渤海海表面盐度神经网络反演研究OA

Sea surface salinity is an important indicator for studying marine ecological environments and global climate change.Based on a multi-layer neural network,a retrieval model for sea surface salinity in the Bohai Sea is established by using measured sea surface salinity data along with MODIS-Aqua remote sensing reflectance product.Subsequently,the spatiotemporal variations of salinity in the Bohai Sea over four quarters from March 2022 to March 2023 are investigated by mapping the salinity distribution of the Bohai using this model.The results show that the coefficient of determination(R2)and root mean square error(RMSE)of the model are 0.66 and 0.39 respectively,which are better than the previously proposed multi-band linear model(0.39 and 0.60).The mapping of Bohai Sea salinity reveals that the dilution effect of the Yellow River freshwater is a significant factor affecting the sea surface salinity,resulting in a long-term decrease in salinity in Laizhou Bay and Liaodong Bay.After September,followed as the Bohai Cold Water Mass,the Yellow River freshwater moves southward along the Shandong Peninsula,subsequently disperses towards the Bohai Strait and the northern Yellow Sea.