Submitted to: Proceedings of the Young Chinese Scientists Conference
Publication Type: Proceedings
Publication Acceptance Date: November 20, 1995
Publication Date: N/A
It has been well documented that water and heat fluxes from the land surface have strong impact on global and regional climates. Thus, an appropriate parameterization of land surface fluxes in the Atmospheric General Circulation Models is required. Since satellite remote sensing is the only technology that can provide the spatial distribution of surface information at regional and global scales, estimation of surface fluxes by using remote sensing data has become an active research area. After an introduction summarizing the state-of-the-art of remote sensing technology, this paper presents two different versions of a coupled model simulating land surface energy and CO2 fluxes with remote sensing and meteorological data. One version using estimates of surface layer soil moisture to solve for soil surface temperature is shown to better predict the observations of the surface fluxes collected during the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE) than does the other version using remotely sensed composite surface temperature to extract soil surface temperature. This result implies that surface soil moisture is an important variable for accurate predictions by the model, and that it may be difficult to extract an accurate soil surface temperature from a remotely sensed composite surface temperature of a heterogeneous surface.