The Atmosphere Land-surface Exchange Inverse (ALEXI) model is used to evaluate instantaneous and daily integrals of latent, sensible and ground heat fluxes, as well as net radiation, at very high spatial resolution. The ALEXI model is primarily driven by remote sensing inputs such as 10.7 micron brightness temperatures, derived fraction vegetation cover and satellite-derived insolation. Prior studies have shown that the ALEXI model is capable of estimating surface fluxes to a high degree of accuracy when compared to land-based instruments. In this paper, we will present the initial results of a 2-year climatology of land surface energy fluxes across the continental United States. The analysis will examine the temporal and spatial variability of surface fluxes as well as examine the seasonal cycle of surface fluxes for various land surface types.