YoVDO

Data Assimilation and Dynamical Systems in Earth Sciences - Lecture 2

Offered By: International Centre for Theoretical Sciences via YouTube

Tags

Earth Science Courses Remote Sensing Courses Dynamical Systems Courses Climate Modeling Courses Uncertainty Quantification Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intersection of data assimilation and dynamical systems in Earth sciences through this comprehensive lecture. Delve into advanced concepts presented by Amit Apte as part of the Workshop on Data Assimilation in Weather and Climate Models. Learn about the mathematical approaches used by leading operational weather forecast centers to estimate atmospheric states and uncertainties. Discover how data assimilation methodologies extend beyond weather prediction to monitor and understand climate variability through historical data reanalysis. Gain insights into the application of these techniques in Land, Atmosphere, and Ocean studies. Understand the importance of addressing the scarcity of well-trained scientists in this field and how this workshop aims to provide comprehensive training in both theory and practical applications. Explore key topics including fundamental concepts, various data assimilation methods, uncertainty estimation, utilization of satellite and remote sensing observations, and diverse applications in land surface studies, oceanography, atmospheric composition, and reanalysis efforts.

Syllabus

Data Assimilation and Dynamical Systems in Earth Sciences (Lecture 2) by Amit Apte


Taught by

International Centre for Theoretical Sciences

Related Courses

Introduction to Dynamical Systems and Chaos
Santa Fe Institute via Complexity Explorer
Nonlinear Dynamics 1: Geometry of Chaos
Georgia Institute of Technology via Independent
Linear Differential Equations
Boston University via edX
Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer
Nonlinear Differential Equations: Order and Chaos
Boston University via edX