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Vertical displacement loading tides and self-attraction and loading tides in the Bohai, Yellow, and East china Seas

Science china Earth Sciences 2013年第2期56卷 63-70页

作者： FANG GuoHong XU XiaoQing wei ZeXun WANG YongGang WANG XinYi key laboratory of Marine Sciences and {2. modeling First Institute of Oceanography State Oceanic Administration

The loading tides are calculated by means of the Green's function method based on a high-resolution regional ocean tide model, the TOPO7.0 global ocean tide model, and the Gutenberg-Bullen A Earth model. The results show that the maximal amplitude of M2.vertical displacement loading (VDL) tide in the Bohai, Yellow, and East china Seas exceeding 2.mm appears 150km off the Zhejiang coast; the second maximum exceeding 2.mm appears in Inchon Bay; and the third maximum exceeding 14mm is located in the northeast of the North Yellow Sea. The maximal amplitudes of S2.VDL tide at the above three locations exceed 10, 8, and 4mm, respectively. The maximal amplitudes of the K1 and O1 VDL tides, exceeding 13 and 10 mm respectively, appear near the central and north Ryukyu Islands; the amplitudes tend to decease toward the inward areas. The phases of semidiurnal VDL tides are basically opposite to those of corresponding ocean tides. The phases of diurnal VDL tides are basically opposite to those of corresponding ocean tides in the most part of the East china Sea and the eastern part of the South Yellow Sea. This anti-phase relationship generally does not hold in the rest parts of the Bohai and Yellow Seas. The distribution patterns of self-attraction and loading (SAL) tides are very similar to those of VDL tides. The SAL tides have amplitudes about 1.2.1.7 times of the corresponding VDL tides and their phases are basically opposite to the corresponding VDL tides. The maximal amplitude of M2.SAL tide also appears off the Zhejiang coast, with a magnitude exceeding 42.m.

关键词： Bohai Sea Yellow Sea East china Sea ocean tides loading tides self-attraction and loading tides

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Remote sensing Extraction model of redtide biomass by airborne hyperspectral technique

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Optoelectronics Letters 2006年第1期2卷 58-62页

作者： MA Yi ZHANG Jie CUI Ting-wei first institute of {2. State Oceanic Administration Qingdao 266061 China key Lab of Marine Science and numerical {2. State Oceanic Administration Qingdao 266061 China

Our work is based on the known research results of inherent optical quality of ocean color *** to optimized parameters and induced fluorescence term of chlorophyll, this paper puts forward a remote sensing reflectance model of sea water, which is fitted in Liaodong Bay of Bohai. An inverse model that can evaluate redtide biomass according to chlorophyll retrieval is provided by inducing a functional extreme problem. The calculation example of the model indicates that the inversion model has explicit mathematic and physical meaning, but its practicability needs to be verified.

关键词：细微传感模型生物量光传感器优化参数荧光性

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Record-Setting Ocean Warmth Continued in 2.19

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Advances in Atmospheric Sciences 2020年第2期37卷 137-142页

作者： Lijing CHENG John ABRAHAM Jiang ZHU Kevin ETRENBERTH John FASULLO Tim BOYER Ricardo LOCARNINI Bin ZHANG Fujiang yu Liying WAN Xingrong CHEN Xiangzhou SONG yulong LIU Michael EMANN International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China University of St.Thomas School of EngineeringMinnesota 55105USA National Center for Atmospheric Research BoulderColorado 80307USA National oceanic and Atmospheric administration National Centers for Environmental InformationSilver SpringMaryland 20910USA institute of Oceanology Chinese Academy of SciencesQingdao 266071China National Marine Environmental Forecasting Center Ministry of Natural Resources of ChinaBeijing 100081China College of oceanography Hohai UniversityNanjing 210098China National Marine Data and Information Service Tianjin 300171China Department of Meteorology&Atmospheric Science The Pennsylvania State UniversityUniversity ParkPennsylvania 16802USA state key {2. of Satellite Ocean Environment Dynamics Second Institute of OceanographyHangzhou 310012China

Human-emitted greenhouse gases(GHGs)have resulted in a long-term and unequivocal warming of the planet(IPCC,2.19).More than 90%of the excess heat is stored within the world's oceans,where it accumulates and causes inc... 详细信息

关键词： greenhouse warming ocean

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A review of progress in coupled ocean-atmosphere model developments for ENSO studies in china

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Journal of Oceanology and Limnology 2020年第4期38卷 930-961页

