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Long-term trend of oceanic surface carbon in the Northwest Pacific from 1958 to 2017

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Acta Oceanologica Sinica 2022年第5期41卷 90-98页

作者： Xuanliang Ji Fei Chai Peng Xiu guimei liu Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting CenterMinistry of Natural ResourcesBeijing100081China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou310012China School of Marine Sciences University of MaineOronoME04469USA State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou510301China

Contrasting decrease and increase trends of sea surface temperature(SST)have been documented in the western Subarctic(WSA)and the rest of the Northwest Pacific(NWP)from 1958 to 2017,***,more(less)total carbon dioxide(TCO_(2))due to ocean cooling(warming)is transported to the surface,which leads to increase(decrease)of oceanic surface partial pressure of carbon dioxide(pCO_(2)).With the combined influence of the rising atmospheric carbon dioxide(CO_(2))level and changing ocean conditions,a prominent increase in oceanic surface pCO_(2) occurred with different rates of increase in summer and winter in the *** oceanic surface pCO_(2) is mainly controlled by the variation of TCO_(2) at the interdecadal timescale and by SST at the seasonal *** results also indicate that increasing SST tends to strengthen the capability of ocean in absorbing anthropogenic CO_(2) in the NWP,while ocean’s uptaking ability is weakened in the cooling area of the WSA.

关键词： sea surface temperature oceanic surface pCO_(2) ocean cooling(warming) control factor

Parameter sensitivity study of the biogeochemical model in the China coastal seas

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Acta Oceanologica Sinica 2015年第12期34卷 51-60页

作者： JI Xuanliang liu guimei GAO Shan WANG Hui National Marine Environmental Forecasting Center Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting Center

In order to develop a coupled basin scale model of ocean circulation and biogeochemical cycling,we present a biogeochemical model including 12 components to study the ecosystem in the China coastal seas（CCS）.The formulation of phytoplankton mortality and zooplankton growth are modified according to biological characteristics of *** four sensitivity biological parameters,zooplankton assimilation efficiency rate（ZooAE_N）,zooplankton basal metabolism rate（ZooBM）,maximum specific growth rate of zooplankton（μ_（20）） and maximum chlorophyll to carbon ratio（Chl2C_m） are obtained in sensitivity experiments for the phytoplankton,and experiments about the parameter μ_（20＇）,half-saturation for phytoplankton NO_3 uptake（K_（NO_3）） and remineralization rate of small detritusN（SDeRRN） are *** results demonstrate that the biogeochemical model is quite sensitive to the zooplankton grazing parameter when it ranges from 0.1 to 1.2 d^（-1）.The K_（NO_3） and SDeRRN also play an important role in determining the nitrogen cycle within certain *** sensitive interval of KNO_3 is from 0.1 to 1.5（mmol/m^3）^（-1）,and interval of SEdRRN is from 0.01 and 0.1 d^（-1）.The observational data from September 1998 to July 2000 obtained at SEATS station are used to validate the performance of biological model after parameters *** results show that the modified model has a good capacity to reveal the biological process features,and the sensitivity analysis can save computational resources greatly during the model simulation.

关键词： China coastal seas biogeochemical model parameter sensitivity

Spatio-temporal variability of chlorophyll a and its responses to sea surface temperature, winds and height anomaly in the western South China Sea

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Acta Oceanologica Sinica 2013年第1期32卷 48-58页

作者： GAO Shan WANG Hui liu guimei LI Hai National Marine Environmental Forecasting Center State Oceanic Administration College of Environmental Science and Engineering Ocean University of China

