in-depth analysis.

Students with learning disorders and\or temporary or permanent disabilities: please, contact the office responsible ( https://site.unibo.it/studenti-con-disabilita-e-dsa/en/for-students ) as soon as possible so that they can propose acceptable adjustments. The request for adaptation must be submitted in advance (15 days before the exam date) to the lecturer, who will assess the appropriateness of the adjustments, taking into account the teaching objectives.

Strumenti a supporto della didattica

The teacher will made available notes on his personal web-site. Scientific papers will be distributed during the lectures as well as summaries of recent research outcomes.

Lectures will be delivered with the physical presence of the teacher and will also be made available via online streaming.

Moreover, the teacher makes available videos of the lectures. See last year's lectures at https://www.youtube.com/playlist?list=PLzpKSIoIBFCNZmwyQOzxQUnwluE4DoAHF

Link ad altre eventuali informazioni

https://www.albertomontanari.it

Orario di ricevimento

Consulta il sito web di Alberto Montanari

Consulta il sito web di Rui Guo