作者： ZHANG Rong-Hua yu Yongqiang SONG Zhenya REN Hong-Li TANG Youmin QIAO Fangli WU Tongwen GAO Chuan HU Junya TIAN Feng ZHU yuchao CHEN Lin LIU Hailong LIN Pengfei WU Fanghua WANG Lin key laboratory of Ocean Circulation and Waves Institute of Oceanologyand Center for Ocean Mega-ScienceChinese Academy of SciencesQingdao 266071China laboratory for Ocean and Climate Dynamics Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China Center for Excellence in Quaternary Science and Global Change Chinese Academy of SciencesXi’an 710061China University of Chinese Academy of Sciences Beijing 100049China LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100049China first institute of {2. Ministry of Natural ResourcesQingdao 266061China laboratory for Regional oceanography and {2. modeling Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China key laboratory of Marine Science and {2. modeling(MASNUM) Ministry of Natural ResourcesQingdao 266061China National Engineering laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Qingdao 266061China state key {2. of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China laboratory for Climate Studies and CMA-NJU Joint laboratory for Climate Prediction Studies National Climate CenterChina Meteorological AdministrationBeijing 100081China Environmental Science and Engineering University of Northern British ColumbiaBritish Columbia V2N 4Z9Canada state key {2. of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China key laboratory of Meteorological Disaster Ministry of Education(KLME)and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjing 210044China Beijing Climate Center China Meteorological AdministrationBeijing 100081China

El Nino-Southern Oscillation(ENSO) is the strongest interannual signal that is producedby basinscale processes in the tropical Pacific,with significant effects on weather and climate *** the past,extensive and intensive international efforts have been devoted to coupled model developments for ENSO studies.A hierarchy of coupled ocean-atmo sphere models has been formulated;in terms of their complexity,they can be categorized into intermediate coupled models(ICMs),hybrid coupled models(HCMs),and fully coupled general circulation models(CGCMs).ENSO modeling has made significant progress over the past decades,reaching a stage where coupled models can now be used to successfully predict ENSO events 6 months to one year in ***,ENSO exhibits great diversity and complexity as observed in nature,which still cannot be adequately captured by current state-of-the-art coupled models,presenting a challenge to ENSO *** primarily reviewed the long-term efforts in ENSO modeling continually and steadily made at different institutions in china;some selected representative examples are presented here to review the current status of ENSO model developments and applications,which have been actively pursued with noticeable progress being made *** ENSO simulations are very sensitive to model formulations and process representations etc.,dedicated efforts have been devoted to ENSO model developments and ***,different ocean-atmosphere coupled models have been available in china,which exhibit good model performances and have already had a variety of applications to climate modeling,including the Coupled Model Intercomparison Project Phase 6(CMIP6).Nevertheless,large biases and uncertainties still exist in ENSO simulations and predictions,and there are clear rooms for their improvements,which are still an active area of researches and ***,model performances of ENSO simulations are assessed in terms of advantages and disadvantage

关键词： El Niño-Southern Oscillation(ENSO) coupled ocean-atmosphere models simulations and predictions model biases and uncertainties

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Upper Ocean Temperatures Hit Record High in 2.2.

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Advances in Atmospheric Sciences 2021年第4期38卷 523-530页

作者： Lijing CHENG John ABRAHAM Kevin ETRENBERTH John FASULLO Tim BOYER Ricardo LOCARNINI Bin ZHANG Fujiang yu Liying WAN Xingrong CHEN Xiangzhou SONG yulong LIU Michael EMANN Franco RESEGHETTI Simona SIMONCELLI Viktor GOURETSKI Gengxin CHEN Alexey MISHONOV Jim REAGAN Jiang ZHU International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China University of St.Thomas School of EngineeringMinnesota 55105USA National Center for Atmospheric Research BoulderColorado 80307USA National oceanic and Atmospheric administration National Centers for Environmental InformationSilver SpringMaryland 20910USA institute of Oceanology Chinese Academy of SciencesQingdao 266071China National Marine Environmental Forecasting Center Ministry of Natural Resources of ChinaBeijing 100081China College of oceanography Hohai UniversityNanjing 210098China National Marine Data and Information Service Tianjin 300171China Department of Meteorology&Atmospheric Science The Pennsylvania State UniversityUniversity ParkPennsylvania 16802USA Italian National Agency for New Technologies Energy and Sustainable Economic DevelopmentS.Teresa Research CenterLerici 19032Italy Istituto Nazionale di Geofisica e Vulcanologia Sede di BolognaBologna 40128Italy South china Sea institute of Oceanology Chinese Academy of SciencesGuangzhou 510301China ESSIC/CISESS-MD University of MarylandCollege ParkMaryland 20742USA

The long-term warming of the ocean is a critical indicator of both the past and present state of the climate system. It also provides insights about the changes to come, owing to the persistence of both decadal variations and secular trends,which the ocean records extremely well(Hansen et al., 2.11;IPCC, 2.13;Rhein et al., 2.13;Trenberth et al., 2.16;Abram et al., 2.19).

