The "LINC First School" the first of a series of Schools devoted to the training of PhD students into concepts and techniques suitable for the study of climate and climatic processes, from the point of view of complex systems. This first school will be devoted to the essentials of climate dynamics and network theory, and horizontal computational competences will be promoted with a course on scientific software engineering.

The School is a part of the Initial Training Network LINC (Learning about Interacting Networks in Climate), a Marie Curie action funded by the European Commission through its 7th Framework programme, but it is open to students outside the network.

This Fisrt School will organized by IFISC (Institute for Cross-Disciplinary Physics and Complex Systems) and it will be held in the Campus of the University of the Balearic Islands, Mallorca, Spain, from 10th to 12th September 2012. It will be followed (September 13th) by a workshop restricted to the Network members.

Group picture taken on Monday, September 10:

Group photo More pictures




1.- Basics of Climate Science
by Prof. Eli Tziperman, Department of Earth and Planetary Sciences and School of Engineering and Applied Sciences, Harvard University, USA.

Energy balance and climate bifurcations, snowball Earth. Ocean overturning/ thermohaline circulation (THC). Stommel (1961) two box model,  multiple equilibria. Little ice age and THC variability, non normal excitation of THC variability. THC during snowball Earth event

Rossby waves. Atmospheric superrotation and corresponding hysteresis and multiple equilibria. Permanent El Niño in the Pliocene (2-5 Million years ago) and (in the future?)

Convection, clouds and radiation. Arctic cloud feedback, multiple equilibria, warm climate of the Eocene (50 Million years ago) and relevance to global warming.


2.- Theory and Practice of Complex Networks
by Prof. Albert Díaz-Guilera, Departament de Física Fonamental, University of Barcelona, Spain. 

Networks everywhere. Networks in differnet disciplines. Data mining. Universality.

Characterization: Local scale (degree, clustering, ...). Large scale (distributions, distances, ....). Medium scale (motifs, communities, ...).

Modelization.  Erdos-Renyi. Watts-Strogatz. Barabasi-Albert.

Dynamics on and of networks. Dynamical processes on networks (spreading, synchronization, ....). Time dependent networks (new characterizations).


3.- Masterclass on Scientific Software Engineering
by Alja Vrieling and Johan Dijkzeul, VORtech, Delft, The Netherlands

Clarity: how to keep codes clear and well-structured. Numerical aspects: how to deal with testing, especially considering
roundoff errors. Automate: is automation required for work that is carried out often? Software process: how to structure a good software developing process.