亮温拟合模型在南海海表盐度反演中的应用

Application of the Brightness Temperature Fitting Model in Sea Surface Salinity Inversion in the South China Sea

由于当前SMOS反演算法中的正演模型并不完善,SMOS反演盐度在南海的精度非常低。基于此,利用SMOS卫星L2数据的海水表面盐度反演软件L2OS输出原始反演盐度所模拟的亮温和代入HYCOM盐度数据所模拟的亮温建立回归模型,同时反演南海海域的盐度,并与HYCOM、实测数据进行比较。结果表明,使用该方法建立的新模型能有效减小SMOS在南海特定时间反演盐度的误差。

Due to imperfection of the forward model used in current SMOS inversion algorithm, the accuracy of SMOS inversion salinity in the South China Sea is not satisfying. Therefore, the SMOS L2 salinity inversion software L2OS was used to output the brightness temperatures simulated by the original inversion salinity and HYCOM salinity. And then, these two sets of brightness temperatures were used to create regress models. Salinity inversions from the original model and from the new models were compared with HYCOM and in-situ measured salinity. The result shows that the new model created by this method can reduce SMOS retrieval errors in the South China Sea at certain time.