关键词： ocean Upper warming

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Another Record: Ocean Warming Continues through 2.2. despite La Nina Conditions

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Advances in Atmospheric Sciences 2022年第3期39卷 373-385页

作者： Lijing CHENG John ABRAHAM Kevin ETRENBERTH John FASULLO Tim BOYER Michael EMANN Jiang ZHU Fan WANG Ricardo LOCARNINI yuanlong LI Bin ZHANG Zhetao TAN Fujiang yu Liying WAN Xingrong CHEN Xiangzhou SONG yulong LIU Franco RESEGHETTI Simona SIMONCELLI Viktor GOURETSKI Gengxin CHEN Alexey MISHONOV Jim REAGAN International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Ocean Mega-Science Chinese Academy of SciencesQingdao 266071China University of St.Thomas School of EngineeringMinnesota 55105USA National Center for Atmospheric Research BoulderColorado 80307USA National oceanic and Atmospheric administration National Centers for Environmental InformationSilver SpringMaryland 20910USA Department of Meteorology&Atmospheric Science The Pennsylvania State UniversityUniversity ParkPennsylvania 16802USA institute of Oceanology Chinese Academy of SciencesQingdao 266071China National Marine Environmental Forecasting Center Ministry of Natural Resources of ChinaBeijing 100081China College of oceanography Hohai UniversityNanjing 210098China National Marine Data and Information Service Tianjin 300171China Italian National Agency for New Technologies Energy and Sustainable Economic DevelopmentS.Teresa Research CenterLerici 19032Italy Istituto Nazionale di Geofisica e Vulcanologia Sede di BolognaBologna 40128Italy South china Sea institute of Oceanology Chinese Academy of SciencesGuangzhou 510301China ESSIC/CISESS-MD University of MarylandCollege ParkMD 20742USA

The increased concentration of greenhouse gases in the atmosphere from human activities traps heat within the climate system and increases ocean heat content(OHC). Here, we provide the first analysis of recent OHC changes through 2.2. from two international groups. The world ocean, in 2.2., was the hottest ever recorded by humans, and the 2.2. annual OHC value is even higher than last year’s record value by 14 ± 11 ZJ(1 zetta J = 102. J) using the IAP/CAS dataset and by16 ± 10 ZJ using NCEI/NOAA dataset. The long-term ocean warming is larger in the Atlantic and Southern Oceans than in other regions and is mainly attributed, via climate model simulations, to an increase in anthropogenic greenhouse gas concentrations. The year-to-year variation of OHC is primarily tied to the El Nino-Southern Oscillation(ENSO). In the seven maritime domains of the Indian, Tropical Atlantic, North Atlantic, Northwest Pacific, North Pacific, Southern oceans,and the Mediterranean Sea, robust warming is observed but with distinct inter-annual to decadal variability. Four out of seven domains showed record-high heat content in 2.2.. The anomalous global and regional ocean warming established in this study should be incorporated into climate risk assessments, adaptation, and mitigation.

关键词： La Nina ocean heat ocean warming attribution observation

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环境-声场不确定性传递过程中代理建模方法

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水下无人系统学报 2018年第5期26卷 403-408页

作者：刘宗伟吕连港杨春梅姜莹于晓林黄龙飞国家海洋局第一海洋研究所山东青岛266061 青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室山东青岛266237 海洋环境科学与数值模拟国家海洋局重点实验室山东青岛266061

海洋环境参数的不确定性是声场预报不确定性的主要来源之一。海洋环境参数和声场之间通常具有非常强的非线性关系,导致通过海洋环境参数的不确定性来计算声场的不确定性较为困难。传统使用的蒙特卡罗方法,需要多次运行声场计算模型,导... 详细信息

海洋环境参数的不确定性是声场预报不确定性的主要来源之一。海洋环境参数和声场之间通常具有非常强的非线性关系,导致通过海洋环境参数的不确定性来计算声场的不确定性较为困难。传统使用的蒙特卡罗方法,需要多次运行声场计算模型,导致计算量过大。针对此,文中提出了一种新的基于多项式-克里金方法(PC-Kriging)的代理建模方法,可以高效地计算海洋环境参数至声场之间的不确定性传递过程。该方法使用多项式方法来提取系统响应的全局趋势,使用克里金方法逼近局地响应。同时,基于标准失配测试模型进行了计算机仿真,从模型逼近精度以及传播损失概率密度函数(PDF)2.方面进行验证。结果表明:PC-Kriging代理建模方法在逼近精度上优于单独使用多项式或者克里金方法,传播损失PDF也与蒙特卡罗方法结果吻合得较好,适合用于环境-声场不确定性传递过程计算。

关键词：水下声场预报环境-声场不确定性传递代理建模多项式-克里金方法标准失配测试模型

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Development of Climate and Earth System Models in china: Past Achievements and New CMIP6 Results

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Journal of Meteorological Research 2020年第1期34卷 1-19页

