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Featured researches published by Qilong Zhang.


Chinese Journal of Oceanology and Limnology | 2014

Analysis of seasonal variation of water masses in East China Sea

Jifeng Qi; Baoshu Yin; Qilong Zhang; Dezhou Yang; Zhenhua Xu

Seasonal variations of water masses in the East China Sea (ECS) and adjacent areas are investigated, based on historical data of temperature and salinity (T-S). Dynamic and thermodynamic mechanisms that affect seasonal variations of some dominant water masses are discussed, with reference to meteorological data. In the ECS above depth 600 m, there are eight water masses in summer but only five in winter. Among these, Kuroshio Surface Water (KSW), Kuroshio Intermediate Water (KIW), ECS Surface Water (ECSSW), Continental Coastal Water (CCW), and Yellow Sea Surface Water (YSSW) exist throughout the year. Kuroshio Subsurface Water (KSSW), ECS Deep Water (ECSDW), and Yellow Sea Bottom Water (YSBW) are all seasonal water masses, occurring from May through October. The CCW, ECSSW and KSW all have significant seasonal variations, both in their horizontal and vertical extents and their T-S properties. Wind stress, the Kuroshio and its branch currents, and coastal currents are dynamic factors for seasonal variation in spatial extent of the CCW, KSW, and ECSSW, whereas sea surface heat and freshwater fluxes are thermodynamic factors for seasonal variations of T-S properties and thickness of these water masses. In addition, the CCW is affected by river runoff and ECSSW by the CCW and KSW.


Acta Oceanologica Sinica | 2014

The study on seasonal characteristics of water masses in the western East China Sea shelf area

Qilong Zhang; Hongwei Liu; Sisi Qin; Dezhou Yang; Zhiliang Liu

On the basis of the CTD data and the modeling results in the winter and summer of 2009, the seasonal characteristics of the water masses in the western East China Sea shelf area were analyzed using a cluster analysis method. The results show that the distributions and temperature-salinity characteristics of the water masses in the study area are of distinct seasonal difference. In the western East China Sea shelf area, there are three water masses during winter, i.e., continental coastal water (CCW), Taiwan Warm Current surface water (TWCSW) and Yellow Sea mixing water (YSMW), but four ones during summer, i.e., the CCW, the TWCSW, Taiwan Warm Current deep water (TWCDW) and the YSMW. Of all, the CCW, the TWCSW and the TWCDW are all dominant water masses. The CCW, primarily characterized by a low salinity, has lower temperature, higher salinity and smaller spatial extent in winter than in summer. The TWCSW is warmer, fresher and smaller in summer than in winter, and it originates mostly from the Kuroshio surface water (KSW) northeast of Taiwan, China and less from the Taiwan Strait water during winter, but it consists of the strait water and the KSW during summer. The TWCDW is characterized by a low temperature and a high salinity, and originates completely in the Kuroshio subsurface water northeast of Taiwan.


Chinese Journal of Oceanology and Limnology | 2017

Seasonal variation of the Taiwan Warm Current Water and its underlying mechanism

Jifeng Qi; Baoshu Yin; Qilong Zhang; Dezhou Yang; Zhenhua Xu

Based on the historical observed data and the modeling results, this paper investigated the seasonal variations in the Taiwan Warm Current Water (TWCW) using a cluster analysis method and examined the contributions of the Kuroshio onshore intrusion and the Taiwan Strait Warm Current (TSWC) to the TWCW on seasonal time scales. The TWCW has obviously seasonal variation in its horizontal distribution, T-S characteristics and volume. The volume of TWCW is maximum (13 746 km3) in winter and minimum (11 397 km3) in autumn. As to the contributions to the TWCW, the TSWC is greatest in summer and smallest in winter, while the Kuroshio onshore intrusion northeast of Taiwan Island is strongest in winter and weakest in summer. By comparison, the Kuroshio onshore intrusion make greater contributions to the Taiwan Warm Current Surface Water (TWCSW) than the TSWC for most of the year, except for in the summertime (from June to August), while the Kuroshio Subsurface Water (KSSW) dominate the Taiwan Warm Current Deep Water (TWCDW). The analysis results demonstrate that the local monsoon winds is the dominant factor controlling the seasonal variation in the TWCW volume via Ekman dynamics, while the surface heat flux can play a secondary role via the joint effect of baroclinicity and relief.


