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Calibration of an energy water balance model using satellite data of land surface temperature for the Upper Yangtze River basin

机译:使用陆地面温度的卫星数据校准了阳台表面温度的卫星数据

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This study has been carried out among the project “Application of remote sensing and other space technology to hydrology and water resources (ID 5281)”. This poster presents a new methodology for the calibration of distributed hydrological models at basin scale by constraining an internal model variable, the pixel-scale equilibrium temperature. Soil hydraulic and vegetation parameters are then calibrated in each pixel of the domain according to the comparison between observed and simulated land surface temperature minimizing the differences. The model algorithm solves the system of energy and mass balances in terms of a representative equilibrium temperature (RET) that is the land surface temperature that closes the energy balance equation and so governs the fluxes of energy and mass over the basin domain. This equilibrium surface temperature, which is a critical model state variable, is comparable to LST as retrieved from operational remote sensing data (MODIS and AATSR). A traditional “trial and error” calibration procedure is also applied by comparing only discharge measurements in the available cross section. The distributed hydrological energy water balance model (FEST-EWB - Flash–flood Event–based Spatially–distributed rainfall–runoff Transformation- Energy Water Balance) has been implemented for the Upper Yangtze River basin with an extent of about 1,000,000 Km2 at spatial resolution of 5km and temporal resolution of 1 hour. Results are provided in terms of hourly evapotranspiration, soil moisture and land surface temperature maps for the period between 2000 to 2004 where ground and satellite data are available for engineering and environmental applications as parsimonious irrigation, real time flood forecast, and quantitative water resources availability. The model accuracy was controlled from the comparison with traditional discharge daily data series and also from the comparison between model and satellite land surface temperature used as a proxy of evapotranspiration fluxes.
机译:这项研究已跻身该项目“遥感和其他空间技术在水文水资源(ID 5281)应用程序”进行。此海报通过约束内部模型变量,像素规模平衡温度给出了分布式水文模型中的流域尺度校准的新方法。土壤液压和植被参数是根据观察到的和模拟陆地表面温度最小化的差异之间的比较在域中的每个像素然后校准。该模型算法解决能量和质量平衡的系统的代表性平衡温度(RET)是封闭所述能量平衡方程,因此在盆域支配能量和质量的通量的地表温度的条款。此平衡表面温度,这是一个关键的模型状态变量,相当于LST从操作遥感数据(MODIS和AATSR)检索。传统的“试错”校准程序也由仅在可用的横截面比较放电测量施加。分布式水文能量水平衡模型(FEST-EWB - 基于事件的山洪空间分布的降雨径流Transformation-能量水平衡)已在空间分辨率实施了长江上游流域有大约1,000,000平方公里的程度5公里,1小时的时间分辨率。结果提供在每小时蒸发蒸腾,土壤湿度和地表温度地图2000年期间的条款到2004年,其中地面和卫星数据可用于工程和环境应用,简约的灌溉,实时洪水预报,定量水资源的可用性。该模型的精度是由与传统的排出每日数据系列,并且还从作为蒸散通量的代理模型和卫星地表温度之间的比较的比较来控制。

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