作者： Tianjun ZHOU Ziming CHEN Liwei ZOU Xiaolong CHEN Yongqiang yu Bin WANG Qing BAO Ying BAO Jian CAO Bian HE Shuai HU Lijuan LI Jian LI Yanluan LIN Libin MA Fangli QIAO Xinyao RONG Zhenya SONG Yanli TANG Bo WU Tongwen WU Xiaoge XIN He ZHANG Minghua ZHANG state key {2. of numerical modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029 College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049 first institute of {2. Ministry of Natural ResourcesQingdao 266061 School of Atmospheric Science Nanjing University of Information Science&TechnologyNanjing 210044 Chinese Academy of Meteorological Sciences China Meteorological AdministrationBeijing 100081 Tsinghua University Beijing 100084 National Climate Center China Meteorological AdministrationBeijing 100081 International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029

The Earth–Climate System Model(ECSM)is an important platform for multi-disciplinary and multi-sphere integration research,and its development is at the frontier of international geosciences,especially in the field of global *** research and development(R&D)of ECSM in china began in the 1980 s and have achieved great *** china,ECSMs are now mainly developed at the Chinese Academy of Sciences,ministries,and *** a brief review of the development history of Chinese ECSMs,this paper summarized the technical characteristics of nine Chinese ECSMs participating in the Coupled Model Intercomparison Project Phase 6 and preliminarily assessed the basic performances of four Chinese models in simulating the global climate and the climate in East *** projected changes of global precipitation and surface air temperature and the associated relationship with the equilibrium climate sensitivity under four shared socioeconomic path scenarios were also ***,combined with the international situation,from the perspective of further improvement,eight directions were proposed for the future development of Chinese ECSMs.

关键词： Earth–Climate System Model(ECSM) Chinese models Coupled Model Intercomparison Project Phase 6(CMIP6) model performance climate prediction and projection outlook

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海底滑坡海啸的颗粒流耦合模型

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岩土力学 2018年第9期39卷 3469-3476页

作者：孙永福黄波林宋玉鹏赵永波国家海洋局第一海洋研究所山东青岛266061 三峡大学防灾减灾湖北省重点实验室湖北宜昌433002 武汉地质调查中心湖北武汉430205

海底滑坡的运动可能引发海啸,破坏离岸设施,威胁海岸带安全。国内外关于海底滑坡引发海啸的研究方兴未艾。采用Mih颗粒流模型控制具弱黏聚力的砂土滑坡运动,利用两相流模型计算岩土体-水体相互作用及RNG湍流模型控制水体运动,构建了基... 详细信息

海底滑坡的运动可能引发海啸,破坏离岸设施,威胁海岸带安全。国内外关于海底滑坡引发海啸的研究方兴未艾。采用Mih颗粒流模型控制具弱黏聚力的砂土滑坡运动,利用两相流模型计算岩土体-水体相互作用及RNG湍流模型控制水体运动,构建了基于颗粒流模型的海底滑坡海啸全耦合数值分析方法。通过简单水槽水下滑坡案例进行了海底滑坡海啸全过程研究。数值分析再现了变形滑体的不均一运动、密度分异流动、水滑机制和以波谷为典型特征的涌浪波等典型海底滑坡及海啸现象,这表明数值模型具有有效性。许多海域(包括中国南海北部)都存在弱黏聚力和无黏聚力的水下滑坡,该数值方法值得推广和进一步研究完善。

关键词：颗粒流方程耦合模型可变形海底滑坡海啸水滑机制

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岛屿环流理论发展回顾及展望

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海洋科学 2018年第8期42卷 122-130页

作者：王新怡孙宝楠王立伟连展国家海洋局第一海洋研究所山东青岛266061 海洋环境科学和数值模拟国家海洋局重点实验室山东青岛266061 青岛海洋科学与技术国家实验室区域海洋动力学和数值模拟功能实验室山东青岛266061

为了寻找岛屿环流理论进一步发展的突破口,使其在长期气候变化背景下海洋的响应以及深海环流等海洋领域前沿研究方向中继续起到指导作用,首先回顾了岛屿环流理论的发展过程,对其重要的发展里程碑和实际应用进行了系统梳理。同时,对岛屿... 详细信息

为了寻找岛屿环流理论进一步发展的突破口,使其在长期气候变化背景下海洋的响应以及深海环流等海洋领域前沿研究方向中继续起到指导作用,首先回顾了岛屿环流理论的发展过程,对其重要的发展里程碑和实际应用进行了系统梳理。同时,对岛屿环流理论未来进一步丰富发展的重点方向进行了展望。分析结果显示,该理论仍存在深入发掘的潜力,可在积分路径设计、时间变化项的影响和地形及斜压效应的影响等多方面进行细节修正和补充,拓展其应用的时间和空间尺度。

关键词：岛屿环流理论积分路径设计时间变化项地形和斜压效应

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