Data Assimilation - Basic Theory - Lecture 1

Explore the fundamental concepts of data assimilation in this comprehensive lecture, the first in a series from the Workshop on Data Assimilation in Weather and Climate models. Delve into the basic theory behind this crucial mathematical approach used by leading operational weather forecast centers worldwide. Learn how data assimilation integrates observations and short-range forecasts to estimate the most accurate atmospheric state and its uncertainties. Discover the wide-ranging applications of this versatile tool in monitoring and understanding climate variability, as well as investigating processes within Land, Atmosphere, and Ocean domains. Gain insights into the importance of data assimilation in addressing the scarcity of well-trained scientists and researchers in this field. This lecture serves as an essential foundation for understanding various data assimilation methods, uncertainty estimation techniques, and the utilization of satellite and remote sensing observations in weather and climate modeling.

Data Assimilation – Basic Theory (Lecture 1) by Varahan