论文信息 - Validation of the SEBS model

Validation of the SEBS model

The SEBS model (the surface energy balance system) based on land surface energy balance equation is used to estimate sensible heat flux and latent heat flux using remotely sensed data. In this paper, The SEBS model is validated with two sets of data collected in two field experiment on winter-wheat field in Shunyi county of Beijing (116deg 26' E-117deg E; 40deg N-40deg 21' N) and on bare soil in Changping county of Beijing (116deg 26' E- 116deg 28' E; 40deg 10' N-40deg 12' N),China. Sensible and latent heat flux measured by eddy correlation method are compared with these SEBS estimates. The results show: (1) diurnal variant of Sensible and latent heat flux estimated bv SEBS basically agreed with the measured by eddy correlation method both on winter-wheat field and on bare soil, but the performance on winter-wheat field is better than on bare soil, the performance of sensible flux is better than that of latent flux. (2) Both on winter-wheat field and on bare soil, the precision of sensible heat flux estimated by SEBS is higher than that of latent heat flux, while the SEBS model performs better on winter-wheat field than on bare soil. (3) The sensitivity of SEBS to even' parameter is different. The SEBS model is most sensitive to the available energy, up to 0.3, while it is more sensitive to surface-air temperature difference and aerodynamic resistance, up to 0.1 and 0.09 respectively

[1] Wilfried Brutsaert,et al. Aspects of bulk atmospheric boundary layer similarity under free‐convective conditions , 1999 .

[2] Study on energy balance over different surfaces , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[3] Z. Su. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes , 2002 .

[4] William P. Kustas,et al. An intercomparison study on models of sensible heat flux over partial canopy surfaces with remotely sensed surface temperature , 1996 .

[5] T. J. Lyons,et al. Estimation of Regional Evapotranspiration through Remote Sensing , 1999 .

[6] Massimo Menenti,et al. Aggregation effects of surface heterogeneity in land surface processes , 1999 .

[7] William P. Kustas,et al. An Evaluation of Two Models for Estimation of the Roughness Height for Heat Transfer between the Land Surface and the Atmosphere , 2001 .