检索结果-南通市图书馆

Simulation and Projection of Near-Surface Wind Speeds in China by BCC-CSM Models

在线全文

学校读者我要写书评

暂无评论

Journal of Meteorological Research 2019年第1期33卷 149-158页

作者： Yajun XIONG xiaoge xin xingxia KOU Institute of Urban Meteorology China Meteorological Administration Environmental Meteorology Forecast Center of Beijing–Tianjin–Hebei Region National Climate Center China Meteorological Administration

We evaluated the ability of the Beijing Climate Center models on different horizontal resolutions(BCC-CSM1.1 on approximately 280-km resolution and BCC-CSM1.1 m on approximately 110-km resolution) in simulating the nearsurface wind speeds(NWS) in China during 1961–2005. The spatial distribution of the annual mean NWS over China is better captured by BCC-CSM1.1 m than by BCC-CSM1.1 due to the finer resolution. The weakened NWS over China during 1961–2005 cannot be reproduced by BCC-CSM1.1, whereas BCC-CSM1.1 m is able to simulate the decreasing trend of the autumn NWS in North China, although the magnitude is about 1/3 of the observed value.This is attributed to the better performance of this finer-resolution model in reproducing the increase in sea level pressure over Mongolia and North China over the past 45 years. The results suggest that increasing the horizontal resolution of the BCC-CSM model has improved its ability in reproducing the spatial distribution and long-term changes of NWS over China. Future projections by BCC-CSM1.1 m under different Representative Concentration Pathway(RCP) scenarios demonstrate that the autumn NWS in North China will decrease during the 21 st century under both the middle(RCP4.5) and high(RCP8.5) emission scenarios, with a higher decreasing rate under RCP8.5.

关键词： wind speed simulation projection BCC-CSM Representative Concentration Pathway(RCP)

Improved decadal climate prediction in the North Atlantic using EnOI-assimilated initial condition

在线全文

学校读者我要写书评

暂无评论

Science Bulletin 2017年第16期62卷 1142-1147页

作者： Min Wei Qingquan Li xiaoge xin Wei Zhou Zhenyu Han Yong Luo Zongci Zhao Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Joint Center for Global Change Studies Beijing 100875China National Meteorological Information Center China Meteorological AdministrationBeijing 100081China Laboratory for Climate Studies National Climate CenterChina Meteorological AdministrationBeijing 100081China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Tropical Oceanography South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China

Decadal prediction experiments of Beijing Climate Center climate system model version 1.1(BCCCSM1.1) participated in Coupled Model Intercomparison Project Phase 5(CMIP5) had poor skill in extratropics of the North Atlantic, the initialization of which was done by relaxing modeled ocean temperature to the Simple Ocean Data Assimilation(SODA) reanalysis data. This study aims to improve the prediction skill of this model by using the assimilation technique in the initialization. New ocean data are firstly generated by assimilating the sea surface temperature(SST) of the Hadley Centre Sea Ice and Sea Surface Temperature(Had ISST) dataset to the ocean model of BCC-CSM1.1 via Ensemble Optimum Interpolation(EnOI). Then a suite of decadal re-forecasts launched annually over the period 1961–2005 is carried out with simulated ocean temperature restored to the assimilated ocean data.Comparisons between the re-forecasts and previous CMIP5 forecasts show that the re-forecasts are more skillful in mid-to-high latitude SST of the North Atlantic. Improved prediction skill is also found for the Atlantic multi-decadal oscillation(AMO), which is consistent with the better skill of Atlantic meridional overturning circulation(AMOC) predicted by the re-forecasts. We conclude that the EnOI assimilation generates better ocean data than the SODA reanalysis for initializing decadal climate prediction of BCC-CSM1.1 model.

关键词：气候预测模型北大西洋数据同化年代际海洋温度初始化过程气候系统模式海洋表面温度

Performance of BCC-CSM Models with Different Horizontal Resolutions in Simulating Extreme Climate Events in China

在线全文

学校读者我要写书评

暂无评论

Journal of Meteorological Research 2019年第4期33卷 720-733页

作者： Linxiao WEI xiaoge xin Chan XIAO Yonghua LI Yao WU Hongyu TANG Chongqing Climate Center Chongqing Meteorological AdministrationChongqing 401147 National Climate Center China Meteorological AdministrationBeijing 100081

