
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 modelling techniques for rainfall extremes and floods in Karnataka, focusing on data assimilation methods and their applications in weather and climate prediction.

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 the percolative properties of random forests in the arboreal gas model, examining the formation of giant trees and its applications to branched polymer gelation.

Explores the emergence of macroscopic cycles in the interchange process on high-dimensional tori, proving convergence to Poisson-Dirichlet distribution for cycle lengths in dimensions 4 and above.

Explore iterated integrals of modular forms in string theory, their connection to scattering amplitudes, and the concept of multiple modular values in physics.

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

Explore fundamental concepts and theory of data assimilation in weather and climate modeling, focusing on its applications in atmospheric and oceanic sciences.

Explore quantum spin liquids and their physics in doped t-J models with Donna Sheng. Gain insights into cutting-edge research on strongly correlated gapless quantum many-body systems.

Exploration of SO(5) multicriticality in 2D J-Q models, discussing deconfined quantum critical points, quantum spin liquids, and related phenomena in strongly correlated gapless quantum systems.

Explore monopoles, duality, and deconfined quantum tricriticality in this advanced physics talk. Gain insights into cutting-edge research on strongly correlated gapless quantum many-body systems.

Explore deconfined phase transitions using fuzzy sphere microscopy. Gain insights into quantum critical points, symmetries, and strongly correlated gapless states in this expert-led physics talk.

Explore Microsoft's innovative topological quantum computing approach, featuring Majorana quasiparticles and exotic superconductivity. Learn about noise reduction, chip fabrication, and the potential for groundbreaking advancements in quantum technology.

Explore spontaneous strong-to-weak symmetry breaking in quantum many-body systems. Gain insights from expert Yizhi You on this complex topic in theoretical physics and its implications for quantum critical points.

Explore protected gaplessness in deformed Ising models with Carolyn Zhang. Discover insights on quantum many-body systems, critical points, and symmetries in condensed matter physics.

Explore ancient astronomical calculations at Jantar Mantar in Jaipur, India. Learn about Aristarchus' work on celestial distances and sizes using trigonometry and geometry, with insights into heliocentrism and lunar eclipses.

Explore geophysical fluid dynamics, covering eddies, waves, turbulence, and energy transfers in Earth's climate. Gain insights from theory, models, and observations, with tutorials on visualization and machine learning.