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CV Davide Faranda


RESEARCH INTERESTS

I started working in the theory of dynamical systems and its geophysical applications during my master thesis in Bologna in 2010. The development of dynamic indicators at the numerical and theoretical level has become my PhD thesis subject and the core of my research. My PhD project took place in three different countries (Reading - England, Hamburg - Germany, École Polytechnique - France), in contact with communities of climatologists (V. Lucarini, my thesis director), physicists (P. Manneville) and mathematicians (S. Vaiti, T. Kuna). These interactions have given a very interdisciplinary character to my PhD work. I completed my manuscript entitled: "Extreme value theory for geophysical Flows" after two and a half years of thesis.

My experience in France began in 2013 as part of a postdoctoral fellowship at CNRS under the supervision of B. Dubrulle and F. Daviaud at SPEC - CEA Saclay. My work focused on understanding the phenomena associated with intermittency in turbulent laboratory flows through the von Karman experiment. Thanks to those theoretical and numerical developments, I have extended the tools to interdisciplinary applications in financial data for the definition of precursors of crises. In 2014, I started a second post-doctoral contract as part of an ERC climate project led by P Yiou at LSCE. During this project, I have developed methods to study the recurrences of atmospheric weather regimes, particularly during extreme events (heat waves, cold waves, extratropical storms).

The interdisciplinary training that I acquired during these first phases of my career allowed me to build a solid project for the CNRS, which I joined in 2015. Since my hiring, my activity has been part of the LSCE ESTIMR team. My research activity mainly focuses on the definition of digital tools to study extreme weather events, using statistical physics methods. The universality of these methods allows me to continue the collaboration with the SPEC and the study of turbulent flows, and to apply them to different fields such as Epidemiology and Earthquake dynamics.

My international collaborations are part of this interdisciplinary research work: S. Vaienti (dynamical systems, CPT - Marseille), Y. Sato (dynamical systems and stochastic processes, Hokkaido University, Japan), N. Vercauteren (atmospheric turbulence, FU Berlin , Germany), G. Messori (climate dynamics, Stockholm, Sweden). Within CEA Saclay, I am involved in the organization of a Climat-Meca-Stat working group which links the skills of LSCE and SPEC while being enriched by the presence of other laboratories. My activity was recently recognized with the EGU Division Outstanding Early Career Scientists Award from the European Union of Geophysics.  Since 2017 I am research fellow of the London Mathematical Laboratory (London UK) and since 2019 external fellow of the LMD-ENS Paris.

I have supervised 3 Postdoctoral researchers, 10 master students and 2 PhD students. I have published about 70 articles, with an H-index of 19 and more than 1000 citations in 7 years (source google Scholar). I am currently PI of an ANR-TERC research project BOREAS (120 KEUR period: 2020-2022), and participant in several national and international projects. I am PI of the outreach project ClimarisQ, an Android/IOS game to understand the complexity of the climate systems

EDUCATION

  • 2010-2013       PhD in Earth Science cum laude, Hamburg University: “Extreme Value Theory for Geophysical Flows”, Thesis Director: Valerio Lucarini
  • 2008-2010        Master in Physics cum laude, University of Bologna (Italy)
  • 2005-2008        Degree in "Atmospheric physics and meteorology" cum laude, University of Bologna (Italy)

 

RESEARCH ACTIVITY 

  • 2015-Now          CNRS researcher at LSCE - Gif-sur-Yvette

▪ Study of climate change signals in atmospheric circulations observed during heat and cold waves

▪ Crises (bifurcations) in natural systems and finance

▪ Search for quasi-singularities in Navier-Stokes equations using Von Karman experiments (with B. Dubrulle, F Daviaud, SPEC-CEA)

  • 2014-2015         CEA post-doctoral fellow at LSCE - Gif-sur-Yvette

▪ Study of rare recurrences in temperature data

  • 2013-2014         CNRS post-doctoral fellow at SPEC (UMR CEA - CNRS) –Saclay

▪ Study of intermittency in turbulent flows

  • 2013-2013         Post-doctoral fellow at Klimacampus (University of Hamburg)

▪ Poincaré recurrence theory in geophysical flows

  • 2009-2010         Student tutor (University of Bologna - Italy)

 

AWARDS

 

  • 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.

