Program
ORGANIZERS
Jeremie Bec (CNRS, Institut de Physique de Nice, France), Mickael Bourgoin (CNRS, Ecole Normale Supérieure de Lyon, France), Michele Buzzicotti (Università di Roma Tor Vergata, Italy), Filippo De Lillo (Università di Torino, Italy), Prasad Perlekar (TIFR Hyderabad, Hyderabad, India) and Samriddhi Sankar Ray (ICTS-TIFR, Bengaluru, India)
DATE & TIME
15 February 2027 to 26 February 2027
VENUE
Ramanujan Lecture Hall, ICTS Bengaluru

Just about a century has passed since Lewis F. Richardson’s pioneering work on relative dispersion in turbulence. His seminal insight — that the separation of particle pairs in turbulent flows follows a superdiffusive law — has since evolved into a cornerstone of fluid dynamics.

Richardson was also the first (before the advent of digital computers) to propose the use of numerical integration of the fluid equations for weather forecasting. Numerical methods have since become essential tools for meteorology and climatology, fundamentally transforming our understanding of Earth’s climate. Turbulent dispersion is now a multidisciplinary field that integrates theory, modeling, high-resolution numerical simulations and experiments, with growing relevance to contemporary challenges such as climate modeling and environmental prediction.

This ICTS program will bring together researchers working on Lagrangian and Eulerian descriptions, deterministic and stochastic formulations, microscopic particle dynamics and continuum models, theoretical and experimental approaches, numerical simulations and data-driven analysis of complex dynamics. The program targets a broad and diverse audience, from PhD students to senior scientists, spanning physics, applied mathematics, fluid dynamics, geophysics, and computational science, with the aim of reviewing the recent advancements in theoretical, experimental and numerical tools and addressing the challenges and perspectives along the trail blazed by Richardson.

Specific themes will include:
Stochastic models of pair and multiparticle dispersion.
Experimental and numerical challenges in particle tracking.
Dispersion in geophysical flows and its relevance to climate and environment.
Spontaneous stochasticity and implications for mixing and coarse-grained models.
Data-driven and machine-learning approaches for statistical closure and inference.

Accommodation will be provided for outstation participants at our on campus guest house.

Eligibility Criteria : PhD students, Post-doctoral fellows, and Permanent Researchers working in the broad area of turbulence and turbulent transport. Under exceptional circumstances, Masters students may also be considered.

ICTS is committed to building an environment that is inclusive, non discriminatory and welcoming of diverse individuals. We especially encourage the participation of women and other under-represented groups.

CONTACT US
frdss  ictsresin