To understand the response of marine ecosystem to environmental factors, the oceanographic （physical and biochemical） data are analyzed to examine the spatio-temporal distributions of chlorophyll a （Chl a） associated with surface temperature, winds and height anomaly for long periods （1997-2008） in the western South China Sea （SCS）. The results indicate that seasonal and spatial distributions of Chl a are primarily in- fluenced by monsoon winds and hydrography. A preliminary Empirical Orthogonal Function （EOF） analysis of remotely sensed data is used to assess basic characteristics of the response process of Chl a to physical changes, which reveals interannual variability of anomalous low Chl a values corresponding to strong E1 Nifio （1997-1998）, high values corresponding to strong La Nifia （1999-2000）, low Chl a corresponding to moderate E1 Nifio （2001-2003）, upward Chl a after warm event in 2005 off the east coast of Vietnam. The variability of Chl a in nearshore and the Mekong River Estuary （MER） waters also suggests its response to these warm or cold processes. Considering the evidence for covariabilities between Chl a and sea surface temperature, winds, height anomaly （upwelling or downwelling）, cold waters input and strong winds mix- ing may play important roles in the spatial and temporal variability of high Chl a. Such research activities could be very important to gain a mechanistic understanding of ecosystem responses to the climate change in the SCS.

关键词： South China Sea Chlorophyll a temperature wind upwelling

Seasonal variations of phytoplankton phosphorus stress in the Yellow Sea Cold Water Mass

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Acta Oceanologica Sinica 2014年第10期33卷 124-135页

作者： WANG Dan HUANG Bangqin liu Xin liu guimei WANG Hui Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting CenterState Oceanic Administration Key Laboratory of Coastal and Wetland Ecosystems Ministry of Education/Fujian Provincial Key Laboratory of Coastal Ecology and Environmental Studies Xiamen University

The Yellow Sea is located between the China Mainland and the Korean Peninsula, representing a typical shallow epicontinental sea. The Yellow Sea Cold Water Mass（YSCWM） is one of the most important physical features in the Yellow Sea. The characteristics of vertical profiles and seasonal variations of biogenic elements in the YSCWM may lead the variations of nutrient availability（e.g., phosphorus） and phosphorus stress of phytoplankton. In this study, the authors surveyed the seasonal variations of phytoplankton phosphorus stress with emphasis on the effect of the YSCWM during the four cruises in April and October 2006, March and August 2007. Using both bulk and single-cell alkaline phosphatase activity（APA） assays, this study evaluated phosphorus status of phytoplankton community, succession of phytoplankton community and ecophysiological responses of phytoplankton to phosphorus in the typical region of the YSCWM. With the occurrence of the YSCWM, especially the variations of concentration of dissolved inorganic phosphorus（DIP）, the results of bulk APA appeared corresponding seasonal variations. Along Transects A and B, the mean APA in August was the highest, and that in March was the lowest. According to the ELF-labeled assay＇s results, seasonal variations of the ELF-labeled percentages within dominant species indicated that diatoms were dominant in March, April and October, while dinoflagellates were dominant in August. During the four cruises, the ELF-labeled percentages of diatoms except Paralia sulcata showed that diatoms were not phosphorus deficient in April 2006 at all, but suffered from severe phosphorus stress in August 2007. In comparison, the ELF-labeled percentages of dinoflagellates were all above 50% during the four time series, which meant dinoflagellates such as Alexandrium and Scrippsiella, sustained perennial phosphorus stress.

关键词： alkaline phosphatase phosphorus stress phytoplankton Yellow Sea Cold Water Mass Yellow Sea

A hindcast of the Bohai Bay oil spill during June to August 2011

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Acta Oceanologica Sinica 2017年第11期36卷 21-26页

作者： YANG Yiqiu LI Yan liu guimei PAN Qingqing WANG Zhaoyi Marine Environmental Forecasting Division National Marine Environmental Forecasting Center State Oceanic Administration Beijing 100081 China

An operational three-dimensional oil spill model is developed by the National Marine Environmental Forecasting Center（NMEFC）, State Oceanic Administration, China, and the model has been running for 9 a. On June 4 and 17,2011, oil is spilled into the sea water from two separate oil platforms in the Bohai Bay, i.e., Platforms B and C of Penglai 19-3 oilfield. The spill causes pollution of thousands of square kilometres of sea area. The NMEFC’s oil spill model is employed to study the Penglai 19-3 oil-spill pollution during June to August 2011. The wind final analysis data of the NMEFC, which is based on a weather research and forecasting（WRF） model, are analyzed and corrected by comparing with the observation data. A corrected current filed is obtained by forcing the princeton ocean model（POM） with the corrected wind field. With the above marine environmental field forcing the oil spill model, the oil mass balance and oil distribution can be produced. The simulation is validated against the observation, and it is concluded that the oil spill model of the NMEFC is able to commendably simulate the oil spill distribution. Thus the NMEFC’s oil spill model can provide a tool in an environmental impact assessment after the event.

