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Author Correction: Submesoscale inverse energy cascade enhances Southern Ocean eddy heat transport

Nature communications 2023年第1期14卷 8403页

作者： Zhiwei Zhang Yuelin Liu Bo Qiu Yiyong Luo Wenju Cai Qingguo Yuan Yinxing Liu Hong Zhang Hailong Liu Mingfang Miao Jinchao Zhang Wei Zhao Jiwei Tian Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory/Key Laboratory of Ocean Observation and Information of Hainan Province Sanya Oceanographic Institution Ocean University of China Qingdao/Sanya China. zzw330@***. Laoshan Laboratory Qingdao China. zzw330@***. Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory/Key Laboratory of Ocean Observation and Information of Hainan Province Sanya Oceanographic Institution Ocean University of China Qingdao/Sanya China. Department of Oceanography University of Hawaii at Manoa Honolulu HI USA. Laoshan Laboratory Qingdao China. Center for Southern Hemisphere Oceans Research (CSHOR) CSIRO Oceans and Atmosphere Hobart Australia. Joint Institute for Regional Earth System Science and Engineering University of California Los Angeles CA USA. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory/Key Laboratory of Ocean Observation and Information of Hainan Province Sanya Oceanographic Institution Ocean University of China Qingdao/Sanya China. weizhao@***. Laoshan Laboratory Qingdao China. weizhao@***. Frontier Science Center for Deep Ocean Multispheres and Earth System (FDOMES) and Physical Oceanography Laboratory/Key Laboratory of Ocean Observation and Information of Hainan Province Sanya Oceanographic Institution Ocean University of China Qingdao/Sanya China. tianjw@***. Laoshan Laboratory Qingdao China. tianjw@***.

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Extended Disturbance Observer Based Execution Adjustment Estimation Method of Dynamic Demand Response

Extended Disturbance Observer Based Execution Adjustment Est...

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International Conference on control, Automation and Information Sciences (ICCAIS)

作者： Yaqing Zhao Xin Shan Wenjun Bi Ying Wang Kun Yuan Kaifeng Zhang School of Cyber Science and Engineering Southeast University Nanjing China System R&D Center NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Key Laboratory of Measurement and Control of CSE Southeast University Nanjing China

ISBN: (数字)9781728123110

ISBN: (纸本)9781728123127

Since Dynamic demand response (DDR) has the characteristics of large quantity and uncertainty, it is difficult to get accurate response power in real time. At the same time, it is very important to know the execution adjustment of DDR accurately and quickly for updating DDR control strategy and frequency regulation of power system. In this paper, we design an extended disturbance observer (EDO) to estimate the execution adjustment of DDR. Firstly, in order to facilitate the design of estimation scheme, a simplified load frequency control (LFC) model is obtained by using model fitting method. Then, by combining the load variation with tie-line power exchange as an extended disturbance, a reduced-order LFC model of power system is derived. Finally, based on the reduced-order LFC model, EDO can be designed by pole-assignment method. The execution adjustment of DDR can be obtained by subtracting the measured value of tie-line power from the estimated value of the observer. From the simulation results of a multi-area LFC control system, the effectiveness of the proposed scheme is demonstrated.

关键词： Frequency control Power system dynamics Load modeling Disturbance observers

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Digital twin based comfort scenario modeling of ATO controlled train

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Journal of Physics: Conference Series 2020年第1期1654卷

作者： Zicong Meng Tao Tang Guodong Wei Lei Yuan The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China. The National Engineering Research Center for Rail Transportation Operation Control System Beijing Jiaotong University Beijing 100044 China.

Whether in Europe or China, ATO based train control system has become a trend. However, the application time of ATO is short and the user experience is insufficient. In order to better carry out system research and development, system test, system optimization and other work, the construction scheme of the simulation platform based on digital twin is proposed. In this paper, by comparing five-dimension model with three-dimension model, digital twin is built based on the five-dimension model of digital twin, and the virtual model in the five-dimension model is introduced in detail. Physical, behavioural, rule and geometric models are constructed from the four perspectives of the effect of each element in the scene on the train, the dynamic characteristics of the train, the correlation between the elements and the scene, and the visualization of the scene. Based on digital twin, the paper designs the framework of simulation platform to support ATO performance optimization and other work. The parameters in the model can be adjusted repeatedly through field data to achieve higher consistency between the model and the simulation object.

