基于AMSR-E反演青藏高原夏季表层土壤湿度

发布时间：2019-04-09 11:32

【摘要】：利用AMSR-E观测的土壤表层亮温资料,采用简化修正的单通道算法模型(Single Channel Algorithm,SCA),反演青藏高原地区夏季2011年6-8月的表层土壤湿度。为对比验证反演结果,利用高原东部和中部的玛曲观测网和那曲观测网CTP-SMTMN(Soil Moisture and Temperature Monitoring Netw ork on the central Tibetan Plateau)的土壤湿度观测数据,以及NASA和VUA-NASA两种均基于AM SR-E的反演土壤湿度产品进行验证。结果表明:(1)与VUA-NASA产品和修改后的SCA模型反演结果相比,NASA产品在像元和区域尺度上相关系数较低,MAE(Mean Absolute Error)和RMSE(Root M ean Square Error)较高,明显低估了两个地区的土壤湿度。(2)VUA-NASA产品在玛曲地区表现良好,在那曲地区虽然相关系数较高,但MAE和RMSE同样较高,导致精度较差。(3)对比其他两种产品,修改后的SCA模型反演结果在两个地区表现出较高的相关系数(接近0.800)、较低的MAE(接近0.050m~3·m~(-3))和RMSE(接近0.060 m~3·m~(-3)),有着较高的精度。因此,可以认为修改后的SCA模型可以应用于青藏高原地区土壤湿度动态监测,为研究青藏高原地区的天气和气候变化影响及水循环过程提供了参考和借鉴。
[Abstract]:The soil moisture in the surface of the Qinghai-Tibet Plateau from June to August 2011 was studied by using the single-channel algorithm model (SCA) of the simplified correction. In order to compare the results of the verification, the soil moisture observation data of the Marqu and the central Tibetan Plateau in the east and middle of the plateau, as well as both NASA and the VUA-NASA, are used for the verification of the soil moisture products based on the AM SR-E. The results show that (1) Compared with the results of the VUA-NASA product and the modified SCA model, the correlation coefficient of the NASA products is lower, and the ME (Mean Absolute Error) and the RMSE (Root MBean Square Error) are higher, and the soil moisture in the two areas is obviously underestimated. (2) The VUA-NASA products show good performance in the maqu area, although the correlation coefficient is high in that area, MAE and RMSE are also high, resulting in poor precision. (3) Compared with other two products, the modified SCA model inversion results show high correlation coefficient (close to 0.800), lower MAE (close to 0.050 m ~ 3 路 m ~ (-3)) and RMSE (close to 0.060 m ~ 3 路 m ~ (-3)). Therefore, it can be considered that the modified SCA model can be applied to the dynamic monitoring of the soil moisture in the Qinghai-Tibet Plateau.
【作者单位】：成都信息工程大学大气科学学院高原大气与环境四川省重点实验室;
【基金】：国家自然科学基金面上项目(41275033);国家自然科学基金青年科学基金项目(41305076)
【分类号】：S152.71

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