Acta Oceanologica Sinica | 2012

Interannual variability in the Mindanao Eddy and its impact on thermohaline structure pattern

Qilong Zhang; Hui Zhou; Hongwei Liu

The major feature, interannual variability and variation cause of the Mindanao Eddy and its impact on the thermohaline structure are analyzed based on the Argo profiling float data, the history observed data and the SODA data. The analysis results show that the Mindanao Eddy is a permanent cyclonic meso-scale eddy and spreads vertically from about 500 m depth upward do about 50 m depth. In addition to its strong seasonal variability, the Mindanao Eddy displays a remarkable interannual variability associated with ENSO. It strengthens and expands eastward during El Niño while it weakens and retreats westward during La Niña. The interannual variability in the Mindanao Eddy may be caused by the North Equatorial Counter Current, the North Equatorial Current, the Mindanao Current and the Indonesian Through Flow. The eddy variability can have a great influence on the thermohaline structure pattern in the local upper ocean. When the eddy is strong, the cold and low salinity water inside the eddy moves violently upward from deep layer, the thermocline depth greatly shoals, and the subsurface high salinity water largely decreases, with the upper mixed layer becoming thinner, and vice versa.


Journal of Oceanology and Limnology | 2018

The seasonal variation of the North Pacific Meridional Overturning Circulation heat transport

Hongwei Liu; Qilong Zhang; Chongguang Pang; Yongliang Duan; Jianping Xu

Based on the 50-year SODA reanalysis data, we investigated the basic characteristics and seasonal changes of the meridional heat transport carried by the North Pacific Meridional Overturning Circulation. And we also examined the dynamical and thermodynamic mechanisms responsible for these heat transport variability at the seasonal time scale. Among four cells, the tropical cell (TC) is strongest with a northward heat transport (NHT) of (1.75±0.30) PW (1 PW=1.0×1015 W) and a southward heat transport (SHT) of (-1.69±0.55) PW, the subtropical cell (STC) is second with a NHT of (0.71±0.65) PW and SHT of (-0.63±0.53) PW, the deep tropical cell (DTC) is third with a NHT of (0.18±0.03) PW and SHT of (-0.18±0.11) PW, while the subpolar cell (SPC) is weakest with a NHT of (0.09±0.05) PW and SHT of (-0.07±0.09) PW. These four cells all have different seasonal changes in their NHT and SHT. Of all, the TC has stronger change in its SHT than in its NHT, so do both the DTC and SPC, but the seasonal change in the STC SHT is weaker than that in its NHT. Therefore, their dynamical and thermodynamic mechanisms are different each other. The local zonal wind stress and net surface heat flux are mainly responsible for the seasonal changes in the TC and STC NHTs and SPC SHT, while the local thermocline circulations and sea temperature are primarily responsible for the seasonal changes of the TC, STC and DTC SHTs and SPC NHT.


Acta Oceanologica Sinica | 2015

Seasonal variability in the thermohaline structure of the Western Pacific Warm Pool

