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Davide Faranda

tel.jpg Bat 714 - Piece 1007 Orme des Merisiers

 Publications     Curriculum Vitae      

 Blog     Googlescholar   Image result for twitterTwitter    Image result for instagram icon Instagram   

 Dynamical Systems Analysis of North Atlantic Circulation  [Matlab  R  Python]


- Press Realese of the American Institue of Physics on our paper: "Modeling COVID19 data must be done with extreme care" [article available here]

- Interview sur la possible deuxième vague de l'épidémie de Covid 19 pour [le modèle présenté dans l'interview est disponible ici]

Je me presente dans "Moi au CEA"

D Faranda is the winner of the EGU Best Blog Posts of 2019 Competition

Peut-on faire confiance à l'IA pour prévoir la météo et faire des projections climatiques? j'en parle avec Valerie Gautard, sur la revue du CEA

Climarisk Project: Smartphone Android/IOS Game on climate extremes


I am a CNRS (permanent) Researcher in Complex Systems at the LSCE laboratory of the  University of Paris-Saclay, in the ESTIMR group. Since September 2017, I am also external fellow of the London Mathematical Laboratory, London, United Kingdom and of the Laboratoire de Meteorologie Dynamique de l'Ecole Normale Superieure in Paris.


Available here

Extreme Value Theory and Climate Extremes

Classical Extreme value laws have been recently found for orbits of dynamical systems. The theory has been devised for a special class of observables which allow for a link between the concept of extremes and the lack of Poincaré recurrences around a chosen point of the phase space. My contributions in this fields of research are directed towards the understanding of the relation between the recurrences and the extreme events, the nite time behavior of asymptotic laws and the generalizations of theoretical aspects to climate extremes. I am particularly interested in cold and snowy spells, heatwaves and extreme convective events.

Critical Phenomena in Complex Systems: Climate, Finance and Epidemiology

The understanding of the mechanism regulating the transitions between different attracting states in complex systems is a general problem in statistical mechanics. Systems which feature critical phenomena range from spin glasses up to finance, the climate systems and epidemiology. I have been involved in developing rigorous statistical methods for detecting the transition thresholds in datasets and in the modeling of systems at bifurcation points via the so called ARMA (Auto Regressive Moving Average) processes technique.

Turbulent and Geophysical flows

Providing a statistical description of turbulence, by combining theoretical findings with high quality experimental datasets, is helping in understanding several features of turbulent flows as the dissipation anomaly or the existence of singularities in the Navier Stokes equations. I am actually contributing to this research field by developing statistical techniques based on the Extreme Value Theory and the ARMA process analysis which allows for quantify the distance between observations and theoretical models in a rich model-parameter space.





PhD, Earth Sciences and Applied Mathematics
Hamburg University, Hamburg, Germany Mention: 1.0/1.0 magna cum laude January 2013
Thesis: Extreme Value Theory for geophysical flows. [.pdf]  Supervisor: Prof. Valerio Lucarini.

Master of Science, Physics
Bologna University, Bologna, Italy Mention: 110/110 cum laude July 2010
Thesis: Dynamical indicators of Stability in Non-Linear maps of low dimensionality. [.pdf] Supervisor: Prof. Giorgio Turchetti.

Bachelor Degree, Atmospheric Physics and Meteorology
Bologna University, Bologna, Italy Mention: 110/110 cum laude July 2008
Thesis: Characterization of stable and radioactive atmospheric tracers at the GAW M.te Cimone Station [.pdf] Supervisor: Prof. Laura Tositti.


London Mathetmatical Laboratory  - September 2017 - Now

External Fellow 

CNRS  - October 2015 - Now 

Researcher (Chargé de Recherce)  in Section 19 (Climate) and 52 (Interdisciplinary Science) 

LSCE - CEA October 2014 - September 2015

Research Fellow (CDD) in thermodynamics and dynamics of geophysical flows. Grant director: Dr. Pascal Yiou

CNRS URA 2464 / SPEC - CEA April 2013 - September 2014

Post-doctoral research in Theoretical and Experimental Turbulence grant director: Dr. Berengere Dubrulle. -Reasearch activities:

University of Hamburg - Klimacampus, Hamburg , Germany January 2013 - March 2013

Post-doctoral Research In Fluid Dynamics and Dynamical Systems Advisor: Prof. Valerio Lucarini.

Bologna University, Bologna, Italy November 2009 - July 2010

Tutoring for students in Atmospheric Physics and Meteorology


-2019 Winner of the EGU Best Blog Posts of 2019 Competition

-2018 European Geoscience Union Nonlinear Processes Division Outstanding Early Career Scientists Award.

-2014 Distinguished citizen of the year of the town S.Agata Militello (Italy). Prize assigned under the patronage of the Ministry of Home affairs.

-2014 Winner of the Outstanding Student Poster (OSP) Awards at the European Geophysical Union general assembly - section Nonlinear Processes in Geosciences. Vienna, April 2014

-2013 Selected for participating in the 1st Heidelberg Laureate Forum: a one-week event combining scientific, social and outreach activities featuring the winners of the  awards in Mathematics and Computer Science, the Abel Prize, the Fields Medal (including the Nevanlinna Prize), and the ACM Turing Award, September .

-2012 Winner of a sponsorship within the HPC-Europa2: Pan-European Research Infrastructure for High Performance Computing which covered a two months visit to LadHyX (Ecole Polytechnique, Palaiseau, France) to collaborate with the Dr. P. Manneville and an amount of 50.000 CPU hours to perform simulations on fluid dynamic systems on CINES-GENCI facilities located in Montpellier, France.


-Elected member of the LSCE laboratory council.

-EGU Nonlinear Processes in Geophysics, Scientific Officer.

-Organiser of the bimestrial inter-laboratory seminars “Climate and Statistical Mechanics”, between the laboratories SPEC & LSCE at CEA Saclay, France.


Cooking, electronic music, building-bricks design.



Download the daily values of dimension and persistence from 1948 to present*
The figure  displays some analyses performed using the instantaneous dimension d - the higher d, the more  unpredictable is the atmospheric circulation - and the persistence θ - the lower θ the more stable is the atmospheric circulation - of the sea level pressure field (in hPa) extracted from the NCEP Database. Please cite [Faranda et al. 2017 Scientific Reports] for research use. a) Sea-level pressure fields over the North-Atlantic showing the domain of the analysis for the selected day.  b) Distribution of the best 2% analogues per decades and c) per months. d) Scatter plots of dimension d and inverse persistence θ for all the data (ligth gray), the data of the month considered (dark gray) and the day of the analysis (red star).   e) Weather regimes, computed as the days beyond the 0.15 quantiles of the d and θ distributions.

* Last available date depends on the NCEP and GFS updates. A MATLAB package with the codes to perform this analysis is availabe here. Thanks to M Carmen Alvarez Castro for providing the R code, and Yoann Robin for the Python Package.



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