Metode Interpolasi pada umumnya digunakan untuk menghasilkan data permukaan dan mengisi data. Metode interpolasi yang banyak digunakan dalam pengolahan Suhu Permukaan Laut (SPL) adalah Inverse Distance Weighted (IDW), Kriging, Natural Neighbor Interpolation (NNI). Dan Spline. Pada penelitian ini, empat metode interpolasi yang umum digunakan pada pengolahan SPL ditinjau dan dibandingkan untuk menemukan metode interpolasi yang baik untuk pengolahan SPL. Data yang digunakan adalah data Argo Float yang berupa titik SPL, dan data citra Aqua MODIS (Moderate Resolution Imaging Spectroradiometer) sebagai data pedoman atau pembanding. Metode penilaian yang digunakan adalah tampilan hasil dari interpolasi citra, perbandingan nilai maksimum dan minimum, perbandingan rerata, perbandingan RMSE (Root Mean Square) dan perbandingan Standard Deviation Difference. Hasil dari perbandingan tersebut menunjukkan bahwa metode interpolasi IDW merupakan metode yang cocok untuk melakukan interpolasi data SPL yang dihasilkan oleh Argofloat.

Variance errors of Himawari-8, buoy, and Multi-scale Ultra-high Resolution (MUR) SST in Savu Sea have been investigated. This research used level 3 Himawari-8 hourly SST, in situ measurement of buoy, and daily MUR SST in the period of December 2016 to July 2017. The data were separated into day time data and night time. Skin temperature of Himawari-8 and subskin tempertaure of MUR SST were corrected with the value of 15∆Tdept">  before compared with buoy data. Hourly SST of Himawari-8 and buoy data were converted to daily format by averaging process before collocated with MUR SST data. The number of 2,264 matchup data are obtained. Differences average between Himawari-8, buoy and MUR SST were calculated to get the value of variance (Vij).  Using three-way error analysis, variance errors of each observation type can be known. From the analysis results can be seen that the variance error of Himawari-8, buoy and MUR SST are 2.5 oC, 0.28oC and 1.21oC respectively. The accuracy of buoy data was better than the other. With a small variance errors, thus buoy data can be used as a reference data for validation of SST from different observation type.

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