 

 


Journal articles70 documents

  • Davide Faranda, Tommaso Alberti. Modelling the second wave of COVID-19 infections in France and Italy via a Stochastic SEIR model. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, In press. ⟨hal-02668318v3⟩
  • Tommaso Alberti, Davide Faranda. On the uncertainty of real-time predictions of epidemic growths: A COVID-19 case study for China and Italy. Communications in Nonlinear Science and Numerical Simulation, Elsevier, 2020, 90, pp.105372. ⟨10.1016/j.cnsns.2020.105372⟩. ⟨hal-02894992⟩
  • Flavio Maria Emanuele Pons, Gabriele Messori, M Carmen Alvarez-Castro, Davide Faranda. Sampling hyperspheres via extreme value theory: implications for measuring attractor dimensions. Journal of Statistical Physics, Springer Verlag, 2020, ⟨10.1007/s10955-020-02573-5⟩. ⟨hal-01650250v3⟩
  • Davide Faranda, M. Vrac, P. Yiou, F. M. E. Pons, A Hamid, et al.. Boosting performance in machine learning of geophysical flows via scale separation. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2020, ⟨10.5194/npg-2020-39⟩. ⟨hal-02337839v2⟩
  • A. Gualandi, J.-P. Avouac, S. Michel, Davide Faranda. The predictable chaos of slow earthquakes. Science Advances , American Association for the Advancement of Science (AAAS), 2020, 6 (27), pp.eaaz5548. ⟨10.1126/sciadv.aaz5548⟩. ⟨hal-02887201⟩
  • Davide Faranda. An attempt to explain recent trends in European snowfall extremes. Weather and Climate Dynamics, Copernicus, 2020, 1, pp.445-458. ⟨10.5194/wcd-1-445-2020⟩. ⟨hal-02901400⟩
  • Pascal Yiou, Julien Cattiaux, Davide Faranda, Nikolay Kadygrov, Aglaé Jézéquel, et al.. Analyses of the Northern European Summer Heatwave of 2018. Bulletin of the American Meteorological Society, American Meteorological Society, 2020, 101 (1), pp.S35-S40. ⟨10.1175/BAMS-D-19-0170.1⟩. ⟨hal-02895056⟩
  • Davide Faranda, Isaac Pérez Castillo, Oliver Hulme, Aglaé Jézéquel, Jeroen Lamb, et al.. Asymptotic estimates of SARS-CoV-2 infection counts and their sensitivity to stochastic perturbation. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2020, 30 (5), pp.051107. ⟨10.1063/5.0008834⟩. ⟨hal-02668288⟩
  • Miriam D'errico, Pascal Yiou, Cesare Nardini, Frank Lunkeit, Davide Faranda. A dynamical and thermodynamic mechanism to explain heavy snowfalls in current and future climate over Italy during cold spells. Earth System Dynamics Discussions , European Geosciences Union/Copernicus Publ., 2020, ⟨10.5194/esd-2020-61⟩. ⟨hal-02367559v2⟩
  • Yoshito Hirata, Yuzuru Sato, Davide Faranda. Permutations uniquely identify states and unknown external forces in non-autonomous dynamical systems. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2020, 30, pp.103103. ⟨10.1063/5.0009450⟩. ⟨hal-02949037⟩
  • P. de Luca, G. Messori, F. M. E. Pons, Davide Faranda. Dynamical systems theory sheds new light on compound climate extremes in Europe and Eastern North America. Quarterly Journal of the Royal Meteorological Society, Wiley, 2020, 146 (729), pp.1636-1650. ⟨10.1002/qj.3757⟩. ⟨hal-02895084⟩
  • Paolo de Luca, Gabriele Messori, Davide Faranda, Philip Ward, Dim Coumou. Compound Hot-Dry and Cold-Wet Dynamical Extremes Over the Mediterranean. Earth System Dynamics, European Geosciences Union, 2020, 11 (3), pp.793-805. ⟨10.5194/esd-11-793-2020⟩. ⟨hal-02901402⟩
