Products are divided into two datasets due to website upload restrictions This is a seamless global daily sea surface temperature long-term (2013-2019) dataset These daily products include 2555 global sea surface temperature NetCDF4 files (raw and reconstructed data) from January 1, 2013 to December 31, 2019. To further validate the effectiveness of these products, three verification ways are employed as follow: 1) In-situ validation; 2) Time-series validation; And 3) a comparison with interpolation method This sea surface temperature dataset is comprised of netCDF4 (*.nc) files. Therefore, users need to install netCDF4 toolkit before reading the data: pip install netCDF4 pip install numpy It should be noted that the original and reconstructed sea surface temperature data are both recorded in one NC file. User can read the original data, reconstructed data as follows: Data = nc.Dataset(NC_file_position) Ori_data = Data.variables['original_sst'] Rec_data = Data.variables['reconstructed_sst'] Ori = Ori_data[0:2160, 0:4320] Rec = Rec_data[0:2160, 0:4320]

 Seamless Global Daily SNPP-VIIRS Sea Surface Temperature Products from 2013 to 2019