SCSIO OpenIR  > 热带海洋环境国家重点实验室(LTO)
Reconstruction of ocean's interior from observed sea surface information
Liu, L; Peng, SQ; Huang, RX;
AbstractObservational surface data are used to reconstruct the ocean's interior through the "interior + surface quasigeostrophic'' (isQG) method. The input data include the satellite-derived sea surface height, satellite-derived sea surface temperature, satellite-derived or Argo-based sea surface salinity, and an estimated stratification of the region. The results show that the isQG retrieval of subsurface density anomalies is quite promising compared to Argo profile data. At similar to 1000 m depth, the directions of retrieved velocity anomalies are comparable to those derived from Argo float trajectories. The reconstruction using surface density input field approximated only by SST (with constant SSS) performs less satisfactorily than that taking into account the contribution of SSS perturbations, suggesting that the observed SSS information is important for the application of the isQG method. Better reconstruction is obtained in the warm season than in the cold season, which is probably due to the stronger stratification in the warm season that confines the influence of the biases in the surface input data (especially SSS) in a shallow layer. The comparison between the performance of isQG with Argo-based SSS input and that with satellite-derived SSS input suggests that the biases in the SSS products could be a major factor that influences the isQG performance. With reduced biases in satellite-derived SSS in the future, the measurement-based isQG method is expected to achieve better reconstruction of ocean interior and thus is promising in practical application.
Department[Liu, Lei; Peng, Shiqiu] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China; [Liu, Lei] Univ Chinese Acad Sci, Beijing, Peoples R China; [Peng, Shiqiu] Qingdao Natl Lab Marine Sci & Technol, Lab Reg Oceanog & Numer Modeling, Qingdao, Peoples R China; [Huang, Rui Xin] Woods Hole Oceanog Inst, Woods Hole, MA 02543 USA
Funding ProjectLTO
Document Type期刊论文
Recommended Citation
GB/T 7714
Liu, L,Peng, SQ,Huang, RX,et al. Reconstruction of ocean's interior from observed sea surface information[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2017,122(2):1042-1056.
APA Liu, L,Peng, SQ,Huang, RX,& of ocean's interior from observed sea surface information.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,122(2),1042-1056.
MLA Liu, L,et al."Reconstruction of ocean's interior from observed sea surface information".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 122.2(2017):1042-1056.
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