Giovanni Conti

Giovanni Conti
Centro Euro-Mediterraneo sui Cambiamenti Climatici | CMCC

PhD

About

15
Publications
1,791
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50
Citations
Additional affiliations
January 2020 - present
Centro Euro-Mediterraneo sui Cambiamenti Climatici
Position
  • PostDoc Position
July 2016 - December 2019
University of Hamburg
Position
  • PostDoc Position
Education
September 2012 - February 2016
Università Ca' Foscari Venezia
Field of study
  • Science and Management of Climate Change (stream Dynamic Climatology)
September 2007 - November 2011
Università di Parma
Field of study
  • Theoretical Physics
September 2003 - February 2008
Università di Parma
Field of study
  • Physics

Publications

Publications (15)
Article
The understanding of the dynamics of the El Nino-La Nina phenomenon in the tropical Pacific has been the subject of an impressive number of works in the last 20 years. The delayed oscillator theory provides an interpretative framework that has allowed enormous advances in understanding. Much evidence that stochastic forcing does play a role in the...
Article
ENSO is investigated here by considering it as a transition from different states. Transition probability matrices can be defined to describe the evolution of ENSO in this way. Sea surface temperature anomalies are classified into four categories, or states, and the probability to move from one state to another has been calculated for both observat...
Article
Full-text available
The velocity fluctuations for point vortex models are studied for the α-turbulence equations, which are characterized by a fractional Laplacian relation between active scalar and the streamfunction. In particular, we focus on the local dynamics regime. The local dynamics differ from the well-studied case of 2D turbulence as it allows to consider th...
Article
Full-text available
In this work we investigate the statistical mechanics of a family of two dimensional (2D) fluid flows, described by the generalized Euler equations, or α-models. These models describe both nonlocal and local dynamics, with one example of the latter given by the surface quasigeostrophy (SQG) model for which the existence of singularities is still un...
Article
Full-text available
In this work we show how it is possible to derive a new set of nudging equations, a tool still used in many data assimilation problems, starting from statistical physics considerations and availing ourselves of stochastic parameterizations that take into account unresolved interactions. The fluctuations used are thought of as Gaussian white noise w...
Article
Full-text available
El Niño Southern Oscillation (ENSO) represents the major driver of interannual climate variability at global scale. Observational and model-based studies have fostered a long-standing debate on the shape and intensity of the ENSO influence over the Euro-Mediterranean sector. Indeed, the detection of this signal is strongly affected by the large int...
Preprint
Full-text available
In this work we investigate the statistical mechanics of a family of two dimensional (2D) fluid flows, described by the generalized Euler equations, or $\alpha$-models. These models describe both nonlocal and local dynamics, with one example of the latter given by the Surface Quasi Geostrophy (SQG) model for which the existence of singularities is...
Preprint
Full-text available
The velocity fluctuations for point vortex models are studied for the {\alpha}-turbulence equations, which are characterized by a fractional Laplacian relation between active scalar and the stream- function. In particular, we focus on the local dynamics regime. We consider the statistics in the thermodynamic limit, that is, we consider an infinite...
Article
Full-text available
A new method to describe hyperbolic patterns in two dimensional flows is proposed. The method is based on the Covariant Lyapunov Vectors (CLVs), which have the properties to be covariant with the dynamics, and thus being mapped by the tangent linear operator into another CLVs basis, they are norm independent, invariant under time reversal and can b...
Article
Full-text available
The chaotic nature of the atmospheric dynamics has stimulated the applications of methods and ideas derived from statistical dynamics. For instance, ensemble systems are used to make weather predictions recently extensive, which are designed to sample the phase space around the initial condition. Such an approach has been shown to improve substanti...
Article
The chaotic nature of the atmospheric dynamics has stimulated the inclusions of methods and ideas derived from statistical dynamics. For instance, weather predictions have recently been based on the development of extensive ensemble systems that are designed to sample the phase space around the initial condition. Such an approach has been shown to...
Article
In recent years the more and more powerful GPU's available on the PC market have attracted attention as a cost effective solution for parallel (SIMD) computing. CUDA is a solid evidence of the attention that the major companies are devoting to the field. CUDA is a hardware and software architecture developed by Nvidia for computing on the GPU. It q...

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Projects

Projects (4)
Project
Investigation of turbulence in geophysical fluid dynamics by means of statistical physics. Understanding of chaotic advection in fluid for a better understanding of submesoscale dynamics.