 The Yulivieri, 1985, algorithm was found to be the most accurate method for retrieving hourly land surface temperature from Fongyun 4A, FY, 4A, geostationary meteorological satellite data. This algorithm was then modified to distinguish between dry and moist atmospheres during both daytime and nighttime. These refined coefficients were then applied to produce FY for ALST official products. The results showed that these products had a lower root mean square error, RMSE, than other methods when compared to INSITA measurements at two different locations. Additionally, the FY for ALST products had a lower RMSE than the moderate resolution imaging spectroradiometer, MODIS, LST product when comparing the same two locations. Finally, the FY for ALST products also had a lower RMSE than the XLHT, CITY, and GZH, Dessert, sites when comparing the long-term changes in temperature over time. This article was authored by Lee Sin-dong, Shurhao Tang, Fu Zhou Wang, and others. We are article.tv, links in the description below.