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Application of Particle Filters on Data Assimilation

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Atmospheric Science Courses Bayesian Inference Courses Monte Carlo Methods Courses Climate Modeling Courses Nonlinear Systems Courses State Estimation Courses

Course Description

Overview

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Explore the application of particle filters in data assimilation through this comprehensive lecture. Delve into advanced techniques for integrating observations and short-range forecasts to estimate atmospheric states and uncertainties. Learn how particle filters contribute to weather prediction, climate monitoring, and understanding environmental processes across land, atmosphere, and oceans. Gain insights into this powerful mathematical approach used by leading operational weather forecast centers worldwide, and discover its potential for enhancing climate variability analysis through historical data reanalysis.

Syllabus

Application of Particle Filters on Data Assimilation by Prashant Kumar


Taught by

International Centre for Theoretical Sciences

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