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Simulation of sea surface temperature changes in the Middle Pliocene warm period and comparison with reconstructions

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Chinese Science Bulletin 2011年第9期56卷 890-899页

作者： YAN Qing ZHANG ZhongShi WANG HuiJun JIANG DaBang zheng weipeng Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Graduate University of Chinese Academy of Sciences Beijing 100049China Bjerknes Centre for Climate Research UniResearchBergen N-5007Norway Climate Change Research Center Chinese Academy of SciencesBeijing 100029China Key Laboratory of Regional Climate-Environment Research for Temperate East Asia Chinese Academy of SciencesBeijing 100029China National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

The Middle Pliocene (ca 3.12–2.97 Ma) is a recent warm period in the Earth’s history. In many respects, the warmth of the Middle Pliocene is similar to the probable warm situation of the late 21st century predicted by climate models. Understanding the Middle Pliocene climate is important in predicting the future climate with global warming. Here, we used the latest reconstructions for the Middle Pliocene—Pliocene Research Interpretation and Synoptic Mapping (PRISM) version 3—to simulate the Middle Pliocene climate with a fully coupled model Fast Ocean Atmosphere Model. From comparison of the results of simulations with reconstructions, we considered two important scientific topics of Middle Pliocene climate modeling: extreme warming in the subpolar North Atlantic and a permanent El Ni?o in the tropical Pacific. Our simulations illustrate that the global annual mean sea surface temperature (SST) in the Middle Pliocene was about 2.3°C higher than that in the pre-industrial era. The warming was stronger at midand high latitudes than at low latitudes. The simulated SST changes agree with SST reconstructions in PRISM3 data, especially for the North Atlantic, North Pacific and west coast of South America. However, there were still discrepancies between the simulation of the SST and reconstructions for the subpolar North Atlantic and tropical Pacific. In the case of the Atlantic, the weakened meridional overturning circulation in the simulation did not support the reconstruction of the extremely warm condition in the subpolar North Atlantic. In the case of the tropical Pacific, the whole ocean warmed, especially the eastern tropical Pacific, which did not support the permanent El Ni?o suggested by the reconstruction. From evaluation of the modeling and reconstruction, we suggest that the above discrepancies were due to uncertainties in reconstructions, difficulties in paleoclimate modeling and deficiencies of climate models. The discrepancies should be reduced through cons

关键词：上新世中东温度变化未来气候变化热带太平洋气候模拟北大西洋仿真

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CAS FGOALS-f3-H Dataset for the High-Resolution Model Intercomparison Project(HighResMIP)Tier 2

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Advances in Atmospheric Sciences 2022年第11期39卷 1873-1884页

作者： Bo AN Yongqiang YU Qing BAO Bian HE Jinxiao LI Yihua LUAN Kangjun CHEN weipeng zheng State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China

Following the High-Resolution Model Intercomparison Project(HighResMIP)Tier 2 protocol under the Coupled Model Intercomparison Project Phase 6(CMIP6),three numerical experiments are conducted with the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System Model,version f3-H(CAS FGOALS-f3-H),and a 101-year(1950–2050)global high-resolution simulation dataset is presented in this *** basic configuration of the FGOALSf3-H model and numerical experiments design are briefly described,and then the historical simulation is *** by observed radiative agents from 1950 to 2014,the coupled model essentially reproduces the observed long-term trends of temperature,precipitation,and sea ice extent,as well as the large-scale pattern of temperature and *** an approximate 0.25°horizontal resolution in the atmosphere and 0.1°in the ocean,the coupled models also simulate energetic western boundary currents and the Antarctic Circulation Current(ACC),reasonable characteristics of extreme precipitation,and realistic frontal scale air-sea *** dataset and supporting detailed information have been published in the Earth System Grid Federation.

