
Explores oceanic energy transfers across scales using observational evidence and mechanisms. Discusses multi-scale interactions, turbulent mixing, and energy cycle in Earth's climate system.

Explores small-scale instabilities in inertia-gravity waves, examining their impact on atmospheric and oceanic dynamics. Discusses theoretical perspectives and implications for geophysical fluid dynamics.

Explores submesoscale processes in the East India Coastal Current, examining their impact on ocean dynamics and energy transfers across scales in geophysical fluid dynamics.

Explores mesoscale and submesoscale Ekman pumping in turbulent oceans, examining dynamics, energy transfers, and interactions across scales in geophysical fluid systems.

Explores a spectral framework for constraining anisotropic eddy viscosity in geophysical fluid dynamics, focusing on advanced modeling techniques and their applications in understanding complex oceanic and atmospheric processes.

Explore diapycnal mixing in coastal oceans: mechanisms, impacts, and latest research findings on this crucial process affecting ocean dynamics and climate.

Explore dynamical interactions across oceanic scales, focusing on energy transfers, turbulent mixing, and instabilities. Learn cutting-edge techniques in geophysical fluid dynamics and climate modeling.

Explores meso- to submesoscale ocean turbulence, focusing on energy transfers, instabilities, and mixing processes. Examines theoretical frameworks and observational insights to enhance understanding of multi-scale oceanic dynamics.

Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore biological dynamics using physics tools to model complex living systems, from predator-prey oscillations to bacterial motility, in this introductory course for undergraduates.

Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore biological dynamics using physics tools to model predator-prey oscillations, ecosystem chaos, and microbial swimming. Learn to predict species competition, population changes, and collective behavior in fluids.

Explore data assimilation in Earth sciences, focusing on dynamical systems and their applications in weather and climate modeling. Learn theoretical foundations and practical implementations.

Explore data assimilation in Earth sciences, covering theory, methods, and applications in weather, climate, and environmental monitoring. Gain hands-on experience with various techniques and uncertainty estimation.

Explore fundamental concepts and methods of data assimilation in weather and climate modeling, including uncertainty estimation and applications in atmospheric and oceanic sciences.

Explore data assimilation theory and applications in Earth sciences, focusing on dynamical systems. Gain hands-on experience with practical techniques for integrating observations and forecasts in weather and climate models.

Explore particle filters in data assimilation, a powerful technique for integrating observations and forecasts to estimate atmospheric states and uncertainties in weather and climate modeling.

Explore data assimilation techniques for operational weather forecasting, focusing on experiments conducted at NARL. Learn about integrating observations and short-range forecasts to improve atmospheric state estimation.

Explore self-organized criticality in activated random walk models, examining critical densities across various configurations and their implications for understanding energy release patterns in physical systems.

Explore interacting Polya urns on graphs, their asymptotic behavior, and convergence to equilibrium in this statistical mechanics presentation by Omer Angel at UCLA's IPAM workshop.

Explore advanced data assimilation theory, methods, and applications in weather and climate modeling. Gain insights into uncertainty estimation and remote sensing observation utilization.