  • Amandine Kaiser, Davide Faranda, Sebastian Krumscheid, Danijel Belušić, Nikki Vercauteren. Detecting Regime Transitions of the Nocturnal and Polar Near-Surface Temperature Inversion. Journal of the Atmospheric Sciences, American Meteorological Society, 2020, 77 (8), pp.2921-2940. ⟨10.1175/JAS-D-19-0287.1⟩. ⟨hal-02909915⟩
  • Davide Faranda, Gabriele Messori, Pascal Yiou. Diagnosing concurrent drivers of weather extremes: application to hot and cold days in North America. Climate Dynamics, Springer Verlag, 2020, 54, pp.2187-2201. ⟨10.1007/s00382-019-05106-3⟩. ⟨hal-02095205v2⟩
  • Th Caby, D. Faranda, Sandro Vaienti, P. Yiou. On the Computation of the Extremal Index for Time Series. Journal of Statistical Physics, Springer Verlag, 2020, 179 (5), pp.1666-1697. ⟨10.1007/s10955-019-02423-z⟩. ⟨hal-02450472⟩
  • Davide Faranda, Mathieu Vrac, Pascal Yiou, Aglaé Jézéquel, Soulivanh Thao. Changes in future synoptic circulation patterns: consequences for extreme event attribution. Geophysical Research Letters, American Geophysical Union, 2020, 47, pp.e2020GL088002. ⟨10.1029/2020GL088002⟩. ⟨hal-02337890⟩
  • Davide Faranda, M Carmen Alvarez-Castro, Gabriele Messori, David Rodrigues, Pascal Yiou. The hammam effect or how a warm ocean enhances large scale atmospheric predictability. Nature Communications, Nature Publishing Group, 2019, 10, pp.1316. ⟨10.1038/s41467-019-09305-8⟩. ⟨hal-02334273⟩
  • Theophile Caby, Davide Faranda, Giorgio Mantica, Sandro Vaienti, Pascal Yiou. Generalized dimensions, large deviations and the distribution of rare events. Physica D: Nonlinear Phenomena, Elsevier, 2019, 400, pp.132143. ⟨10.1016/j.physd.2019.06.009⟩. ⟨hal-01941189⟩
  • Davide Faranda, Bérengère Podvin, Anne Sergent. On reversals in 2D turbulent Rayleigh-Bénard convection: insights from embedding theory and comparison with Proper Orthogonal Decomposition analysis. Chaos: An Interdisciplinary Journal of Nonlinear Science, AIP, 2019, pp.033110. ⟨10.1063/1.5081031⟩. ⟨hal-01701353v2⟩
  • Nikki Vercauteren, Vyacheslav Boyko, Davide Faranda, Ivana Stiperski. Scale interactions and anisotropy in stable boundary layers. Quarterly Journal of the Royal Meteorological Society, Wiley, 2019, 145 (722), pp.1799-1813. ⟨10.1002/qj.3524⟩. ⟨hal-02334272⟩
  • Nicholas Moloney, Davide Faranda, Yuzuru Sato. An overview of the extremal index. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2019, 29 (2), pp.022101. ⟨10.1063/1.5079656⟩. ⟨hal-02334271⟩
  • Davide Faranda, Gabriele Messori, Stéphane Vannitsem. Attractor dimension of time-averaged climate observables: insights from a low-order ocean-atmosphere model. Tellus A, Co-Action Publishing, 2019, ⟨10.1080/16000870.2018.1554413⟩. ⟨hal-01759822⟩
  • M. Alvarez-Castro, Davide Faranda, Thomas Noel, Pascal Yiou. Recurrence Spectra of European Temperature in Historical Climate Simulations. Atmosphere, MDPI 2019, 10 (4), pp.166. ⟨10.3390/atmos10040166⟩. ⟨hal-02334274⟩
  • Davide Faranda, Yuzuru Sato, Gabriele Messori, Nicholas Moloney, Pascal Yiou. Minimal dynamical systems model of the Northern Hemisphere jet stream via embedding of climate data. Earth System Dynamics, European Geosciences Union, 2019, 10 (3), pp.555-567. ⟨10.5194/esd-10-555-2019⟩. ⟨hal-02895042⟩
  • K. Giamalaki, C. Beaulieu, Davide Faranda, S. A. Henson, S. Josey, et al.. Signatures of the 1976–1977 Regime Shift in the North Pacific Revealed by Statistical Analysis. Journal of Geophysical Research. Oceans, Wiley-Blackwell, 2018, 123 (6), pp.4388-4397. ⟨10.1029/2017JC013718⟩. ⟨hal-02334268⟩
