TSEB模型在复杂下垫面下模拟结果比较研究

地表蒸散发对干旱半干旱地区水文过程模拟以及水文平衡有重要影响,复杂地表更是对地表蒸散发模拟提出了新的挑战.利用TSEB(Two-Source Energy Balance)模型,分别以Landsat、MODIS卫星数据为驱动数据,得到黑河下游绿洲地表蒸散发时空分布格局,并利用大孔径闪烁仪和涡动相关仪的观测数据对模拟结果...

Comparative Study of Simulation Results of TSEB Model under Various Landcovers and Environment Conditions

Land surface evapotranspiration has an important impact on the simulation of earth’s hydrological processes and hydrological balance， especially in the arid and semi-arid regions. Where the heterogeneous land surface conditions pose new challenges to the simulation of evapotranspiration using the remote sensing models. In this paper， the satellite data collected from Landsat and MODIS were used as driving data of TSEB model， respectively， to obtain the temporal and spatial distribution pattern of land surface evapotranspiration in the downstream of the Heihe watershed. Then the surface heat fluxes measured by the large aperture scintillator with a source area of several kilometers and the eddy covariance with a source area of several hundred meters were used to evaluate the model outputs at the multiple spatial scales. The results showed that the TSEB estimated surface sensible heat flux using Landsat and MODIS data is comparable with the observations from the large aperture scintillator， with Root Mean Square Error （RMSE）values of 48.47 W/m2 and 58.57W/m2， respectively. While comparing with the observation of eddy covariance， the Landsat data-driven TSEB estimates produced RMSE value of 89.37W/m2. Therefore， it can conclude that the TSEB model has a better agreement with ground measurements when using the finer satellite remote sensing data as model inputs. In addition， large aperture scintillator observation with a source area of several kilometers can partially solve the spatial mismatch issues between the remote sensing products and the ground measurements.