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第一届中国大地测量和地球物理学学术大会

作者： Fei Zheng Jianping Li Robin T. Clark Ruiqing Ding Fei Li Lei Wang State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics College of Global Change and Earth System Science Beijing Normal University Beijing China State K Hadley Centre Met Office Exeter United Kingdom State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of At School of Physics Peking University Beijing 100871 China Key Laboratory of Research on Marine Ha

Previous evidences showed that the boreal spring Southern Annular Mode (SAM) regulates summer monsoon precipitation in East Asian subtropics through the Northern Indian Ocean SST (NIOSST).This paper further demonstrates that a positive (negative) boreal spring SAM is usually followed by a warmer (cooler) summer over northeast China (NEC),suggesting impacts of the SAM even extend to the northern mid-latitudes.A positive spring SAM usually leads to an anomalous anticyclone and sinking motion over NEC during summer though the NIOSST,which results in less cloudiness and changes in radiations,and thus warming surface air temperature.

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A new era of China-Germany joint research exploring the climate mystery of earth

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Science Bulletin 2019年第23期64卷 1733-1736页

作者： Tianjun Zhou Jung Luterbacher Shaohong Wu Chao Li Qingchen Chao Xiao Cheng Yihong Duan Jian Li Bjorn Stevens Sebastian Voigt Yuanhang Zhang Xunhua Zheng Liwei Zou State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing 100101China Department of Geography ClimatologyClimate Dynamics and Climate ChangeJustus-Liebig University of GiessenGiessen 35390Germany Centre for International Development and Environmental Research University of GiessenGiessen 35390Germany Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China Max Planck Institute for Meteorology Hamburg 20146Germany Beijing Climate Center China Meteorology AdministrationBeijing 100081China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China Chinese Academy of Meteorological Sciences China Meteorological AdministrationBeijing 100081China Centre for European Economic Research Mannheim 68161Germany College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

China and Germany have a long history of collaborating in the earth sciences. One example is the collaborative work in plumbing the mysteries of climate in China. German geographer Prof. Dr. Ferdinand von Richthofen led the first scientific expedition of the Loess Plateau and Lop Nur during the 1870s. The expedition established the theory of the eolian origin of the plateau. The term"Silk Road"("die Seidenstrasse" in German) was also coined by Prof.

关键词： China. earth climate

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气候变化情景下中国因高温造成的劳动生产力损失预估

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Science Bulletin 2023年第22期68卷 2827-2837,M0006页

作者：程亮亮谷魁英赵亮王会滨纪思翰刘钊黄建斌陈艺丹高学杰徐影王灿罗勇蔡闻佳宫鹏梁万年黄存瑞 School of Public Health Sun Yat-sen UniversityGuangzhou 510080China Vanke School of Public Health Tsinghua UniversityBeijing 100084China State Key Laboratory of Numerical Modelling for Atmosphere Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China School of Linkong Economics and Management Beijing Institute of Economics and ManagementBeijing 100102China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100190China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100084China Climate Change Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China National Climate Centre China Meteorological AdministrationBeijing 100081China Department of Earth System Science Ministry of Education Key Laboratory for Earth System ModelingInstitute for Global Change StudiesTsinghua UniversityBeijing 100084China Department of Earth Sciences and Department of Geography University of Hong KongHong Kong 999077China Institute of Healthy Chin1 Tsinghua UniversityBeijing 100084China

气候变化背景下,高温会影响职业人群的工作效率并造成劳动生产力损失.本研究基于区域气候模式并采用本土化的暴露-反应函数,预估了未来气候变化情景下中国因高温造成的劳动时间损失.研究发现,与基线期的213亿小时高温相关劳动时间损失相... 详细信息

气候变化背景下,高温会影响职业人群的工作效率并造成劳动生产力损失.本研究基于区域气候模式并采用本土化的暴露-反应函数,预估了未来气候变化情景下中国因高温造成的劳动时间损失.研究发现,与基线期的213亿小时高温相关劳动时间损失相比,到21世纪末在RCP2.6、RCP4.5和RCP8.5情景下,损失将分别增加-17.8%、10.8%及121.1%.损失主要集中在华南、华中和华东地区,其中广东与河南将占到全国总损失的四分之一.因为这些区域的温度将更高、人口更密集、户外工作者在总人群中的比例较大.与RCP2.6、RCP4.5和RCP8.5情景相比,若能实现1.5℃温控目标,将分别能够避免11.8%、33.7%和53.9%的劳动时间损失,相当于避免了全中国21世纪中叶的0.1%、0.6%及1.4%的年均GDP损失.本研究显示未来气候变化会给中国造成严重的热相关劳动生产力损失,并强调亟需采取因地制宜的气候减缓及适应策略以保护职业人群健康.本研究对其他与中国相似的发展中国家同样具有重要意义.

