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检索条件"机构=National Key Laboratory of Earth System Numerical Modeling and Application"
88 条 记 录,以下是61-70 订阅
排序:
Deep learning-based reconstruction of monthly Antarctic surface air temperatures from 1979 to 2023
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Scientific data 2025年 第1期12卷 847页
作者: Ziqi Ma Jianbin Huang Xiangdong Zhang Yong Luo Tingfeng Dou Minghu Ding School of Atmospheric Sciences Sun Yat-sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhuhai 519082 China. Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of Sciences Beijing 101408 China. jbh@***. College of Resources and Environment University of Chinese Academy of Sciences Beijing 101408 China. jbh@***. NOAA CISESS North Carolina State University Asheville NC 28801 USA. Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing 100084 China. State Key Laboratory of Cryosphere Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou Gansu 730000 China. College of Resources and Environment University of Chinese Academy of Sciences Beijing 101408 China. Key Laboratory of Earth System Numerical Modeling and Application Chinese Academy of Sciences Beijing 100864 China. State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing 100081 China.
Gridded surface air temperature (SAT) data for Antarctica is a crucial foundation for studying climate change in the region. However, significant discrepancies exist between the available Antarctic gridded temperature...
来源: 评论
Revisiting Unstable ENSO Teleconnections From a Global Perspective
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Journal of Geophysical Research: Atmospheres 2025年 第10期130卷
作者: Jiapeng Miao Xian Wu Dabang Jiang Xiangzhou Song Tao Wang Xinping Xu Observation and Research Station of Air-Sea Interface Ministry of Natural Resources Hohai University Nanjing China Key Laboratory of Meteorological Disaster (KLME) Ministry of Education & Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC–FEMD) Nanjing University of Information Science & Technology Nanjing China Department of Sustainable Earth Systems Sciences The University of Texas at Dallas Richardson Texas USA State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Atmospheric Sciences Nanjing University Nanjing China
The impacts of El Niño-Southern Oscillation (ENSO) on regional climate may vary from decade to decade. Here, we quantify these unstable ENSO impacts on a global scale by calculating the range of possible correlat...
来源: 评论
Is the atmospheric river operating at a self-organized criticality state?
arXiv
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arXiv 2025年
作者: Wang, Shang Meng, Jun Fang, Sheng Liu, Teng Christensen, Kim Kurths, Jürgen Fan, Jingfang School of Systems Science Institute of Nonequilibrium Systems Beijing Normal University Beijing100875 China Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China Earth System Modelling School of Engineering and Design Technical University of Munich Munich85748 Germany Potsdam Institute for Climate Impact Research Potsdam14412 Germany Blackett Laboratory Centre for Complexity Science Imperial College London South Kensington Campus LondonSW7 2AZ United Kingdom Department of Physics Humboldt University Berlin10099 Germany
Atmospheric rivers (ARs) are essential components of the global hydrological cycle, with profound implications for water resources, extreme weather events, and climate dynamics. Yet, the statistical organization and u... 详细信息
来源: 评论
CONDITIONAL NONLINEAR OPTIMAL PERTURBATIONS: application IN TROPICAL CYCLONE FORECASTS
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Journal of Tropical Meteorology 2019年 第4期25卷 421-436页
作者: TIAN Hong-jun LI Ze-chun WANG Dong-liang WANG Bin Nanjing University of Information Science and Technology Nanjing 210044 China Shanghai Central Meteorological Observatory Shanghai 200030 China National Meteorological Centre Beijing 100081 China Shanghai Typhoon Institute CMAShanghai 200030 China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of ScienceBeijing 100029 China Ministry of Education Key Laboratory for Earth System Modeling Tsinghua UniversityBeijing 100084 China
Considering the feature of tropical cyclones(TCs) that strong positive vorticity exists in the lower layers of troposphere, this study proposed to use vorticity at 850 hPa as cost function to find the conditional nonl... 详细信息
来源: 评论
Regime shift to extensive valley glaciations over High Mountain Asia during the Early-Middle Pleistocene
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Nature Communications 2025年 第1期16卷 1-12页
作者: Qing Yan Xiaohan Kong Jinzhe Zhang Lewis A. Owen Ting Wei Philip D. Hughes Nanxuan Jiang Zhongshi Zhang Huijun Wang State Key Laboratory of Earth System Numerical Modeling and Application/Nansen-Zhu International Research Centre Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Department of Marine Earth and Atmospheric Science North Carolina State University Raleigh NC USA State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing China Department of Geography School of Environment Education and Development University of Manchester Manchester UK Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Department of Atmospheric and Oceanic Sciences School of Physics Peking University Beijing China State Key Laboratory of Climate System Prediction and Risk Management Nanjing University of Information Science and Technology Nanjing China Key Laboratory of Meteorological Disaster/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China
In contrast to the well-established onset of Northern Hemisphere high-latitude glaciation at ~2.7 Ma, the timing and drivers of the intensified glaciation over High Mountain Asia (HMA) remain elusive, as glacial geolo...
