The EC Method: In Depth Theory and Data Processing

In this webinar, which is the fourth of a five part series on the eddy covariance 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.