Sun, W.; Zhang, J.; Meng, J.; Li, Y., and Cao, K., 2020. An arctic gridded sea surface temperature product constructed from spaceborne radiometer data. In: Jung, H.-S.; Lee, S.; Ryu, J.-H., and Cui, T. (eds.), Advances in Geospatial Research of Coastal Environments. Journal of Coastal Research, Special Issue No. 102, pp. 280-286. Coconut Creek (Florida), ISSN 0749-0208.

A sea surface temperature (SST) record with a grid size of 0.1° for the Arctic region is presented by fusing satellite-derived SST products from three passive-microwave (WindSat, AMSR-E and ASMR2) and four infrared (AVHRR, MODIS onboard Terra and Aqua, and VIIRS) radiometers (RMs). In this study, optimum interpolation (OI) is used to construct the dataset. The fused SST data of Arctic covering the regime north of 60°N span from 2010 to 2018, available with the format of NetcDF. The accuracy of the gridded Arctic SST product was assessed with the drifting buoy measurements. Comparisons with the measurements from Argo buoys show that the Root Mean Squared Errors (RMSE) of the fusion SST data obtained in this study is relatively stable with values ranging from 0.54 to 0.75 °C. This gridded SST data set is characterized with a high spatiotemporal resolution and an assured accuracy.