
Explore numerical weather prediction methods, including data assimilation techniques, uncertainty estimation, and applications in atmospheric and climate modeling.

Explore satellite data assimilation techniques for weather and climate modeling, focusing on theory, methods, and practical applications in atmospheric and oceanic sciences.

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 data assimilation in weather and climate models, covering theory, methods, and applications. Gain hands-on experience with various techniques and their use in atmospheric and oceanic studies.

Explore advanced ocean data assimilation techniques, their applications in climate modeling, and methods for integrating diverse oceanic observations to improve forecasting accuracy and understanding of marine systems.

Explore ocean data assimilation techniques, their applications in monitoring and understanding climate variability, and integration with atmospheric and land surface studies.

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.

Investigación sobre interacciones entre ondas de gravedad internas, remolinos y otras ondas en fluidos geofísicos, examinando su impacto en la dinámica atmosférica y oceánica.

Explores scaling theories of vortex dynamics in 2D turbulence, examining energy transfers and cascades in geophysical fluid systems. Contributes to understanding multi-scale interactions in atmospheric and oceanic flows.

Explores instabilities in neural autoregressive models for geophysical flows, discussing challenges and advancements in predicting complex atmospheric and oceanic dynamics using machine learning techniques.

Explores energetically consistent parameterizations for ocean models, focusing on advanced techniques to accurately represent complex oceanic processes and energy transfers across scales.

Explore Earth's atmosphere: structure, composition, and its crucial role in climate regulation. Learn about greenhouse effects, carbon cycle imbalances, and the impacts of climate change on our planet's systems.

Explore cutting-edge weather and climate modelling techniques with expert talks and Q&A from leading researchers in the field of Climate Informatics.

Impactful short presentations on climate informatics, featuring diverse speakers from leading institutions sharing cutting-edge research and insights in the field.

Impactful short talks from Climate Informatics 2024, featuring experts discussing cutting-edge research and innovations in climate science and data analysis.

Explore groundbreaking exoplanet research revealing distinct 'morning' and 'evening' atmospheres using the James Webb Space Telescope's powerful observations.