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Patterns and drivers of soil organic carbon fractions and persistence in coastal wetlands of China

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CATENA 2025年 257卷

作者： Lele Wu Zhaoliang Song Xinyu Zhang Yuan Guo Yidong Wang Changxun Yu Yunying Fang Iain P. Hartley Ji Chen Shaopan Xia Xiaoguang Ouyang Wenhai Mi Ding He Cong-Qiang Liu Hailong Wang Institute of Surface-Earth System Science School of Earth System Science Tianjin University Tianjin 300072 China Tianjin Key Laboratory of Earth Critical Zone Science and Sustainable Development in Bohai Rim Tianjin University Tianjin China Haihe Laboratory of Sustainable Chemical Transformations Tianjin China Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal University Tianjin 300387 China Department of Biology and Environmental Science Linnaeus University Kalmar Sweden Australian Rivers Institute School of Environment and Science Griffith University Nathan 4111 Australia Geography College of Life and Environmental Sciences University of Exeter Exeter UK State Key Laboratory of Loess and Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi’an 710061 China Department of Agroecology Aarhus University 8830 Tjele Denmark Institute of Resource Ecosystem and Environment of Agriculture College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing Jiangsu 210095 China Guangdong Basic Research Center of Excellence for Ecological Security and Green Development Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Guangzhou 511458 China Research Centre of Ecology & Environment for Coastal Area and Deep Sea Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Guangzhou 511458 China Guangdong Basic Research Center of Excellence for Ecological Security and Green Development School of Ecology Environment and Resources Guangdong University of Technology Guangzhou 510006 China College of Environmental Science and Engineering Yangzhou University Yangzhou 225127 China Department of Ocean Science and Center for Ocean Research in Hong Kong and Macau The Hong Kong University of Science and Technology Hong Kong China School of Environmental and Chemical Engineering Foshan University Foshan China Guangdong Provincial Key Laboratory of Integrated Agro-environmental Po

Coastal wetlands have disproportionately high carbon (C) sequestration rates and long-term sustainable C sequestration capacity, contributing to the mitigation of global climate change. Previous studies have mainly focused on the assessment of bulk soil organic C (SOC) in coastal wetlands, neglecting the form in which C is stored, its stability and driving factors, which hinders our in-depth understanding of C sequestration capacity and underlying mechanisms. In this study, we sampled 157 plots across coastal wetlands in China, covering tropical, subtropical, and temperate climates to gain a detailed understanding of the distribution, stability, and control mechanisms of SOC fractions. Our results showed that the SOC in the topsoil (0–10 cm) was co-dominated by mineral-associated organic C (MAOC) and particulate organic C (POC) in mudflats, temperate and subtropical salt marshes, and subtropical mangroves, but not in tropical mangroves. The content of dissolved organic C (DOC, 0.12 ± 0.08 g kg −1 ) was only 1.15 ± 0.06 % of bulk SOC. The POC became more dominant relative to MAOC and DOC as SOC content increased. We found that soil properties (total nitrogen, bulk density, and particle size, etc), were the primary explanatory variables for SOC fractions content and persistence, accounting for 58 %, 64 %, 38 %, 53 %, and 34 % of total variation in MAOC, POC, DOC, MAOC/SOC, and C/N, respectively. Although climate and vegetation factors did not directly control C contents in soil matrix and persistence, they interacted strongly with edaphic variables explaining 8 %, 16 %, 11 %, 12 %, and 13 % of the total variation in the above variables, respectively. Our results suggest that the increase in SOC, especially POC, reduced its persistence, so the implementation of C management strategies in coastal wetlands should integrate SOC sequestration and stability to maximize benefits.