关键词： Climate change Heat stress Labor Work hours lost Occupational health

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Global Monsoon Dynamics and Climate Change

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earth and Planetary Sciences 1000年第1期43卷 29-77页

作者： An Zhisheng Wu Guoxiong Li Jianping Sun Youbin Liu Yimin Zhou Weijian Cai Yanjun Duan Anmin Li Li Mao Jiangyu Cheng Hai Shi Zhengguo Tan Liangcheng Yan Hong Ao Hong Chang Hong Feng Juan 3Institute of Global Environment Change Xi'an Jiaotong University Xi'an 710049 China 1State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi'an 710075 China email: anzs@*** 2State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics (IAP) Chinese Academy of Sciences Beijing 100029 China 4College of Global Change and Earth System Science (GCESS) Beijing Normal University and Joint Center for Global Change Studies Beijing 100875 China email: ljp@*** 5Department of Earth Sciences University of Minnesota Minneapolis Minnesota 55455

This article provides a comprehensive review of the global monsoon that encompasses findings from studies of both modern monsoons and paleomonsoons. We introduce a definition for the global monsoon that incorporates its three-dimensional distribution and ultimate causes, emphasizing the direct drive of seasonal pressure system changes on monsoon circulation and depicting the intensity in terms of both circulation and precipitation. We explore the global monsoon climate changes across a wide range of timescales from tectonic to intraseasonal. Common features of the global monsoon are global homogeneity, regional diversity, seasonality, quasi-periodicity, irregularity, instability, and asynchroneity. We emphasize the importance of solar insolation, earth orbital parameters, underlying surface properties, and land-air-sea interactions for global monsoon dynamics. We discuss the primary driving force of monsoon variability on each timescale and the relationships among dynamics on multiple timescales. Natural processes and anthropogenic impacts are of great significance to the understanding of future global monsoon behavior.

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Spatiotemporal variation of mortality burden attributable to heatwaves in China,1979–2020

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Science Bulletin 2022年第13期67卷 1340-1344,M0004页

作者： Huiqi Chen Liang Zhao Wei Dong Liangliang Cheng Wenjia Cai Jun Yang Junzhe Bao Xin-Zhong Liang Shakoor Hajat Peng Gong Wannian Liang Cunrui Huang School of Public Health Sun Yat-sen UniversityGuangzhou 510080China Shanghai Key Laboratory of Meteorology and Health Shanghai Meteorological ServiceShanghai 200030China The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Meteorological Disaster Ministry of Education&Joint International Research Laboratory of Climate and Environment Change&Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China Department of Earth System Science Tsinghua UniversityBeijing 100084China Institute for Environmental and Climate Research Jinan UniversityGuangzhou 510632China School of Public Health Zhengzhou UniversityZhengzhou 450001China Earth System Science Interdisciplinary Center&Department of Atmospheric and Oceanic Science University of MarylandCollege Park MD 20742USA Department of Epidemiology and Population Health London School of Hygiene and Tropical MedicineLondon WC1E 7HTUK Department of Earth Sciences the University of Hong KongHong Kong 999077China Vanke School of Public Health Tsinghua UniversityBeijing 100084China Institute of Healthy China Tsinghua UniversityBeijing 100084China

热浪通过增加死亡和发病风险导致巨大的公共卫生负担.而在气候变暖与社会经济发展相交织的风险下,中国人群所面临的热浪导致的健康负担的时间演变规律、空间分布特征及其驱动因素仍然存在大量空白.本研究应用基于事件的归因损失评估方... 详细信息

热浪通过增加死亡和发病风险导致巨大的公共卫生负担.而在气候变暖与社会经济发展相交织的风险下,中国人群所面临的热浪导致的健康负担的时间演变规律、空间分布特征及其驱动因素仍然存在大量空白.本研究应用基于事件的归因损失评估方法定量评估了过去40年格点水平的每日热浪归因死亡人数.研究发现,热浪相关死亡人数具有快速增长、非线性和极端性的特征,40年间增加了4倍,2010年代年均归因死亡人数达15500人.归因死亡负担还呈现强烈的区域异质性,华东和华中地区负担更重.随着时间的推移,中国可归因死亡人数上升的主要影响因素是增加的热浪发生频率,其次是人口增长和老龄化.这项工作为民众提供了更为直观的高温健康危害信息,同时为制定有针对性的气候变化适应措施提供重要信息.