  • Gabriele Messori, Rodrigo Caballero, Freddy Bouchet, Davide Faranda, Richard Grotjahn, et al.. An Interdisciplinary Approach to the Study of Extreme Weather Events: Large-Scale Atmospheric Controls and Insights from Dynamical Systems Theory and Statistical Mechanics. Bulletin of the American Meteorological Society, American Meteorological Society, 2018, 99 (5), pp.ES81-ES85. ⟨10.1175/BAMS-D-17-0296.1⟩. ⟨hal-02324731⟩
  • David Rodrigues, M Carmen Alvarez-Castro, Gabriele Messori, Pascal Yiou, Yoann Robin, et al.. Dynamical properties of the North Atlantic atmospheric circulation in the past 150 years in CMIP5 models and the 20CRv2c Reanalysis. Journal of Climate, American Meteorological Society, 2018, ⟨10.1175/JCLI-D-17-0176.1⟩. ⟨hal-01504478v2⟩
  • Davide Faranda, Valerio Lembo, Manasa Iyer, Denis Kuzzay, Sergio Chibbaro, et al.. Computation and characterization of local sub-filter-scale energy transfers in atmospheric flows. Journal of the Atmospheric Sciences, American Meteorological Society, 2018, ⟨10.1175/JAS-D-17-0114.1⟩. ⟨hal-01566028v3⟩
  • Davide Faranda, Sandro Vaienti. Correlation dimension and phase space contraction via extreme value theory. Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2018, 28, pp.041103. ⟨10.1063/1.5027386⟩. ⟨hal-01768181⟩
  • Martin Mihelich, Bérengère Dubrulle, Didier Paillard, Quentin Kral, Davide Faranda. Maximum Kolmogorov-Sinai Entropy Versus Minimum Mixing Time in Markov Chains. Journal of Statistical Physics, Springer Verlag, 2018, 170, pp.62 - 68. ⟨10.1007/s10955-017-1874-z⟩. ⟨cea-01687782⟩
  • Claire Waelbroeck, Sylvain Pichat, Evelyn Böhm, Bryan C. Lougheed, Davide Faranda, et al.. Relative timing of precipitation and ocean circulation changes in the western equatorial Atlantic over the last 45 kyr. Climate of the Past, European Geosciences Union (EGU), 2018, 14 (9), pp.1315-1330. ⟨10.5194/cp-14-1315-2018⟩. ⟨hal-02407248⟩
  • P. Debue, V. Shukla, D. Kuzzay, D. Faranda, E.-W. Saw, et al.. Dissipation, intermittency, and singularities in incompressible turbulent flows. Physical Review E , American Physical Society (APS), 2018, 97 (5), pp.053101. ⟨10.1103/PhysRevE.97.053101⟩. ⟨hal-01871198⟩
  • D. Faranda, H. Ghoudi, P. Guiraud, Sandro Vaienti. Extreme value theory for synchronization of coupled map lattices. Nonlinearity, IOP Publishing, 2018, 37 (7), pp.3326. ⟨10.1088/1361-6544/aabc8e⟩. ⟨hal-01768182⟩
  • M Carmen Alvarez-Castro, Davide Faranda, Pascal Yiou. Atmospheric dynamics leading to West European summer hot temperatures since 1851. Complexity, Wiley, 2018, 2018, pp.2494509. ⟨10.1155/2018/2494509⟩. ⟨hal-01370975v3⟩
  • Davide Faranda, Martin Mihelich, Bérengère Dubrulle. A non-equilibrium Ising model of turbulence. Phase Transitions, Taylor & Francis, 2017, 90 (11), pp.1079-1088. ⟨10.1080/01411594.2017.1323083⟩. ⟨hal-02893842⟩
  • Martin Mihelich, Davide Faranda, Didier Paillard, Bérengère Dubrulle. Is Turbulence a State of Maximal Dissipation?. Entropy, MDPI, 2017, ⟨10.3390/e19040154⟩. ⟨hal-01460706v2⟩
  • Emmanuel Virot, Davide Faranda, Xavier Amandolese, Pascal Hemon. Chaotic Dynamics of Flags from Recurring Values of Flapping Moment. International journal of bifurcation and chaos in applied sciences and engineering , World Scientific Publishing, 2017, 27 (02), pp.1750020. ⟨10.1142/S0218127417500201⟩. ⟨hal-02886449⟩
