Optimization of the modeled surface temperature by assimilation of SST data over the Persian Gulf

Abstract

Present study is the impact of sea surface temperature(SST) data assimilation on the results of FVCOM by using Nudging scheme. Results of statistical assessments showed the capabilities of the SST assimilation. The SST bias decreases from-0.57°C in control run to -0.49 °C in assimilation run. Mean RMS difference of modeled and observations SST is significantly reduced and approaching to 0.69°C. Surface temperatures of shallow parts were optimized specially near the Hormuz Strait.