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Corrigendum: provincial-scale assessment of direct air capture to meet China’s climate neutrality goal under limited bioenergy supply (2024 Environ. Res. Lett. 19 114021)

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Environmental research Letters 2025年第2期20卷 029502-029502页

作者： Hanwoong Kim Yang Qiu Haewon McJeon Andres Clarens Parisa Javadi Can Wang Rui Wang Jiachen Wang Hanying Jiang Andy Miller Ryna Cui Jenna Behrendt Yang Ou Sha Yu Jay Fuhrman Joint Global Change Research Institute University of Maryland and Pacific Northwest National Laboratory College Park MD 20740 United States of America Graduate School of Green Growth and Sustainability (GGGS) Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon 34141 Republic of Korea University of Virginia Department of Civil and Environmental Engineering University of Virginia Charlottesville VA 22904 United States of America State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084 People’s Republic of China Department of Earth System Science Ministry of Education Key Laboratory for Earth System Modelling Institute for Global Change Studies Tsinghua University Beijing 100084 People’s Republic of China Center for Global Sustainability School of Public Policy University of Maryland College Park MD United States of America College of Environmental Sciences and Engineering Peking University Beijing People’s Republic of China Institute of Carbon Neutrality Peking University Beijing People’s Republic of China

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Seasonal Forecasts of the Summer 2016 Yangtze River Basin Rainfall

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Advances in Atmospheric Sciences 2018年第8期35卷 22-30页

作者： Philip E. BETT Adam A. SCAIFE Chaofan LI Chris HEWITT Nicola GOLDING Peiqun ZHANG Nick DUNSTONE Doug M. SMITH Hazel E. THORNTON Riyu LU Hong-Li REN Met Office Hadley Centre FitzRoy Road Exeter EX1 3PB UK College of Engineering Mathematics and Physical Sciences University of Exeter Exeter Devon EX4 4QF UK Center for Monsoon System Research Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China Laboratory for Climate Studies National Climate Center China Meteorological Administration Beijing 100081 China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China

The Yangtze River has been subject to heavy flooding throughout history, and in recent times severe floods such as those in 1998 have resulted in heavy loss of life and livelihoods. Dams along the river help to manage flood waters, and are important sources of electricity for the region. Being able to forecast high-impact events at long lead times therefore has enormous potential benefit. Recent improvements in seasonal forecasting mean that dynamical climate models can start to be used directly for operational services. The teleconnection from E1 Nifio to Yangtze River basin rainfall meant that the strong E1 Nifio in winter 2015/16 provided a valuable opportunity to test the application of a dynamical forecast system. This paper therefore presents a case study of a real-time seasonal forecast for the Yangtze River basin, building on previous work demonstrating the retrospective skill of such a forecast. A simple forecasting methodology is presented, in which the forecast probabilities are derived from the historical relationship between hindcast and observations. Its performance for 2016 is discussed. The heavy rainfall in the May-June-July period was correctly forecast well in advance. August saw anomalously low rainfall, and the forecasts for the June-July-August period correctly showed closer to average levels. The forecasts contributed to the confidence of decision-makers across the Yangtze River basin. Trials of climate services such as this help to promote appropriate use of seasonal forecasts, and highlight areas for future improvements.

关键词： seasonal forecasting flood forecasting Yangtze basin rainfall ENSO hydroelectricity

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Predictable and Unpredictable Components of the Summer East Asia–Pacific Teleconnection Pattern

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Advances in Atmospheric Sciences 2018年第11期35卷 1372-1380页

作者： Xiaozhen LIN Chaofan LI Riyu LU Adam A.SCAIFE State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China University of Chinese Academy of Sciences Beijing 100029China Center for Monsoon System Research Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Met Oce Hadley Centre FitzRoy RoadExeter EX1 3PBUK College of Engineering Mathematics and Physical SciencesUniversity of ExeterExeterDevon EX4 4QF UK

The East Asia–Pacific(EAP) teleconnection pattern is the dominant mode of circulation variability during boreal summer over the western North Pacific and East Asia, extending from the tropics to high latitudes. However, much of this pattern is absent in multi-model ensemble mean forecasts, characterized by very weak circulation anomalies in the mid and high latitudes. This study focuses on the absence of the EAP pattern in the extratropics, using state-of-the-art coupled seasonal forecast systems. The results indicate that the extratropical circulation is much less predictable, and lies in the large spread among different ensemble members, implying a large contribution from atmospheric internal variability. However,the tropical–mid-latitude teleconnections are also relatively weaker in models than observations, which also contributes to the failure of prediction of the extratropical circulation. Further results indicate that the extratropical EAP pattern varies closely with the anomalous surface temperatures in eastern Russia, which also show low predictability. This unpredictable circulation–surface temperature connection associated with the EAP pattern can also modulate the East Asian rainband.