来源: 评论
CODC-S: A quality-controlled global ocean salinity profiles dataset
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Scientific data 2025年 第1期12卷 917页
作者: Zhetao Tan Yujing Zhu Lijing Cheng Viktor Gouretski Yuying Pan Huifeng Yuan Zhankun Wang Guancheng Li Xinyi Song Bin Zhang Senliang Bao Yuanlong Li Jiang Zhu State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China. Laboratoire de Météorologie Dynamique Institut Pierre Simon Laplace Ecole Normale Supérieure - Université PSL Paris 75231 France. University of Chinese Academy of Sciences Beijing 100049 China. State Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China. chenglij@***. University of Chinese Academy of Sciences Beijing 100049 China. chenglij@***. Computer Network Information Center Chinese Academy of Sciences Beijing 100039 China. NOAA National Centers for Environmental Information Silver Spring MD 20910 USA. Eco-Environmental Monitoring and Research Center Pearl River Valley and South China Sea Ecology and Environment Administration Ministry of Ecology and Environment Guangzhou 510611 China. Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China. Oceanographic Data Center Chinese Academy of Sciences Qingdao 266071 China. College of Meteorology and Oceanography National University of Defense Technology Changsha 410073 China.
Changes in the global ocean salinity reflect the evolution of the global hydrological cycle. These secular changes are assessed using seawater salinity profiles obtained during the past ~80 years. Here, we introduce a...
来源: 评论
Towards reliable Arctic sea ice prediction using multivariate data assimilation
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Science Bulletin 2019年 第1期64卷 63-72页
作者: Jiping Liu Zhiqiang Chen Yongyun Hu Yuanyuan Zhang Yifan Ding Xiao Cheng Qinghua Yang Lars Nerger Gunnar Spreen Radley Horton Jun Inoue Chaoyuan Yang Ming Li Mirong Song Department of Atmospheric and Environmental Sciences University at Albany State University of New York College of Ocean and Meteorology Guangdong Ocean University Department of Atmospheric and Oceanic Sciences School of Physics Peking University College of Global Change and Earth System Science Beijing Normal University Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies and School of Atmospheric Sciences Sun Yat-sen University Alfred-Wegener-Institut Helmholtz Zentrum für Polar-und Meeresforschung University of Bremen Institute of Environmental Physics Lamont-Doherty Earth Observatory Columbia University Earth Institute National Institute of Polar Research Polar Research and Forecasting Division National Marine Environmental Forecasting Center State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences
Rapid declines in Arctic sea ice have captured attention and pose significant challenges to a variety of stakeholders. There is a rising demand for Arctic sea ice prediction at daily to seasonal time scales, which is ... 详细信息
来源: 评论
Estimating the Predictability Limit of Tropical Cyclone Tracks over the Western North Pacific Using Observational Data
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Advances in Atmospheric Sciences 2018年 第12期35卷 1491-1504页
作者: Quanjia ZHONG Lifeng ZHANG Jianping LI Ruiqiang DING Jie FENG State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences College of Meteorology and Oceanography National University of Defense Technology College of Earth Science University of Chinese Academy of Sciences Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology College of Global Change and Earth System Sciences Beijing Normal University School of Meteorology University of Oklahoma
In this study,the nonlinear local Lyapunov exponent(NLLE)approach was used to quantitatively determine the predictability limit of tropical cyclone(TC)tracks based on observed TC track data obtained from the Joint Typ... 详细信息
来源: 评论
lMFF: Efficient and Scalable layered Materials Force Field on Heterogeneous Many-Core Processors
lMFF: Efficient and Scalable layered Materials Force Field o...
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Supercomputing Conference
作者: Ping Gao Xiaohui Duan Jiaxu Guo Jin Wang Zhenya Song Lizhen Cui Xiangxu Meng Xin Liu Wusheng Zhang Ming Ma Guohui Li Dexun Chen Haohuan Fu Wei Xue Weiguo Liu Guangwen Yang School of Software Shandong University Jinan China National Supercomputing Center in Wuxi Wuxi China Department of Computer Science and Technology Tsinghua University Beijing China College of Computer Science and Technology Jilin University Changchun China Department of Engineering Mechanics Center for Nano and Micro Mechanics Tsinghua University Beijing China Ministry of Natural Resources First Institute of Oceanography and Key Laboratory of Marine Science and Numerical Modeling Qingdao China Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR) Jinan China Engineering Research Center of Digital Media Technology Ministry of Education Jinan China Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian China Department of Earth System Science Ministry of Education Key Lab for Earth System Modeling Tsinghua University Beijing China
LAMMPS is one of the most popular Molecular Dynamic (MD) packages and is widely used in the field of physics, chemistry and materials simulation. Layered Materials Force Field (LMFF) is our expansion of the LAMMPS pot... 详细信息
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Dominant SST Mode in the Southern Hemisphere Extratropics and Its Influence on Atmospheric Circulation
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Advances in Atmospheric Sciences 2018年 第7期35卷 881-895页
作者: Fei ZHENG Jianping LI Fred KUCHARSKI Ruiqiang DING Ting LIU State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences State Key Laboratory of Earth Surface Processes and Resource Ecology and College of Global Change and Earth System Science Beijing Normal University Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology Earth System Physics Section Abdus Salam International Centre for Theoretical Physics Center of Excellence for Climate Change Research Department of MeteorologyKing Abdulaziz University Plateau Atmosphere and Environment Key Laboratory of Sichuan Province Chengdu University of Information Technology State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography
The variability in the Southern Ocean(SO) sea surface temperature(SST) has drawn increased attention due to its unique physical features; therefore, the temporal characteristics of the SO SST anomalies(SSTA) and... 详细信息
来源: 评论