Sisi Qin; Qilong Zhang; Baoshu Yin

Using the 28°C isotherm to define the Western Pacific Warm Pool (WPWP), this study analyzes the seasonal variability of the WPWP thermohaline structure on the basis of the monthly-averaged sea temperature and salinity data from 1950 to 2011, and the dynamic and thermodynamic mechanisms based on the monthly-averaged wind, precipitation, net heat fluxes and current velocity data. A ΔT=–0.4°C is more suitable than other temperature criterion for determining the mixed layer (ML) and barrier layer (BL) over the WPWP using monthly-averaged temperature and salinity data. The WPWP has a particular thermohaline structure and can be vertically divided into three layers, i.e., the ML, BL, and deep layer (DL). The BL thickness (BLT) is the thickest, while the ML thickness (MLT) is the thinnest. The MLT has a similar seasonal variation to the DL thickness (DLT) and BLT. They are all thicker in spring and fall but thinner in summer. The temperatures of the ML and BL are both higher in spring and autumn but lower in winter and summer with an annual amplitude of 0.15°C, while the temperature of the DL is higher in May and lower in August. The averaged salinities at these three layers are all higher in March but lower in September, with annual ranges of 0.41–0.45. Zonal currents, i.e., the South Equatorial Current (SEC) and North Equatorial Counter Current (NECC), and winds may be the main dynamic factors driving the seasonal variability in the WPWP thermohaline structure, while precipitation and net heat fluxes are both important thermodynamic factors. Higher (lower) winds cause both the MLT and BLT to thicken (thin), a stronger (weaker) NECC induces MLT, BLT, and DLT to thin (thicken), and a stronger (weaker) SEC causes both the MLT and BLT to thicken (thin) and the DLT to thin (thicken). An increase (decrease) in the net heat fluxes causes the MLT and BLT to thicken (thin) but the DLT to thin (thicken), while a stronger (weaker) precipitation favors thinner (thicker) MLT but thicker (thinner) BLT and DLT. In addition, a stronger (weaker) NECC and SEC cause the temperature of the three layers to decrease (increase), while the seasonal variability in salinity at the ML, BL, and DL might be controlled by the subtropical cell (STC).


Chinese Journal of Oceanology and Limnology | 2013

Interannual variability in the North Pacific meridional overturning circulation

Hongwei Liu; Qilong Zhang; Yijun Hou; Yongliang Duan

We analyzed the temporal and spatial variation, and interannual variability of the North Pacific meridional overturning circulation using an empirical orthogonal function method, and calculated mass transport using Simple Ocean Data Assimilation Data from 1958–2008. The meridional streamfunction field in the North Pacific tilts N-S; the Tropical Cell (TC), Subtropical Cell (STC), and Deep Tropical Cell (DTC) may be in phase on an annual time scale; the TC and the STC are out of phase on an interannual time scale, but the interannual variability of the DTC is complex. The TC and STC interannual variability is associated with ENSO (El Niño-Southern Oscillation). The TC northward, southward, upward, and downward transports all weaken in El Niños and strengthen in La Niñas. The STC northward and southward transports are out of phase, while the STC northward and downward transports are in phase. Sea-surface water that reaches the middle latitude and is subducted may not completely return to the tropics. The zonal wind anomalies over the central North Pacific, which control Ekman transport, and the east-west slope of the sea level may be major factors causing the TC northward and southward transport interannual variability and the STC northward and southward transports on the interannual time scale. The DTC northward and southward transports decrease during strong El Niños and increase during strong La Niñas. DTC upward and downward transports are not strongly correlated with the Niño-3 index and may not be completely controlled by ENSO.


Acta Oceanologica Sinica | 2011

The three-dimensional structure and seasonal variation of the North Pacific meridional overturning-circulation

Hongwei Liu; Qilong Zhang; Yongliang Duan; Yijun Hou


Chinese Journal of Oceanology and Limnology | 2009

Variations in the eastern Indian Ocean warm pool and its relation to the dipole in the tropical Indian Ocean

Qilong Zhang; Yijun Hou; Qinghua Qi; Xuezhi Bai


Chinese Journal of Oceanology and Limnology | 2010

Dynamic mechanism of interannual zonal displacements of the eastern edge of the western Pacific warm pool

Qinghua Qi; Qilong Zhang; Yijun Hou

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Hongwei Liu

Chinese Academy of Sciences

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Yijun Hou

Chinese Academy of Sciences

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Baoshu Yin

Chinese Academy of Sciences

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Dezhou Yang

Chinese Academy of Sciences

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Qinghua Qi

Chinese Academy of Sciences

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Yongliang Duan

Chinese Academy of Sciences

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Hui Zhou

Chinese Academy of Sciences

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Jifeng Qi

Chinese Academy of Sciences

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Sisi Qin

Chinese Academy of Sciences

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Zhenhua Xu

Chinese Academy of Sciences

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