关键词： HighResMIP FGOALS-f3-H coupled model data description CMIP6

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The Predictability Limit of Oceanic Mesoscale Eddy Tracks in the South China Sea

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Advances in Atmospheric Sciences 2024年第9期41卷 1661-1679页

作者： Hailong LIU Pingxiang CHU Yao MENG Mengrong DING Pengfei LIN Ruiqiang DING Pengfei WANG weipeng zheng LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Laoshan Laboratory Qingdao 266237China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316022China State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal UniversityBeijing 100872China Center for Monsoon System Research(CMSR) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100190China

Employing the nonlinear local Lyapunov exponent (NLLE) technique, this study assesses the quantitative predictability limit of oceanic mesoscale eddy (OME) tracks utilizing three eddy datasets for both annual and seasonal means. Our findings reveal a discernible predictability limit of approximately 39 days for cyclonic eddies (CEs) and 44 days for anticyclonic eddies (AEs) within the South China Sea (SCS). The predictability limit is related to the OME properties and seasons. The long-lived, large-amplitude, and large-radius OMEs tend to have a higher predictability limit. The predictability limit of AE (CE) tracks is highest in autumn (winter) with 52 (53) days and lowest in spring (summer) with 40 (30) days. The spatial distribution of the predictability limit of OME tracks also has seasonal variations, further finding that the area of higher predictability limits often overlaps with periodic OMEs. Additionally, the predictability limit of periodic OME tracks is about 49 days for both CEs and AEs, which is 5-10 days higher than the mean values. Usually, in the SCS, OMEs characterized by high predictability limit values exhibit more extended and smoother trajectories and often move along the northern slope of the SCS.

关键词： predictability mesoscale eddy nonlinear local Lyapunov exponent South China Sea seasonal variability

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CAS-FGOALS Datasets for the Two Interglacial Epochs of the Holocene and the Last Interglacial in PMIP4

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Advances in Atmospheric Sciences 2020年第10期37卷 1034-1044页

作者： weipeng zheng Yongqiang YU Yihua LUAN Shuwen ZHAO Bian HE Li DONG Mirong SONG Pengfei LIN and Hailong LIU State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Climate Change Research Center Chinese Academy of SciencesBeijing 100029China Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101China

Two versions of the Chinese Academy of Sciences Flexible Global Ocean-Atmosphere-Land System model(CASFGOALS),version f3-L and g3,are used to simulate the two interglacial epochs of the mid-Holocene and the Last Interglacial in phase 4 of the Paleoclimate Modelling Intercomparison Project(PMIP4),which aims to study the impact of changes in orbital parameters on the Earth’s *** the PMIP4 experimental protocols,four simulations for the mid-Holocene and two simulations for the Last Interglacial have been completed,and all the data,including monthly and daily outputs for the atmospheric,oceanic,land and sea-ice components,have been released on the Earth System Grid Federation(ESGF)*** datasets contribute to PMIP4 and CMIP6(phase 6 of the Coupled Model Intercomparison Project)by providing the variables necessary for the two interglacial *** this paper,the basic information of the CAS-FGOALS models and the protocols for the two interglacials are briefly described,and the datasets are validated using proxy *** suggest that the CAS-FGOALS models capture the large-scale changes in the climate system in response to changes in solar insolation during the interglacial epochs,including warming in mid-to-high latitudes,changes in the hydrological cycle,the seasonal variation in the extent of sea ice,and the damping of interannual variabilities in the tropical ***,disagreements within and between the models and the proxy data are also *** datasets will help the modeling and the proxy data communities with a better understanding of model performance and biases in paleoclimate simulations.

关键词： PMIP4 CMIP6 CAS-FGOALS interglacials orbital parameters

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China’s EarthLab-Forefront of Earth System Simulation Research

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Advances in Atmospheric Sciences 2021年第10期38卷 1611-1620页

作者： Zhaoyang CHAI He ZHANG Mulan ZHANG Xiao TANG weipeng zheng Jiang ZHU Guangqing ZHOU Junji CAO Qingcun ZENG Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100049China

This article introduces“EarthLab”,a major new Earth system numerical simulation facility developed in *** is a numerical simulation system for a physical climate system,an environmental system,an ecological system,a solid earth system,and a space weather system as a whole with a high-performance scientific computing *** consists of five key elements-namely:a global earth numerical simulation system,a regional high-precision simulation system,a supercomputing support and management system,a database,data assimilation and visualization system,and a high-performance computing system for earth *** helps to study the atmosphere,hydrosphere,cryosphere,lithosphere,and biosphere,as well as their interactions,to improve the accuracy of predictions by integrating simulations and observations,and to provide a scientific foundation for major issues such as national disaster prevention and *** construction and operation of EarthLab will involve close cooperation with joint contributions and shared benefits.

