The researchers used lysimeter and eddy covariance measurements to fix the energy imbalance in heat flux data. They found that 32% of the imbalance was due to errors in latent heat measurements, while 10% was from sensible heat flux and 58% from available energy. This helps improve the accuracy of heat flux measurements in micrometeorology.