In this study,the performance of the Beijing Climate Center(BCC)Climate System Model version 1.1(BCCCSM1.1)(280-km resolution)and the BCC-CSM1.1 m(110-km resolution)in simulating extreme climate events over China in the last 40 years is compared.Both models capture the main spatial distribution features of heavy precipitation(R95T),the number of consecutive wet days(CWD),the annual count of days with precipitation≥1 mm(R1),the maximum consecutive 5-day precipitation(Rx5),and the numbers of frost days(FD)and summer days(SU).The BCC-CSM1.1 m has a better ability to simulate the detailed distribution of extreme climate events than the BCCCSM1.1,including R95T,CWD,R1,and the simple precipitation intensity index(SDII).However,the BCCCSM 1.1 m does not show an improvement in simulating the number of days with extreme precipitation(R90N),the number of consecutive dry days(CDD),the heat wave duration index(HWDI),the warm day frequency(TX90 P),and cold night frequency(TN10P).This indicates that the simulation of the R95T,CWD,R1,and SDII climate events is more sensitive to the resolution of the model.The improved BCC-CSM1.1 m is used to explore the projection of extreme climate change in China during the 21 st century under the RCP4.5(Representative Concentration Pathways)and RCP8.5 scenarios.The results show that extreme precipitation will increase dramatically over North and Southwest China in the late 21 st century.The CWD index will decrease on the Tibetan Plateau and in northeastern and central China and will increase in other parts of China;R1 will increase in northern China and decrease in southern China;Rx5 will increase dramatically in southern China;FD will decrease and SU will increase over China in the late 21 st century under both emission scenarios,with larger amplitudes in RCP8.5.

关键词： extreme climate events BCC-CSM evaluation projections

BCC-ESM1 Model Datasets for the CMIP6 Aerosol Chemistry Model Intercomparison Project (AerChemMIP)

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2021年第2期38卷 317-328页

作者： Jie ZHANG Tongwen WU Fang ZHANG Kalli FURTADO xiaoge xin Xueli SHI Jianglong LI Min CHU Li ZHANG Qianxia LIU Jinghui Yan Min WEI Qiang MA Beijing Climate Center China Meteorological AdministrationBeijing 100081China Met Office Hadley Centre Exeter EX13PBUK National Meteorological Information Center China Meteorological AdministrationBeijing 100081China

BCC-ESM1 is the first version of the Beijing Climate Center’s Earth System Model,and is participating in phase 6 of the Coupled Model Intercomparison Project(CMIP6).The Aerosol Chemistry Model Intercomparison Project(AerChemMIP)is the only CMIP6-endorsed MIP in which BCC-ESM1 is involved.All AerChemMIP experiments in priority 1 and seven experiments in priorities 2 and 3 have been conducted.The DECK(Diagnostic,Evaluation and Characterization of Klima)and CMIP historical simulations have also been run as the entry card of CMIP6.The AerChemMIP outputs from BCC-ESM1 have been widely used in recent atmospheric chemistry studies.To facilitate the use of the BCC-ESM1 datasets,this study describes the experiment settings and summarizes the model outputs in detail.Preliminary evaluations of BCC-ESM1 are also presented,revealing that:the climate sensitivities of BCC-ESM1 are well within the likely ranges suggested by IPCC AR5;the spatial structures of annual mean surface air temperature and precipitation can be reasonably captured,despite some common precipitation biases as in CMIP5 and CMIP6 models;a spurious cooling bias from the 1960s to 1990s is evident in BCC-ESM1,as in most other ESMs;and the mean states of surface sulfate concentrations can also be reasonably reproduced,as well as their temporal evolution at regional scales.These datasets have been archived on the Earth System Grid Federation(ESGF)node for atmospheric chemistry studies.

关键词： BCC-ESM1 CMIP6 AerChemMIP climate sensitivity precipitation surface air temperature sulfate

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

在线全文

学校读者我要写书评

暂无评论

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 Laboratory 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 Oceanography 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 change.The research and development(R&D)of ECSM in China began in the 1980 s and have achieved great progress.In China,ECSMs are now mainly developed at the Chinese Academy of Sciences,ministries,and universities.Following 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 Asia.The 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 discussed.Finally,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

奇异向量初值扰动方法对BCC模式集合预报技巧的改进（英文）

在线全文

学校读者我要写书评

暂无评论

奇异向量初值扰动方法对BCC模式集合预报技巧的改进（英文）

A Physarum-inspired approach to supply chain network design

第32届中国气象学会年会

作者： Yanjie Cheng Tongwen Wu Xiangwen Liu xiaoge xin National Climate Center China Meteorological Administration

ENSO prediction skill in coupled climate model is significantly influenced by initial SST conditions.In this study,ensemble ENSO hindcasts for the time period of 1991-2014 are conducted by the coupled

关键词：

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Science China(Information Sciences) 2016年第5期59卷 191-204页

作者： xiaoge ZHANG Andrew ADAMATZKY xin-She YANG Hai YANG Sankaran MAHADEVAN Yong DENG School of Computer and Information Science Southwest University School of Engineering Vanderbilt University Unconventional Computing Center University of the West of England School of Science and Technology Middlesex University Department of Civil and Environmental Engineering the Hong Kong University of Science and Technology

A supply chain is a system which moves products from a supplier to customers, which plays a very important role in all economic activities. This paper proposes a novel algorithm for a supply chain network design inspired by biological principles of nutrients’ distribution in protoplasmic networks of slime mould Physarum polycephalum. The algorithm handles supply networks where capacity investments and product flows are decision variables, and the networks are required to satisfy product demands. Two features of the slime mould are adopted in our algorithm. The first is the continuity of flux during the iterative process, which is used in real-time updating of the costs associated with the supply links. The second feature is adaptivity. The supply chain can converge to an equilibrium state when costs are changed. Numerical examples are provided to illustrate the practicality and flexibility of the proposed method algorithm.

