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http://dx.doi.org/10.7850/jkso.2015.20.3.119

Impacts of Argo temperature in East Sea Regional Ocean Model with a 3D-Var Data Assimilation  

KIM, SOYEON (Global Environment System Research Division, National Institute of Meteorological Research)
JO, YOUNGSOON (Korea Institute of Atmospheric Prediction Systems)
KIM, YOUNG-HO (Physical Oceanography Division, Korea Institute of Ocean Science & Technology)
LIM, BYUNGHWAN (Global Environment System Research Division, National Institute of Meteorological Research)
CHANG, PIL-HUN (Global Environment System Research Division, National Institute of Meteorological Research)
Publication Information
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY / v.20, no.3, 2015 , pp. 119-130 More about this Journal
Abstract
Impacts of Argo temperature assimilation on the analysis fields in the East Sea is investigated by using DAESROM, the East Sea Regional Ocean Model with a 3-dimensional variational assimilation module (Kim et al., 2009). Namely, we produced analysis fields in 2009, in which temperature profiles, sea surface temperature (SST) and sea surface height (SSH) anomaly were assimilated (Exp. AllDa) and carried out additional experiment by withdrawing Argo temperature data (Exp. NoArgo). When comparing both experimental results using assimilated temperature profiles, Root Mean Square Error (RMSE) of the Exp. AllDa is generally lower than the Exp. NoArgo. In particular, the Argo impacts are large in the subsurface layer, showing the RMSE difference of about $0.5^{\circ}C$. Based on the observations of 14 surface drifters, Argo impacts on the current and temperature fields in the surface layer are investigated. In general, surface currents along the drifter positions are improved in the Exp. AllDa, and large RMSE differences (about 2.0~6.0 cm/s) between both experiments are found in drifters which observed longer period in the southern region where Argo density was high. On the other hand, Argo impacts on the SST fields are negligible, and it is considered that SST assimilation with 1-day interval has dominant effects. Similar to the difference of surface current fields between both experiments, SSH fields also reveal significant difference in the southern East Sea, for example the southwestern Yamato Basin where anticyclonic circulation develops. The comparison of SSH fields implies that SSH assimilation does not correct the SSH difference caused by withdrawing Argo data. Thus Argo assimilation has an important role to reproduce meso-scale circulation features in the East Sea.
Keywords
ocean; data assimilation; Argo; East Sea;
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