We compute the total increase of the brightness temperature（ T） from each of the five layers in an FY-2E IR1 w indow imagery which corresponds to 50% and 30% increments in the aerosol extinction coefficient within a half hour p eriod. We used the MODTRAN radiative transfer model under the U. S. standard atmosphere

and analyzed the contributions to the total increment in aerosol extinction coefficient in spring

and the level at which the layered increment in T caused by an increment in the aerosol extinction coefficient is absolutely maximal compared with the T values of other l evels. We describe a time difference technique based on atmospheric radiative transfer theory

aim to extract the weak aerosol tracer from the FY-2E infrared（ IR） window channel with a sensitivity of 0. 2 K for clear sky conditions. Both the simulation and case studies results show that we can obtain atmospheric motion vectors（ AMVs） in the arid and semi-arid dust outbreak region by tracking the movement of a weak aerosol tracer in the FY-2E infrared（ IR） window channel using the time difference technique when traditional cloud tracking does not work due to the lack of clouds. The results are in good a greement with the 850 hPa wind field acquired in National Centers for Environmental P rediction（ NCEP） reanalysis data.