A reconstructed 4D Pacific ocean temperature field from sparse Argo data based on the blocking sparse tensor interpolation

Based on the tensor method, we reconstructed the Argo data of ocean temperature spatio-temporal field in the Pacific Ocean. The time range of the data is from January 2004 to December 2020, the spatial range is 60° N -- 60° S, and the depth range is 2.5 dbar -- 1000 dbar with 23 layers in the Pacific Ocean area of 120° E -- 180° -- 60° W. The data product are provided in a NetCDF file. Moreover, compared with other reconstruction dataset products such as BOA and EN4G, this dataset has the following superiorities: In the overall reconstruction accuracy, the accuracy of the dataset based on Tensor method is the highest at each depth layer, and it is continuous at different depths; In terms of the reconstruction accuracy of the typical layer, the Tensor product can reconstruct the local structural characteristics.