SPARCS

Stochastic Parametrizations in Complex Systems

 Coordinatore UNIVERSITAET HAMBURG 

 Organization address address: EDMUND-SIEMERS-ALLEE 1
city: HAMBURG
postcode: 20146

contact info
Titolo: Ms.
Nome: Simone
Cognome: Ludwig
Email: send email
Telefono: +49 40 42838 6565

 Nazionalità Coordinatore Germany [DE]
 Totale costo 274˙336 €
 EC contributo 274˙336 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2013-IOF
 Funding Scheme MC-IOF
 Anno di inizio 2015
 Periodo (anno-mese-giorno) 2015-02-25   -   2018-02-24

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    UNIVERSITAET HAMBURG

 Organization address address: EDMUND-SIEMERS-ALLEE 1
city: HAMBURG
postcode: 20146

contact info
Titolo: Ms.
Nome: Simone
Cognome: Ludwig
Email: send email
Telefono: +49 40 42838 6565

DE (HAMBURG) coordinator 274˙336.80

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separation    rare    theory    extreme    flow    events    models    determine    delayed    dynamical   

 Obiettivo del progetto (Objective)

'Our society increasingly relies on numerical atmospheric models to predict extreme events such as intense storms or rare flow regime changes such as those leading to heat waves. Yet, how well these events can be reproduced with those models is currently unknown. In this project, we will make use of advances in the mathematics of stochastic differential equations to determine how the presence of delayed feedback influences the rates of rare transitions between flow regimesand the separation of nearby trajectories in geophysical fluid flows. Delayed feedbacks are an essential element of systems without a time scale separation, such as the atmosphere. This study is possible due to recent extensions of large deviation theory to systems with delay. We will also determine how approximations of dynamical systems influence the distributions of extreme events. Here we will use the theory of extreme values in dynamical systems that has been developed in the last few years and finite Markov approximation of the transfer operator. Together these results will greatly advance the understanding of how complex systems such as the Earth system can be simulated.'

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SUPERPANELS (2010)

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