A new method was developed to improve predictions of surface energy fluxes by using satellite data to adjust model parameters. By analyzing land surface temperature data from a Chinese satellite, the researchers were able to better estimate heat and moisture exchanges between the land surface and the atmosphere. The results showed that the new method reduced errors in predicting heat and moisture fluxes, leading to more accurate simulations. This approach can help improve our understanding of how soil moisture and vegetation affect energy exchanges in different types of land cover.