  • Guillaume Nevo, Nikki Vercauteren, Amandine Kaiser, Bérengère Dubrulle, Davide Faranda. Statistical-mechanical approach to study the hydrodynamic stability of the stably stratified atmospheric boundary layer. Physical Review Fluids, American Physical Society, 2017, 2 (084603), ⟨10.1103/PhysRevFluids.2.084603⟩. ⟨hal-01413073v2⟩
  • Davide Faranda, Y Sato, B. Saint-Michel, Cécile Wiertel-Gasquet, Vincent Padilla, et al.. Stochastic Chaos in a Turbulent Swirling Flow. Physical Review Letters, American Physical Society, 2017, 119 (1), pp.014502. ⟨10.1103/PhysRevLett.119.014502⟩. ⟨cea-01567893⟩
  • Denis Kuzzay, Ewe-Wei Saw, Fabio J.W.A. Martins, Davide Faranda, Jean-Marc Foucaut, et al.. New method for detecting singularities in experimental incompressible flows. Nonlinearity, IOP Publishing, 2017, 30 (6), pp.2381-2402. ⟨10.1088/1361-6544/aa6aaf⟩. ⟨hal-02886490⟩
  • Gabriele Messori, Rodrigo Caballero, Davide Faranda. A Dynamical Systems Approach to Studying Mid-Latitude Weather Extremes. Geophysical Research Letters, American Geophysical Union, 2017, pp.GL0728879. ⟨10.1002/2017GL072879⟩. ⟨hal-01460728⟩
  • Davide Faranda, Gabriele Messori, M Carmen Alvarez-Castro, Pascal Yiou. Dynamical properties and extremes of Northern Hemisphere climate fields over the past 60 years. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2017, 24 (4), pp.713-725. ⟨10.5194/npg-24-713-2017⟩. ⟨hal-02886524⟩
  • Davide Faranda, Gabriele Messori, Pascal Yiou. Dynamical proxies of North Atlantic predictability and extremes. Scientific Reports, Nature Publishing Group, 2017, ⟨10.1038/srep41278⟩. ⟨hal-01340301⟩
  • E. -W. Saw, D. Kuzzay, D. Faranda, A. Guittonneau, F. Daviaud, et al.. Experimental characterization of extreme events of inertial dissipation in a turbulent swirling flow. Nature Communications, Nature Publishing Group, 2016, 7, pp.12466. ⟨10.1038/ncomms12466⟩. ⟨cea-01490836⟩
  • Davide Faranda, M Carmen Alvarez-Castro, Pascal Yiou. Return times of hot and cold days via recurrences and extreme value theory. Climate Dynamics, Springer Verlag, 2016, 47, pp.3803-3815. ⟨10.1007/s00382-016-3042-6⟩. ⟨hal-01232444⟩
  • Davide Faranda, Jorge Milhazes Freitas, Pierre Guiraud, Sandro Vaienti. Extreme Value Theory for Piecewise Contracting Maps with Randomly Applied Stochastic Perturbations. Stochastics and Dynamics, World Scientific Publishing, 2016, 16 (3), pp.1660015. ⟨10.1142/S0219493716600157⟩. ⟨hal-01127758⟩
  • Davide Faranda, Dimitri Defrance. A wavelet-based approach to detect climate change on the coherent and turbulent component of the atmospheric circulation. Earth System Dynamics, European Geosciences Union, 2016, 7, pp.517 - 523. ⟨10.5194/esd-7-517-2016⟩. ⟨cea-01493854⟩
  • Davide Faranda, Jorge Milhazes Freitas, Pierre Guiraud, Sandro Vaienti. Statistical Properties of Random Dynamical Systems with Contracting Direction. Journal of Physics A: Mathematical and Theoretical, IOP Publishing, 2016, 49, pp.204001. ⟨10.1088/1751-8113/49/20/204001⟩. ⟨hal-01258390⟩
  • Davide Faranda, Jorge Milhazes Freitas, Pierre Guiraud, Sandro Vaienti. Sampling local properties of attractors via Extreme Value Theory. Chaos, Solitons and Fractals, Elsevier, 2015, Extreme Events and its Applications, 74, pp.55-66. ⟨10.1016/j.chaos.2015.01.016⟩. ⟨hal-01126747⟩
  • Denis Kuzzay, Davide Faranda, Bérengère Dubrulle. Global vs local energy dissipation: The energy cycle of the turbulent von Kármán flow. Physics of Fluids, American Institute of Physics, 2015, 27, pp.75105. ⟨10.1063/1.4923750⟩. ⟨cea-01367140⟩