关键词： EarthLab earth system numerical simulation high-performance computing platform

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LICOM Model Datasets for the CMIP6 Ocean Model Intercomparison Project

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Advances in Atmospheric Sciences 2020年第3期37卷 239-249页

作者： Pengfei LIN Zhipeng YU Hailong LIU Yongqiang YU Yiwen LI Jirong JIANG Wei XUE Kangjun CHEN Qian YANG Bowen ZHAO Jilin WEI Mengrong DING Zhikuo SUN Yaqi WANG Yao MENG weipeng zheng Jinfeng MA LASG Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Computer Network Information Center Chinese Academy of SciencesBeijing 100190China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China

The datasets of two Ocean Model Intercomparison Project(OMIP)simulation experiments from the LASG/IAP Climate Ocean Model,version 3(LICOM3),forced by two different sets of atmospheric surface data,are described in this *** experiment forced by CORE-II(Co-ordinated Ocean–Ice Reference Experiments,Phase II)data(1948–2009)is called OMIP1,and that forced by JRA55-do(surface dataset for driving ocean–sea-ice models based on Japanese 55-year atmospheric reanalysis)data(1958–2018)is called ***,the improvement of LICOM from CMIP5 to CMIP6 and the configurations of the two experiments are ***,the basic performances of the two experiments are validated using the climatological-mean and interannual time scales from *** find that the mean states,interannual variabilities,and long-term linear trends can be reproduced well by the two *** differences between the two datasets are also ***,the usage of these data is *** datasets are helpful toward understanding the origin system bias of the fully coupled model.

关键词： OMIP CMIP6 ocean sea-ice model model bias

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The Super-large Ensemble Experiments of CAS FGOALS-g3

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Advances in Atmospheric Sciences 2022年第10期39卷 1746-1765,I0021-I0025页

作者： Pengfei LIN Bowen ZHAO Jilin WEI Hailong LIU Wenxia ZHANG Xiaolong CHEN Jie JIANG Mengrong DING Wenmin MAN Jinrong JIANG Xu ZHANG Yuewen DING Wenrong BAI Chenyang JIN Zipeng YU Yiwen LI weipeng zheng Tianjun ZHOU State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Computer Network Information Center Chinese Academy of SciencesBeijing 100190China Group of Alpine Paleoecology and Human Adaptation(ALPHA) State Key Laboratory of Tibetan Plateau Earth SystemResources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100864China Key Laboratory of Western China’s Environmental Systems(Ministry of Education) College of Earth and Environmental ScienceLanzhou UniversityLanzhou 730000China

A super-large ensemble simulation dataset with 110 members has been produced by the fully coupled model FGOALS-g3 developed by researchers at the Institute of Atmospheric Physics,Chinese Academy of *** is the first dataset of large ensemble simulations with a climate system model developed by a Chinese modeling *** simulation has the largest realizations up to now worldwide in terms of single-model initial-condition large *** member includes a historical experiment(1850-2014)and an experiment(2015-99)under the very high greenhouse gas emissions Shared Socioeconomic Pathway scenario(SSP5-8.5).The dataset includes monthly and daily temperature,precipitation,and other variables,requiring storage of 275 ***,the surface air temperature(SAT)and land precipitation simulated by the FGOALS-g3 super-large ensemble have been validated and *** ensemble can capture the response of SAT and land precipitation to external forcings well,and the internal variabilities can be *** availability of more than 100 realizations will help researchers to study rare events and improve the understanding of the impact of internal variability on forced climate changes.

