ABSTRACT

The association of hydrological models with remote sensing data allows the estimation of parameters that cannot be easily measured in situ, especially in regions with poor monitoring networks. In this paper, a distributed hydrological energy water balance model (FEST-EWB) was calibrated and validated in a basin located in a climate transition zone between a semi-arid region and the humid Atlantic Forest, in Brazil. Land surface temperature (LST) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) were used to calibrate the model, that solves the system of energy and mass balance equations as a function of the representative equilibrium temperature. For validation, soil moisture and LST data collected in situ were used. The model presented good performance for the simulation of the variables studied in the basin, even with reduced availability of MODIS data due to cloud coverage, allowing the use of FEST-EWB in areas with these characteristics, which are common in many regions of the world.

摘要

将水文模型与遥感数据结合起来，可以估算出不易就地测量的参数，尤其是在监测网络较差的地区。在本文中，在巴西半干旱地区与湿润的大西洋森林之间的气候过渡区的盆地中，对分布式水文能量水平衡模型（FEST-EWB）进行了校准和验证。来自中分辨率成像光谱仪（MODIS）的地表温度（LST）数据用于校准模型，该模型将能量和质量平衡方程组作为代表平衡温度的函数进行求解。为了进行验证，使用了原位收集的土壤水分和LST数据。该模型为模拟流域中研究的变量提供了良好的性能，