关键词： supply chain design Physarum capacity investments network optimization adaptivity

Evaluation of Cloud Vertical Structure Simulated by Recent BCC_AGCM Versions through Comparison With CALIPSO-GOCCP Data

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2014年第3期31卷 721-733页

作者： WANG Fang xin xiaoge WANG Zaizhi CHENG Yanjie ZHANG Jie YANG Song National Climate Center China Meteorological Administration Sun Yat-sen University

ABSTRACT The abilities of BCC-AGCM2.1 and BCC_AGCM2.2 to simulate the annual-mean cloud vertical structure （CVS） were evaluated through comparison with GCM-Oriented CALIPSO Cloud Product （CALIPSO-GOCCP） data. BCC-AGCM2.2 has a dynamical core and physical processes that are consistent with BCC-AGCM2.1, but has a higher horizontal resolution. Results showed that both BCC-AGCM versions underestimated the global-mean total cloud cover （TCC）, middle cloud cover （MCC） and low cloud cover （LCC）, and that BCC_AGCM2.2 underestimated the global-mean high cloud cover （HCC）. The global-mean cloud cover shows a systematic decrease from BCCA-GCM2.1 to BCC_AGCM2.2, especially for HCC. Geographically, HCC is significantly overestimated in the tropics, particularly by BCC_AGCM2,1, while LCC is generally overestimated over extra-tropical lands, but significantly underestimated over most of the oceans, especially for subtropical marine stratocumulus clouds. The leading EOF modes of CVS were extracted. The BCC_AGCMs perform well in reproducing EOF1, but with a larger variance explained. The two models also capture the basic features of EOF3, except an obvious deficiency in eigen- vector peaks. EOF2 has the largest simulation biases in both position and strength of eigenvector peaks. Furthermore, we investigated the effects of CVS on relative shortwave and longwave cloud radiative forcing （RSCRF and RLCRF）. Both BCC_AGCM versions successfully reproduce the sign of regression coefficients, except for RLCRF in PC1. However, the RSCRF relative contributions from PC1 and PC2 are overestimated, while the relative contribution from PC3 is underes timated in both BCC_AGCM versions. The RLCRF relative contribution is underestimated for PC2 and overestimated for PC3.

关键词： cloud vertical structure BCC_AGCM relative cloud radiative forcing

基于区块链的雾网络中的任务卸载优化方案研究

在线全文

学校读者我要写书评

暂无评论

电子与信息学报 2022年第7期44卷 2440-2448页

作者：黄晓舸刘鑫何勇陈前斌重庆邮电大学通信与信息工程学院重庆400065

当前物联网(IoT)应用的快速增长对用户设备的计算能力是一个巨大的挑战。雾计算(FC)网络可为用户设备提供近距离、快速的计算服务,为资源紧张,计算能力有限的用户设备提供了解决方案。该文提出一个基于区块链的雾网络模型,该模型中用户... 详细信息

当前物联网(IoT)应用的快速增长对用户设备的计算能力是一个巨大的挑战。雾计算(FC)网络可为用户设备提供近距离、快速的计算服务,为资源紧张,计算能力有限的用户设备提供了解决方案。该文提出一个基于区块链的雾网络模型,该模型中用户设备可以将计算密集型任务卸载到计算能力强的节点处理。为最小化任务处理时延和能耗,引入两种任务卸载模型,即设备到设备(D2D)协作群组任务卸载和雾节点(FNs)任务卸载。此外,针对雾计算网络任务卸载过程的数据安全问题,引入区块链技术构建去中心化分布式账本,防止恶意节点修改交易信息,实现数据安全可靠传输。为降低共识机制时延和能耗,提出了改进的基于投票的委托权益证明(DPoS)共识机制,得票数超过阈值的FNs组成验证集,验证集中的FN轮流作为管理者生成新区块。最后,以最小化网络成本为目标,联合优化任务卸载决策、传输速率分配和计算资源分配,提出任务卸载决策和资源分配(TODRA)算法进行求解,并通过仿真实验验证了该算法的有效性。

关键词：任务卸载雾计算网络区块链资源分配