Characterizing and Forecasting Trends in Biological Oceanography

Semester 1

Semester 2

Semester 3

Semester 4

ECTS
6

FUTURE SEAS

Numerical methods for marine science
University of Pierre and Marie Curie - Paris 6

Synopsis

This course is devoted to prediction, which has two components; simulating scenarios (prediction sensu stricto) and forecasting (calculating future trends from past observations). For this, the course will review both numerical simulation methods and statistical time and space series analysis methods.

Content

Numerical Simulation
Data assimilation
Time Series Analysis
Time Series Forecasting
Spatial Statistics

Pre-requisites

Basic Statistics and Basic Modelling

Aims

Understanding the concepts and the methods to predict trends in biological oceanography.

Objectives

Learning numerical and statistical methods allowing to predict future trends in biological oceanography. Understanding methods of data assimilation and optimal control used in biological oceanography and resources management.

Key skills acquired

Numerical and Statistical Methods
Programming (R and Scilab)

Bibliography

None

Assessment

30% Written Exam
70% Personal Project Reporting

Involved teachers

Jean-Marc Guarini

Contact hours

lectures
25

practicals
35

seminars
0

computerclass
35

fieldwork
0

other
0