scholarly journals Eddy Heat Transport in the South China Sea as Estimated from In Situ Data and an Assimilated Ocean Model

2019 ◽  
Author(s):  
Ruibin Ding ◽  
Jiliang Xuan ◽  
Feng Zhou ◽  
Tao Zhang ◽  
In-Sik Kang
2014 ◽  
Vol 119 (12) ◽  
pp. 8296-8314 ◽  
Author(s):  
Lili Zeng ◽  
W. Timothy Liu ◽  
Huijie Xue ◽  
Peng Xiu ◽  
Dongxiao Wang

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Shih-Jen Huang ◽  
Chen-Chih Lin

The satellite-derived aerosol optical depth (AOD) data is used to investigate the distribution of aerosol over the South China Sea (SCS). High correlation coefficients are found between in situ AERONET data and satellite AOD measurements around the SCS with the highest coefficient of 0.9 on the Dongsha Island (i.e., Pratas Island). The empirical orthogonal function (EOF) analysis of AOD over the SCS shows that high AOD is always found around offshore areas of China, Indochina, Sumatra, and Borneo. Besides, spring is the major season of occurring coarse aerosol particles (AOT_C) but fine aerosol particles (AOT_F) occur yearly. The biomass burning is found in Indochina during March and April, and so it is in Sumatra and Borneo from August to October. The results also show that the AOT_F are higher during El Niño events, but higher AOT_C are found in La Niña years.


2017 ◽  
Vol 67 (2) ◽  
pp. 253-262 ◽  
Author(s):  
Wenfang Lu ◽  
Xiao-Hai Yan ◽  
Lu Han ◽  
Yuwu Jiang

Ocean Science ◽  
2020 ◽  
Vol 16 (5) ◽  
pp. 1095-1110
Author(s):  
Hiu Suet Kung ◽  
Jianping Gan

Abstract. We used a well-validated three-dimensional ocean model to investigate the process of energetic response of near-inertial oscillations (NIOs) to a tropical cyclone (TC) and strong background jet in the South China Sea (SCS). We found that the NIO and near-inertial kinetic energy (KEni) varied distinctly during different stages of the TC forcing, and the horizontal and vertical transport of KEni was largely modulated by the velocity and vorticity of the jet. The KEni reached its peak value within ∼1/2 the inertial period after the initial TC forcing stage in the upper layer, decayed quickly by 1∕2 in the next 2 d, and further decreased at a slower rate during the relaxation stage of the TC forcing. Analyses of the KEni balance indicate that the weakened KEni in the upper layer during the forcing stage was mainly attributed to the downward KEni transport due to pressure work through the vertical displacement of isopycnal surfaces, while upward KEni advection from depths also contributed to the weakening in the TC-induced upwelling region. In contrast, during the relaxation stage as the TC moved away, the effect of vertical advection on KEni reduction was negligible and the KEni was chiefly removed by the outward propagation of inertial-gravity waves, horizontal advection, and viscous dissipation. Both the outward wave propagation and horizontal advection by the jet provided the KEni source in the far field. During both stages, the negative geostrophic vorticity south of the jet facilitated the vertical propagation of inertial-gravity waves.


2016 ◽  
Author(s):  
Xueming Zhu ◽  
Hui Wang ◽  
Guimei Liu ◽  
Charly Régnier ◽  
Xiaodi Kuang ◽  
...  

Abstract. In this paper, the performances of two operational ocean forecasting systems, Mercator Océan (MO) in France and South China Sea Operational Forecasting System (SCSOFS) in China, have been examined. Both systems can provide science-based nowcast/forecast products, such as temperature, salinity, water level and ocean circulations. Based on the observed satellite and in-situ data have been obtained in 2012 in the South China Sea, the comparison and validation of the ocean circulations, the structures of the temperature and salinity, and some mesoscale activities are shown. Comparing with the observation, the ocean circulations and SST of MO show better results than those of SCSOFS. However, the structures of temperature and salinity of SCSOFS are better than those of MO. For the mesoscale activities, SST fronts and SST decreasing during the typhoon Tembin of SCSOFS are better agreement with the previous study or satellite data than those of MO; but both of them show some differences from AVISO data. Finally, according to the results compared in above, some suggestions have been proposed for both systems to improve their performances in the near further.


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