The Eddy Covariance Method - In-depth Theory and Data Processing (4 of 5)

In this webinar, which is the fourth of a five part series on the eddy covariance method (also known as the eddy flux method), you will learn about advanced data analysis, common corrections, and related topics, including:

• Fundamental theory for eddy covariance data processing
• Sources of errors and correction procedures
• Implementing corrections in the proper order

Eddy covariance systems are complex, involving multiple sensors that measure highly variable meteorological parameters. As a result, a number of corrections are needed in order to compute reliable flux estimates. Join LI-COR application scientists as they describe how to use these corrections to improve flux calculations.

Related Videos: