Topics and goals


In the last decade, the theory of complex
networks has emerged as a widely applicable and
useful framework to understand better the
interrelations of the climate system, thereby
creating the field of “climate networks”. This
international workshop aims to bring together
researchers working at the forefront of climate
networks, and complex networks analysis in
general, to generate cross-talk between them and
to create and develop new ideas and approaches
that can tackle the pressing issues relevant to
understanding the climate. Themes such as the
extraction and interpretation of climate modes
from data, reconstruction of climate networks, statistical representation of complex networks,
and the stability of networks given their structure
and dynamics are interwoven by the various
presentations in the first two days of this event.
The workshop will thus showcase current ideas
on both theoretical and empirical aspects of
climate networks so that the common grounds
between the two can be explored productively.
Organised in cooperation with the “LINC” project,
this workshop also provides an opportunity to
young researchers to present their work to an
international audience. Most of the presentations
at the event are based on work done primarily by
doctoral or early-career post-doctoral researchers.
The third day of the workshop which is reserved
exclusively for (unmoderated) discussions
between participants will further allow the
gathered scientists to ideate, exchange, and foster
future collaborations in the field of climate
networks analysis.

LINC: Learning about Interacting
Networks in Climate

This international workshop is organised in
cooperation with the LINC project (“Learning
about Interacting Networks in Climate“) - a Marie
Curie Initial Training Network (ITN) funded by the
EU 7th Framework Program. This project aims at
training 15 young researchers – a new generation
of experts who would be able to investigate the
Earth climate from a complex systems

The main challenge of the LINC project is to
understand a wide range of complex climatic
phenomena with a huge world-wide socioeconomic
impacts such as El-Nino-Southern
Oscillation (ENSO), Indian and South American
Monsoon systems and Atlantic Meridional
Overturning Circulation (AMOC) with the help of
the framework of complex networks. The results
of the LINC project in the form of numerous
articles and software packages for the analysis of
climate system has proven that application of the
complex networks and nonlinear analysis tools to
study climate phenomena can yield new insight
in the understanding of the mechanisms of the
climate variability and predictability of such
climate phenomena as ENSO, Indian Monsoon
and AMOC.

Bringing together the experts of climate
variability and nonlinear dynamics under the
aegis of LINC in the DyNeMo-Clim Workshop
would enhance the exchange of the expertise,
sharing ideas and establishment of future
collaborations possibly leading to improved
predictability of climate phenomena, crucial for
developing adequate mitigation and adaptation