In this study, comprehensive measurements for all energy budget components were measured to examine closure. This included the use of soil heat pulse probes for measuring soil heat flux and soil heat storage, which captured greater soil heterogeneity. When all storage terms were accounted for, a linear regression was applied to the energy budget data and the slope was found to be 0.99 with an intercept of 2.46 (R2 = 0.93). It was also found that the total daily latent heat flux had an influence on the closure accounting for ~40% (P-value < 0.05) of the variability. The total sensible heat flux did not have a similar relationship (R2 < 0.1, P-value > 0.05). Least squares regression and inverse matrix analysis was applied to sets of 24-hour half-hour eddy covariance data to identify areas of error; however, results were inconclusive.