关键词： large ensemble forced response internal variability climate change

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Eddy-resolving Simulation of CAS-LICOM3 for Phase 2 of the Ocean Model Intercomparison Project

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Advances in Atmospheric Sciences 2020年第10期37卷 1067-1080页

作者： Yiwen LI Hailong LIU Mengrong DING Pengfei LIN Zipeng YU Yongqiang YU Yao MENG Yunlong LI Xiaodong JIAN Jinrong JIANG Kangjun CHEN Qian YANG Yaqi WANG Bowen ZHAO Jilin WEI Jinfeng MA weipeng zheng and Pengfei WANG State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China National Supercomputer Center in Tianjin Tianjin 300457China Computer Network Information Center Chinese Academy of SciencesBeijing 100190China

A 61-year(1958–2018)global eddy-resolving dataset for phase 2 of the Ocean Model Intercomparison Project has been produced by the version 3 of Chinese Academy of Science,the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics/Institute of Atmospheric Physics(LASG/IAP)Climate system Ocean Model(CAS-LICOM3).The monthly and a part of the surface daily data in this study can be accessed on the Earth System Grid Federation(ESGF)*** the details of the model and experiments,the evolutions and spatial patterns of large-scale and mesoscale features are also *** mesoscale features are reproduced well in the high-resolution simulation,as the mesoscale activities can contribute up to 50%of the total SST variability in eddy-rich ***,the large-scale circulations are remarkably improved compared with the low-resolution simulation,such as the climatological annual mean SST(the RMSE is reduced from 0.59°C to 0.47°C,globally)and the evolution of Atlantic Meridional Overturning *** preliminary evaluation also indicates that there are systematic biases in the salinity,the separation location of the western boundary currents,and the magnitude of eddy kinetic *** these biases are worthy of further investigation.

关键词： eddy-resolving dataset mesoscale eddies CAS-LICOM3 OMIP

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一个耦合气候系统模式模拟的中全新世时期亚洲季风系统变化

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第四纪研究 2009年第6期29卷 1135-1145页

作者：郑伟鹏俞永强中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室北京100029

本文分析了一个耦合模式FGOALS_g1.0对工业革命前气候(0ka)和中全新世时期(6ka)亚洲夏季风的模拟结果。在该研究中我们主要分析季风降水变率较大的区域,即东亚夏季风区(20°～45°N,110°～120°E)和印度夏季风区(10°～30°N,70°～80... 详细信息

本文分析了一个耦合模式FGOALS_g1.0对工业革命前气候(0ka)和中全新世时期(6ka)亚洲夏季风的模拟结果。在该研究中我们主要分析季风降水变率较大的区域,即东亚夏季风区(20°～45°N,110°～120°E)和印度夏季风区(10°～30°N,70°～80°E)。尽管耦合模式的普遍偏差依然存在,该模式反映出亚洲季风系统是海陆热力性质差异的结果,并较好地模拟出了0ka亚洲夏季风大尺度环流的特点和季节变化的特征。6ka和0ka比较分析的结果表明,6ka时期欧亚大陆增暖,海陆温度梯度加强;印度夏季风降水从南亚大陆北移到30°N附近,位于青藏高原南侧的降水大值中心降水加强;东亚季风区降水则表现为华北地区减少,长江流域和华南地区降水增加的特点。但合理地模拟季风爆发仍然是耦合气候系统模式的难点之一。6ka时期亚洲夏季风变化是和大尺度季风环流的变化联系在一起的,而其根本原因是中全新世时期地球轨道参数变化所引起的太阳辐射变化,北半球季节循环的振幅加强。海陆热力性质的差异所导致海陆温差加大使得北半球的季风环流加强,印度夏季风高空东风在20°～30°N加强,低层赤道东风加强,跨赤道后的西南气流向北推移,从而使得印度夏季风降水雨带北移到30°N附近。东亚季风区的高低空温度场的配置使得副热带高空急流减弱,位置偏南,从而有利于华北地区的高空出现异常的辐合,中层为异常的辐散,抑制了季风降水的发展;长江流域和华南地区则相反,季风降水降水加强。

关键词：季风海陆热力性质海气相互作用中全新世耦合模式

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天堂村景观设计方案分析

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江西建材 2020年第10期 221-222页

作者：郑炜鹏福建一建集团有限公司福建三明365001

文中将天堂村景观设计作为主要的研究对象,深入分析了村口位置、宅间小路等的改造,阐述了设计前期需要开展的各项工作,研究了景观设计阶段需要考量的各类问题,希望可以为相关人员提供帮助。

关键词：天堂村民族文化红色文化

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