Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/44918
Title: Optimization of the modeled surface temperature by assimilation of SST data over the Persian Gulf
Authors: Abbasi, Mahmud Reza
Chegini, Vahid
Sadrinasab, Masoud
Siadatmousavi, Seyed Mostafa
Keywords: Data assimilation;SST;Nudging;OISST;FVCOM
Issue Date: Sep-2018
Publisher: NISCAIR-CSIR, India
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.
Page(s): 1803-1808
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.47(09) [September 2018]

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