关键词： oil spill hindcast Lagrangian random walk oil distribution swept area

Temporal and spatial variability of the carbon cycle in the east of China's seas:a three-dimensional physical-biogeochemical modeling study

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Acta Oceanologica Sinica 2017年第3期36卷 60-71页

作者： JI Xuanliang liu guimei GAO Shan WANG Hui ZHANG Miaoyin National Marine Environmental Forecasting Center State Oceanic AdministrationBeijing 100081China Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting CenterState Oceanic AdministrationBeijing 100081China

In the east of China＇s seas, there is a wide range of the continental shelf. The nutrient cycle and the carbon cycle in the east of China＇s seas exhibit a strong variability on seasonal to decadal time scales. On the basis of a regional ocean modeling system（ROMS）, a three dimensional physical-biogeochemical model including the carbon cycle with the resolution（1/12）°×（1/12）° is established to investigate the physical variations, ecosystem responses and carbon cycle consequences in the east of China＇s seas. The ROMS-Nutrient Phytoplankton Zooplankton Detritus（NPZD） model is driven by daily air-sea fluxes（wind stress, long wave radiation, short wave radiation, sensible heat and latent heat, freshwater fluxes） that derived from the National Centers for Environmental Prediction（NCEP） reanalysis2 from 1982 to 2005. The coupled model is capable of reproducing the observed seasonal variation characteristics over the same period in the East China Sea. The integrated air-sea CO_2 flux over the entire east of China＇s seas reveals a strong seasonal cycle, functioning as a source of CO_2 to the atmosphere from June to October, while serving as a sink of CO_2 to the atmosphere in the other months. The 24 a mean value of airsea CO_2 flux over the entire east of China＇s seas is about 1.06 mol/（m^2·a）, which is equivalent to a regional total of3.22 Mt/a, indicating that in the east of China＇s seas there is a sink of CO_2 to the atmosphere. The partial pressure of carbon dioxide in sea water in the east of China＇s seas has an increasing rate of 1.15 μatm/a（1μtm/a=0.101 325Pa）, but p H in sea water has an opposite tendency, which decreases with a rate of 0.001 3 a^（–1） from 1982 to *** activity is a dominant factor that controls the pCO_2 air in the east of China＇s seas, and followed by a temperature. The inverse relationship between the interannual variability of air-sea CO_2 flux averaged from the domain area and Ni？o3 SST Index indicates that the carbon cycle in the ea

关键词： the east of China's seas physical-biogeochemical model partial pressure of carbon dioxide in sea water air-sea CO2 flux

Application of the finite analytic numerical method to a flowdependent variational data assimilation

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Acta Oceanologica Sinica 2024年第3期43卷 30-39页

作者： Yan Hu Wei Li Xuefeng Zhang guimei liu Liang Zhang Tianjin Key Laboratory for Marine Environmental Research and Service School of Marine Science and TechnologyTianjin UniversityTianjin 300072China School of Marine Science and Technology Tianjin UniversityTianjin 300072China National Marine Environmental Forecasting Center Ministry of Natural ResourcesBeijing 100081China

An anisotropic diffusion filter can be used to model a flow-dependent background error covariance matrix,which can be achieved by solving the advection-diffusion *** of the directionality of the advection term,the discrete method needs to be chosen very *** finite analytic method is an alternative scheme to solve the advection-diffusion *** a combination of analytical and numerical methods,it not only has high calculation accuracy but also holds the characteristic of the auto *** demonstrate its ability,the one-dimensional steady and unsteady advection-diffusion equation numerical examples are respectively solved by the finite analytic *** more widely used upwind difference method is used as a control *** result indicates that the finite analytic method has higher accuracy than the upwind difference *** the two-dimensional case,the finite analytic method still has a better *** the three-dimensional variational assimilation experiment,the finite analytic method can effectively improve analysis field accuracy,and its effect is significantly better than the upwind difference and the central difference ***,it is still a more effective solution method in the strong flow region where the advective-diffusion filter performs most prominently.