  • Davide Faranda, Flavio Maria Emanuele Pons, Eugenio Giachino, Sandro Vaienti, Bérengère Dubrulle. Early warnings indicators of financial crises via auto regressive moving average models. Communications in Nonlinear Science and Numerical Simulation, Elsevier, 2015, 29 (1-3), pp.233-239. ⟨10.1016/j.cnsns.2015.05.002⟩. ⟨hal-01258385⟩
  • M. Mihelich, D. Faranda, Bérengère Dubrulle, D. Paillard. Statistical optimization for passive scalar transport: maximum entropy production versus maximum Kolmogorov–Sinai entropy. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2015, 22, pp.187 - 196. ⟨10.5194/npg-22-187-2015⟩. ⟨cea-01490845⟩
  • Davide Faranda, Giacomo Masato, Nicholas Moloney, Yuzuru Sato, François Daviaud, et al.. The switching between zonal and blocked mid-latitude atmospheric circulation: a dynamical system perspective. Climate Dynamics, Springer Verlag, 2015, 2015 (6), pp.2921. ⟨10.1007/s00382-015-2921-6⟩. ⟨hal-01136648v2⟩
  • Davide Faranda, Sandro Vaienti. Extreme value laws for dynamical systems under observational noise. Physica D: Nonlinear Phenomena, Elsevier, 2014, 280-281, pp.86-94. ⟨hal-01126706⟩
  • Davide Faranda, Valerio Lucarini, Paul Manneville, Jeroen Wouters. On using extreme values to detect global stability thresholds in multi-stable systems: The case of transitional plane Couette flow. Chaos, Solitons and Fractals, Elsevier, 2014, 64 (july), pp.26-35. ⟨10.1016/j.chaos.2014.01.008⟩. ⟨hal-01048577⟩
  • Davide Faranda, Flavio Maria, Emanuele Pons, François Daviaud, Brice Saint-Michel, et al.. Modelling and analysis of turbulent datasets using Auto Regressive Moving Average processes. Physics of Fluids, American Institute of Physics, 2014, 26, pp.105101. ⟨10.1063/1.4896637⟩. ⟨cea-01370486⟩
  • Davide Faranda, Xavier Leoncini, Sandro Vaienti. Mixing properties in the advection of passive tracers via recurrences and extreme value theory. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical Society, 2014, 90, pp.019902. ⟨10.1103/PhysRevE.89.052901⟩. ⟨hal-01126730⟩
  • Davide Faranda, Bérengère Dubrulle, François Daviaud, Flavio Maria, Emanuele Pons. Probing turbulence intermittency via autoregressive moving-average models. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, American Physical Society, 2014, 90, pp.061001(R). ⟨10.1103/PhysRevE.90.061001⟩. ⟨cea-01370472⟩
  • Davide Faranda, Mickaël Bourgoin, Sophie Miralles, Philippe Odier, Jean-François Pinton, et al.. Robust estimate of dynamo thresholds in the von Kármán sodium experiment using the extreme value theory. New Journal of Physics, Institute of Physics: Open Access Journals, 2014, 16, pp.083001. ⟨10.1088/1367-2630/16/8/083001⟩. ⟨hal-01079009⟩
  • Valerio Lucarini, Davide Faranda, Jeroen Wouters, Tobias Kuna. Towards a General Theory of Extremes for Observables of Chaotic Dynamical Systems. Journal of Statistical Physics, Springer Verlag, 2014, 154 (3), pp.723 - 750. ⟨10.1007/s10955-013-0914-6⟩. ⟨cea-01384238⟩
  • Davide Faranda, Bérengère Dubrulle, Flavio Maria Emanuele Pons. Statistical early-warning indicators based on autoregressive moving-average models. Journal of Physics A: Mathematical and Theoretical, IOP Publishing, 2014, 47, pp.252001. ⟨10.1088/1751-8113⟩. ⟨cea-01383485⟩
