Anno di corso: 1

Anno di corso: 2

Crediti: 6
Crediti: 12
Tipo: A scelta dello studente
Crediti: 6
Tipo: A scelta dello studente
Crediti: 12
Tipo: A scelta dello studente
Crediti: 28
Tipo: Lingua/Prova Finale
Crediti: 4
Tipo: Altro

WAVES AND TURBULENCE

Scheda dell'insegnamento

Anno accademico di regolamento: 
2018/2019
Anno di corso: 
2
Anno accademico di erogazione: 
2019/2020
Tipo di attività: 
Obbligatorio a scelta
Lingua: 
Inglese
Crediti: 
6
Ciclo: 
Primo Semestre
Ore di attivita' didattica: 
42
Prerequisiti: 

Prerequisites
Physics of the Sea

Moduli

Metodi di valutazione

Modalita' di verifica dell'apprendimento: 

Assessment method
- Oral examination: discussion of topics covered during class and presentation of a data analysis project

Valutazione: 
Voto Finale

Obiettivi formativi

Aims
Provide information on available oceanographic databases and how their data are gathered and stored. Show how data can be visualised and analysed to answer to specific questions, using statistical methods and models, with Matlab software.

Contenuti

Contents
Ocean observing systems, including remote sensing, Eulerian stations, drifters and ship measurements. Ocean databases. Spatio-temporal data analysis. Modeling tools. Visualisation tools.

Programma esteso

Detailed program
Data retrieved from satellites: sea surface temperature, sea surface salinity, sea surface height, surface wind speed, significant wave height, ocean color.

ARGO floats: subsurface measurements.

Moorings and buoys.

High Frequency coastal radar network.

Sea level station monitoring facility.

Reanalysis.

Gridded data: resolution and interpolation effects.

Seasonal variations, removal of seasonal cycle, data detrending and filtering.

Correlation and covariance.

Geostrophic currents from hydrographic measurements and from sea surface height.

Tropical cyclone tracks and cold wakes.

Coral bleaching heat stress monitoring: Degree Heating Weeks and coral hotspots.

Bibliografia consigliata

Textbook and teaching resource
Mathworks tutorials: MATLAB Fundamentals, MATLAB Programming Techniques, MATLAB for Data processing and visualisation (available online).

Slides from the instructors.

Metodi didattici

Teaching form
Frontal lecture in a computer lab