关键词： finite analytic method advection-diffusion equation data assimilation flow-dependent

Seasonal variation of eddy kinetic energy in the South China Sea

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Acta Oceanologica Sinica 2012年第1期31卷 1-15页

作者： WANG Hui WANG Dakui liu guimei WU Huiding LI Ming College of Environment Science and Engineering Ocean University of China Qingdao 266100 China Physical Oceanography Laboratory Ocean University of China Qingdao 266100 China Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting Center State Oceanic Administration Beijing 100081 China Horn Point Laboratory University of Maryland Center for Environmental Science Cambridge Maryland 21613 USA

Mesoscale eddy activity and its modulation mechanism in the South China Sea （SCS） are inves- tigated with newly reprocessed satellite altimetry observations and hydrographic data. The eddy kinetic energy （EKE） level of basin-wide averages show a distinct seasonal cycle with the maximum in August-December and the minimum in February-May. Furthermore, the seasonal pattern of EKE in the basin is dominated by region offshore of central Vietnam （OCV）, southwest of Taiwan Island （SWT）, and southwest of Luzon （SWL）, which are also the breeding grounds of mesoscale eddies in the SCS. Instability theory analysis suggests that the seasonal cycle of EKE is modulated by the baroclinic instability of the mean flow. High eddy growth rate （EGR） is found in the active eddy regions. Vertical velocity shear in the upper 50-500 m is crucial for the growth of baroclinic instability, leading to seasonal EKE evolution in the SCS.

关键词： South China Sea eddy kinetic energy baroclinic instability vertical shear

Comparison of air-sea CO2 flux and biological productivity in the South China Sea,East China Sea,and Yellow Sea:a three-dimensional physical-biogeochemical modeling study

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Acta Oceanologica Sinica 2017年第12期36卷 1-10页

作者： JI Xuanliang liu guimei GAO Shan WANG Hui ZHANG Miaoyin National Marine Environmental Forecasting Center Beijing 100081China Key Laboratory of Research on Marine Hazards Forecasting National Marine Environmental Forecasting CenterState Oceanic AdministrationBeijing 100081China

Marginal seas play important roles in regulating the global carbon budget, but there are great uncertainties in estimating carbon sources and sinks in the continental margins. A Pacific basin-wide physical-biogeochemical model is used to estimate primary productivity and air-sea CO_2 flux in the South China Sea（SCS）, the East China Sea（ECS）, and the Yellow Sea（YS）. The model is forced with daily air-sea fluxes which are derived from the NCEP2 reanalysis from 1982 to 2005. During the period of time, the modeled monthly-mean air-sea CO_2 fluxes in these three marginal seas altered from an atmospheric carbon sink in winter to a source in summer. On annualmean basis, the SCS acts as a source of carbon to the atmosphere（16 Tg/a, calculated by carbon, released to the atmosphere）, and the ECS and the YS are sinks for atmospheric carbon（–6.73 Tg/a and –5.23 Tg/a, respectively,absorbed by the ocean）. The model results suggest that the sea surface temperature（SST） controls the spatial and temporal variations of the oceanic pCO_2 in the SCS and ECS, and biological removal of carbon plays a compensating role in modulating the variability of the oceanic pCO_2 and determining its strength in each sea,especially in the ECS and the SCS. However, the biological activity is the dominating factor for controlling the oceanic pCO_2 in the YS. The modeled depth-integrated primary production（IPP） over the euphotic zone shows seasonal variation features with annual-mean values of 293, 297, and 315 mg/（m^2·d） in the SCS, the ECS, and the YS, respectively. The model-integrated annual-mean new production（uptake of nitrate） values, as in carbon units, are 103, 109, and 139 mg/（m^2·d）, which yield the f-ratios of 0.35, 0.37, and 0.45 for the SCS, the ECS, and the YS, respectively. Compared to the productivity in the ECS and the YS, the seasonal variation of biological productivity in the SCS is rather weak. The atmospheric pCO_2 increases from 1982 to 2005, which is consistent with the anthropo

关键词： physical-biogeochemical model air to sea CO_2 flux South China Sea East China Sea Yellow Sea