Evapotranspiraton estimation based on scaling up from leaf stomatal conductance to canopy conductance

Evapotranspiraton (ET) estimation based on scaling up from leaf stomatal conductance (g_s) to canopy conductance (g_c) is important in improving effective use and evaluation of agricultural water resources. Taking a summer maize field in north China as an example, after the response of g_s to main environmental factors was analyzed based on the measured value, the Jarvis model for g_s was established and calibrated. Then the weighted integration model (WI model) was established on the basis of weighted model (W model) after considering the difference of intercept diffuse radiation by shaded leaves in different canopy heights and nonlinear relationship between g_s and the photosynthetically active radiation (PAR) to improve g_c estimation for shaded leaves using integration equation. Meanwhile the estimation accuracy of W and WI models for g_c was compared, and then field ET was estimated using the Penman-Monteith equation. Results indicate that the variation of g_s was similar to that of PAR and the Jarvis model could better express the response of g_s to PAR, vapour pressure deficit and air temperature. Compared to the W model, WI model could effectively improve the estimation accuracy of g_c, with the relative error of 4.4%. Penman-Monteith equation overestimated λET by 9.4% using the estimated g_c by the W model, but underestimated λET by 2.3% using the estimated g_c by the WI model. Therefore, Penman-Monteith equation can estimate maize field ET using the estimated g_c by WI model in the region.