关键词：社会经济发展气候变化适应区域异质性死亡人数损失评估公共卫生极端性发病风险

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Simulation of the QBO in IAP-AGCM:Analysis of momentum budget

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Atmospheric and Oceanic Science Letters 2021年第3期14卷 1-6页

作者： Zhaoyang Chai Minghua Zhang Qingcun Zeng Jinbo Xie Ting You He Zhang International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina College of Earth and Planetary Science University of Chinese Academy of SciencesBeijingChina School of Marine and Atmospheric Sciences State University of New York at Stony BrookNYUSA State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

The quasi-biennial oscillation(QBO),a dominant mode of the equatorial stratospheric(~100–1 hPa)variability,is known to impact tropospheric circulation in the middle and high ***,its realistic simulation in general circulation models remains a *** authors examine the simulated QBO in the 69-layer version of the Institute of Atmospheric Physics Atmospheric General Circulation Model(IAP-AGCML69)and analyze its momentum *** authors find that the QBO is primarily caused by parameterized gravity-wave forcing due to tropospheric convection,but the downward propagation of the momentum source is significantly offset by the upward advection of zonal wind by the equatorial upwelling in the ***-scale waves act as a positive contribution to the total zonal wind tendency of the QBO over the equator with comparable magnitude to the gravity-wave forcing in the upper *** provide insights into the mechanism of the QBO and possible causes of differences in models.

关键词： QBO Gravity waves Momentum budget Zonal wind

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DRUM: Diffusion-based runoff model for probabilistic flood forecasting

arXiv

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arXiv 2024年

作者： Ou, Zhigang Nai, Congyi Pan, Baoxiang Pan, Ming Shen, Chaopeng Jiang, Peishi Liu, Xingcai Tang, Qiuhong Li, Wenqing Zheng, Yi School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Science Beijing China Scripps Institution of Oceanography University of California La Jolla San DiegoCA United States Civil and Environmental Engineering The Pennsylvania State University University ParkPA United States Atmospheric Climate and Earth Sciences Division Pacific Northwest National Laboratory RichlandWA United States Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China State Key Laboratory of Stimulation and Regulation of Water Cycles in River Basins China Institute of Water Resources and Hydropower Research Beijing China

Reliable flood forecasting remains a critical challenge due to persistent underestimation of peak flows and inadequate uncertainty quantification in current approaches. We present DRUM (Diffusion-based Runoff Model), a generative AI solution for probabilistic runoff prediction. DRUM builds up an iterative refinement process that generates ensemble runoff estimates from noise, guided by past meteorological conditions, present meteorological forecasts, and static catchment attributes. This framework allows learning complex hydrological behaviors without imposing explicit distributional assumptions, particularly benefiting extreme event prediction and uncertainty quantification. Using data from 531 representative basins across the contiguous United States, DRUM outperforms state-of-the-art deep learning methods in runoff forecasting regarding both deterministic and probabilistic skills, with particular advantages in extreme flow (1%) predictions. DRUM demonstrates superior flood early warning skill across all magnitudes and lead times (1–7 days), achieving F1 scores near 0.4 for extreme events under perfect forecasts and maintaining robust performance with operational forecasts, especially for longer lead times and high-magnitude floods. When applied to climate projections through the 21st century, DRUM reveals increasing flood vulnerability in 47.8–57.1% of basins across emission scenarios, with particularly elevated risks along the West Coast and Southeast regions. These advances demonstrate significant potential for improving both operational flood forecasting and long-term risk assessment in a changing climate. © 2024, CC BY-NC-SA.

关键词： Floods

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南大洋增暖及其气候影响

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Science Bulletin 2023年第9期68卷 946-960,M0004页

作者：蔡文炬高立宝罗义勇李熙晨郑小童张学斌程旭华贾凡 Ariaan Purich Agus Santoso 杜岩 David MHolland 石佳睿项宝强谢尚平 Frontiers Science Center for Deep Ocean Multispheres and Earth System and Key Laboratory of Physical Oceanography Ocean University of ChinaQingdao 266100China Laboratory for Ocean and Climate Dynamics Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China Center for Southern Hemisphere Oceans Research Commonwealth Scientific and Industrial Research Organisation(CSIRO)Oceans and AtmosphereHobart 7004Australia First Institute of Oceanography and Key Laboratory of Marine Science and Numerical Modeling Ministry of Natural ResourcesQingdao 266061China Laboratory for Regional Oceanography and Numerical Modeling Pilot National Laboratory for Marine Science and TechnologyQingdao 266237China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China College of Oceanography Hohai UniversityNanjing 210098China Key Laboratory of Ocean Circulation and Waves Institute of OceanologyChinese Academy of SciencesQingdao 266071China Climate Change Research Centre University of New South WalesSydney 2052Australia Australian Research Council Centre of Excellence for Climate Extremes University of New South WalesSydney 2052Australia State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Southern Marine Science and Engineering Guangdong Laboratory Guangzhou 511458China Courant Institute of Mathematical Sciences New York UniversityNew York NY 10012USA Woods Hole Oceanographic Institution Woods Hole MA 02543USA NOAA/Geophysical Fluid Dynamics Laboratory Princeton NJ 08540USA University Corporation for Atmospheric Research Boulder CO 80307USA Scripps Institution of Oceanography University of California San DiegoLa Jolla CA 92093USA