关键词： EAP pattern circulation seasonal forecast surface temperature eastern Russia

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Skillful Seasonal Forecasts of Summer Surface Air Temperature in Western China by Global Seasonal Forecast system Version 5

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Advances in Atmospheric Sciences 2018年第8期35卷 59-68页

作者： Chaofan LI Riyu LU Philip E. BETT Adam A. SCAIFE Nicola MARTIN Center for Monsoon System Research Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Beijing 100029 China University of the Chinese Academy of Sciences Beijing 100029 China Met Office Hadley Centre FitzRoy Road Exeter EX1 3PB UK College of Engineering Mathematics and Physical Sciences University of Exeter Exeter Devon EX4 4QF UK

Variations of surface air temperature （SAT） are key in affecting the hydrological cycle, ecosystems and agriculture in western China in summer. This study assesses the seasonal forecast skill and reliability of SAT in western China, using the GloSea5 operational forecast system from the UK Met Office. Useful predictions are demonstrated, with considerable skill over most regions of western China. The temporal correlation coefficients of SAT between model predictions and observations axe larger than 0.6, in both northwestern China and the Tibetan Plateau. There are two important sources of skill for these predictions in western China： interannual variation of SST in the western Pacific and the SST trend in the tropical Pacific. The tropical SST change in the recent two decades, with a warming in the western Pacific and cooling in the eastern Pacific, which is reproduced well by the forecast system, provides a large contribution to the skill of SAT in northwestern China. Additionally, the interannual variation of SST in the western Pacific gives rise to the reliable prediction of SAT around the Tibetan Plateau. It modulates convection around the Maritime Continent and further modulates the variation of SAT on the Tibetan Plateau via the surrounding circulation. This process is evident irrespective of detrending both in observations and the model predictions, and acts as a source of skill in predictions for the Tibetan Plateau. The predictability and reliability demonstrated in this study is potentially useful for climate services providing early warning of extreme climate events and could imply useful economic benefits.

关键词： seasonal forecast western China surface air temperature predictability warming trend

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Standard Analysis for Transfer Delay in CTCS-3

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Chinese Journal of Electronics 2017年第5期26卷 1057-1063页

作者： CAO Yuan MA Lianchuan XIAO Shuo ZHANG Xia XU Wei National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University School of Computer Sciences and Technology China University of Mining & Technology National Mobile Communications Research Lab. Southeast University

According to the standard for the GSM for railway(GSM-R) wireless systems in China train control system level 3(CTCS-3),the control data transfer delay should be no larger than 500 ms with greater than99% *** of both non-redundant networks and intercross redundant networks and cases of single Mobile terminals(MTs) and redundant MTs on one train are considered,and the corresponding vehicle-ground communication models,delay models,and fault models are *** simulation results confirm that the transfer delay can meet the standard requirements under all *** particular,the probability is greater than 99.996% for redundant MTs and networks,and the standard of transfer delay in CTCS-3 will be improved inevitably.

关键词： China train control system level 3(CTCS-3) GSM for railway(GSM-R) Data transfer delay Deterministic and stochastic petri net(DSPN)

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Stochastic channel modeling for high-speed railway viaduct scenario at 93.2 GHz 12

Stochastic channel modeling for high-speed railway viaduct s...

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12th European Conference on Antennas and Propagation, EuCAP 2018

作者： Wang, Longhe Ai, Bo Guan, Ke He, Danping Zhong, Zhangdui Tian, Li Dou, Jianwu State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Beijing Engineering Research Center of High-Speed Railway Broadband Mobile Communications Beijing100044 China Wireless Algorithm Department Product R and D system ZTE Corporation Shanghai201210 China

ISBN: (纸本)9781785617911

Nowadays, with the rapid development of the high-speed railway, more and more people prefer to using rail traffic for travel or for commuting due to its convenience and flexibility. Railway scenario becomes an important communication scenario in the 5G era. In order to satisfy the increasing demand for higher transmission capabilities, the railway communication system should be designed to support high data rate demands with seamless connectivity. The channel characteristics of viaduct tunnel scenario are studied and modeled in this paper. More channel characteristics are explored by ray-tracing simulations at 93.2 GHz with 2 GHz bandwidth. The critical channel parameters are extracted, supplied, and incorporated into a 3GPP-like random channel generator. The necessary channel information can be practically implemented so that the link level and system level design of the communication system can be supported in similar scenarios. © Institution of engineering and *** Rights Reserved.

关键词： 5G mobile communication systems

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