  • Davide Faranda, Sandro Vaienti. A recurrence-based technique for detecting genuine extremes in instrumental temperature records. Geophysical Research Letters, American Geophysical Union, 2013, 40 (21), pp.5782-5786. ⟨10.1002/2013GL057811⟩. ⟨hal-01126695⟩
  • Davide Faranda, Jorge Milhazes Freitas, Valerio Lucarini, Giorgio Turchetti, S. Vaienti. Extreme Value Statistics for Dynamical Systems with Noise. Nonlinearity, IOP Publishing, 2013, 26, pp.2597-2622. ⟨hal-01126656⟩
  • Valerio Lucarini, Tobias Kuna, Jeroen Wouters, Davide Faranda. Relevance of sampling schemes in light of Ruelle's linear response theory. Nonlinearity, IOP Publishing, 2012, 25 (5), pp.1311-1327. ⟨10.1088/0951-7715/25/5/1311⟩. ⟨hal-02886326⟩
  • Davide Faranda, Valerio Lucarini, Giorgio Turchetti, Sandro Vaienti. Extreme value theory for singular measures . Chaos: An Interdisciplinary Journal of Nonlinear Science, American Institute of Physics, 2012, 22 (2), pp.023135. ⟨10.1063/1.4718935⟩. ⟨hal-00975713⟩
  • Valerio Lucarini, Davide Faranda, Matteo Willeit. Bistable systems with stochastic noise: virtues and limits of effective one-dimensional Langevin equations. Nonlinear Processes in Geophysics, European Geosciences Union (EGU), 2012, 19 (1), pp.9-22. ⟨10.5194/npg-19-9-2012⟩. ⟨hal-02886139⟩
  • Davide Faranda, Valerio Lucarini, Giorgio Turchetti, Sandro Vaienti. Generalized Extreme Value distribution parameters as dynamical indicators of Stability. International journal of bifurcation and chaos in applied sciences and engineering , World Scientific Publishing, 2012, 22, pp.1250276. ⟨hal-00975712⟩
  • Davide Faranda, Martin Federico Mestre, Giorgio Turchetti. Analysis of Round Off Errors with Reversibility test as a dynamical indicator. International journal of bifurcation and chaos in applied sciences and engineering , World Scientific Publishing, 2012, 22 (09), pp.1250215. ⟨10.1142/S021812741250215X⟩. ⟨hal-02886318⟩
  • Valerio Lucarini, Davide Faranda, Jeroen Wouters. Universal Behaviour of Extreme Value Statistics for Selected Observables of Dynamical Systems. Journal of Statistical Physics, Springer Verlag, 2012, 147 (1), pp.63-73. ⟨10.1007/s10955-012-0468-z⟩. ⟨hal-02886320⟩
  • Davide Faranda, Valerio Lucarini, Giorgio Turchetti, Sandro Vaienti. Numerical convergence of the block-maxima approach to the Generalized Extreme Value distribution. Journal of Statistical Physics, Springer Verlag, 2011, 145, pp.1156-1180. ⟨hal-00975709⟩

Books1 document

  • Valerio Lucarini, Davide Faranda, Ana Cristina Moreira Freitas, Jorge Milhazes Freitas, Holland Mark, et al.. Extremes and Recurrence in Dynamical Systems. Wiley Interscience, 2016, Pure and Applied Mathematics: A Wiley Series of Texts, Monographs and Tracts, 9781118632192. ⟨hal-02886423⟩

Book sections1 document

  • Davide Faranda. Applications of extreme value theory for dynamical systems to the analysis of blood pressure data.. Christos H. Skiadas Charilaos Skiadas. Handbook of Applications of Chaos Theory, 2016. ⟨hal-02886397⟩

Preprints, Working Papers, ...3 documents

  • Gabriele Messori, Nili Harnik, Erica Madonna, Orli Lachmy, Davide Faranda. A Dynamical Systems Characterisation of Atmospheric Jet Regimes. 2020. ⟨hal-02901407⟩
  • Th Caby, Davide Faranda, S. Vaienti, Pascal Yiou. Extreme value distributions of observation recurrences. 2020. ⟨hal-02904585⟩
  • Gabriele Messori, Davide Faranda. Technical Note: Characterising and comparing different palaeoclimates with dynamical systems theory. 2020. ⟨hal-02932042⟩