过去几十年南大洋在南极平流层臭氧消耗和大气二氧化碳浓度增加的共同作用下大幅增暖,显著影响着南极冰架和冰盖的融化、海平面上升、南北半球的降水分配以及热带海洋和大气环流等,引发了深远的气候效应.全球变暖背景下南大洋西风表现... 详细信息

过去几十年南大洋在南极平流层臭氧消耗和大气二氧化碳浓度增加的共同作用下大幅增暖,显著影响着南极冰架和冰盖的融化、海平面上升、南北半球的降水分配以及热带海洋和大气环流等,引发了深远的气候效应.全球变暖背景下南大洋西风表现为极向加强,同时进入南大洋的热辐射和淡水通量持续增加,由此上翻的海水可吸收更多的热量和碳,经由更强的平均流向北输送,更多地在45°S附近海域下沉并存储.当前对南大洋增暖背后诸多复杂的物理过程仍缺乏足够的理解,比如来自冰架、冰盖及海洋涡旋的作用、热带-极地相互作用、南大洋本身对全球变暖的响应等,尤其是有限的观测数据和较低分辨率的模式无法准确呈现快速变化的物理现象和机理.因此,南大洋的未来增暖存在很大的不确定性且可能长期持续,但近期的进展为深入认知南大洋增暖及其气候影响奠定了坚实的基础.

关键词：平流层臭氧南大洋物理现象物理过程全球变暖热带海洋南北半球低分辨率

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Observation and modeling of vertical carbon dioxide distribution in a heavily polluted suburban environment

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Atmospheric and Oceanic Science Letters 2020年第4期13卷 371-379页

作者： BAO Zhongxiu HAN Pengfei ZENG Ning LIU Di CAI Qixiang WANG Yinghong TANG Guiqian ZHENG Ke YAO Bo College of Atmospheric Sciences Chengdu University of Information TechnologyChengduChina State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina Department of Atmospheric and Oceanic Science and Earth System Science Interdisciplinary CenterUniversity of MarylandCollege ParkMarylandUSA State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina School of Atmospheric Physics Nanjing University of Information Science and TechnologyNanjingChina Meteorological Observation Centre of China Meteorological Administration BeijingChina

The vertical distribution of carbon dioxide(CO2)is important for the calibration and validation of transport models and remote sensing *** to the large mass and volume of traditional instruments as well as supporting systems,in-situ measurements of the CO2 vertical profile within the boundary layer are *** study used a miniaturized CO2 monitoring instrument based on a low-cost non-dispersive infrared(NDIR)sensor to measure the CO2 vertical profile and meteorological parameters of the lower troposphere(0–1000 m)in southwestern Shijiazhuang,Hebei Province,*** sensors were onboard a tethered balloon with two processes:the ascending process and the descending *** results showed that the overall trend of CO2 concentration decreased with *** conditions and CO2 emission sources caused fluctuations in CO2 *** CO2 concentration varied from morning to afternoon due mainly to the faster spread of air mass during daytime,with strong convections and the accumulation of emissions at *** low-cost sensor produced results consistent with the traditional gas chromatography *** Weather Research and Forecasting model could not capture the CO2 profiles well due mainly to the bad performances in boundary layer height and the potential outdated fossil fuel emissions around the experimental *** experiment is the first successful attempt to observe the CO2 vertical distribution in the lower troposphere by using lowcost NDIR *** results help us to understand the vertical structure of CO2 in the boundary layer,and provide data for calibrating and validating transport models.

关键词： Low cost sensor co2 vertical profile tethered balloon meteorological conditions non-dispersive infrared(NDIR)

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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

ISBN: (数字)9781450384421

ISBN: (纸本)9781665483902

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 potential function based on the Tersoff potential and inter-layer potential (ILP) in LAMMPS. LMFF is designed to study layered materials such as graphene and boron hexanitride. It is universal and does not depend on any platform. We have also carried out a series of optimizations on LMFF and the optimization work is carried out on the new generation of Sunway supercomputer, called SWLMFF. Experiments show that our implementation is efficient, scalable and portable. When generic LMFF is ported to Intel Xeon Gold 6278C, $2\times$ performance improvement is achieved. For the optimized SWLMFF, the overall performance improvement is nearly $200-330\times$ compared to the original ILP and Tersoff potentials. And SWLMFF has good parallel efficiency of 95%-100% under weak scaling with 2.7 million atoms on a single process. The maximum atomic system simulated by SWLMFF is close to $2^{31}$ atoms. And nanosecond simulations in one day can be realized.

关键词： Program processors Atomic layer deposition High performance computing Force Graphene Supercomputers Optimization

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