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Assimilating summer sea ice thickness enhances predictions of Arctic sea ice and surrounding atmosphere within two months

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npj Climate and Atmospheric science 2025年第1期8卷 1-13页

作者： Liu, Anling Yang, Jing Bao, Qing Vitart, Frederic Liu, Jiping Liang, Xi Lu, Mengqian Kim, Seong-Joong Gong, Daoyi Tian, Zhongxiang Liu, Hongbo State Key Laboratory of Earth Surface Processes and Hazards Risk Governance (ESPHR) Faculty of Geographical Science Beijing Normal University Beijing China State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China European Centre for Medium-Range Weather Forecasts (ECMWF) Reading United Kingdom School of Atmospheric Sciences Sun Yat-sen University Zhuhai China Key Laboratory of Marine Hazards Forecasting National Marine Environmental Forecasting Center Ministry of Natural Resources Beijing China Department of Civil and Environmental Engineering The Hong Kong University of Science and Technology Hong Kong Otto Poon Centre for Climate Resilience and Sustainability The Hong Kong University of Science and Technology Hong Kong Korea Polar Research Institute Incheon South Korea

Subseasonal prediction of Arctic sea ice and associated atmospheric conditions during the melting season remains challenging due to limited understanding of sea ice initial conditions. This study integrates sea ice assimilation into the coupled model FGOALS-f2 using the localized error subspace transform ensemble Kalman filter, and conducts subseasonal predictions starting from August 1st over 2004–2023. Results show that simultaneous assimilation of sea ice concentration (SIC) and thickness (SIT) significantly improves sea ice predictions for up to two months, while assimilating SIC alone primarily benefits one-month lead predictions. SIT assimilation provides added predictive value for surface air temperature (SAT) forecasts beyond SIC assimilation alone, effectively extending the atmospheric influence of sea ice initial conditions to two months. This improvement in SAT predictions is primarily attributed to a more realistic representation of the surface energy budget. These findings highlight the pivotal role of summer SIT assimilation to enhance subseasonal predictions in the Arctic and challenge the conventional view that initial conditions affect only short-term forecasts. This study underscores the necessity for better representation of ice–atmosphere interactions in models and advocates for enhanced observational capabilities for summer SIT to improve subseasonal predictions in the Arctic and surrounding regions. © The Author(s) 2025.

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Self-testing of a Single Quantum System: Theory and Experiment

arXiv

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arXiv 2022年

作者： Hu, Xiao-Min Xie, Yi Arora, Atul Singh Ai, Ming-Zhong Bharti, Kishor Zhang, Jie Wu, Wei Chen, Ping-Xing Cui, Jin-Ming Liu, Bi-Heng Huang, Yun-Feng Li, Chuan-Feng Guo, Guang-Can Roland, Jérémie Cabello, Adán Kwek, Leong-Chuan CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China CAS Center For Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China Department of Physics College of Liberal Arts and Sciences National University of Defense Technology Hunan Changsha410073 China Interdisciplinary Center for Quantum Information National University of Defense Technology Hunan Changsha410073 China Université libre de Bruxelles Belgium Institute of Quantum Information and Matter Department of Computing and Mathematical Sciences California Institute of Technology United States Centre for Quantum Technologies National University of Singapore Singapore Joint Center for Quantum Information and Computer Science Joint Quantum Institute NIST University of Maryland College ParkMD20742 United States Departamento de Física Aplicada II Universidad de Sevilla SevillaE-41012 Spain Instituto Carlos I de Física Teórica y Computacional Universidad de Sevilla SevillaE-41012 Spain MajuLab CNRS-UNS-NUS-NTU International Joint Research Unit UMI 3654 Singapore Singapore National Institute of Education Nanyang Technological University Singapore637616 Singapore

Certifying individual quantum devices with minimal assumptions is crucial for the development of quantum technologies. Here, we investigate how to leverage single-system contextuality to realize self-testing. We develop a robust self-testing protocol based on the simplest contextuality witness for the simplest contextual quantum system, the Klyachko-Can-Binicioğlu-Shumovsky (KCBS) inequality for the qutrit. We establish a lower bound on the fidelity of the state and the measurements (to an ideal configuration) as a function of the value of the witness under a pragmatic assumption on the measurements we call the KCBS orthogonality condition. We apply the method in an experiment with randomly chosen measurements on a single trapped 40Ca+ and near-perfect detection efficiency. The observed statistics allow us to self-test the system and provide the first experimental demonstration of quantum self-testing of a single system. Further, we quantify and report that deviations from our assumptions are minimal, an aspect previously overlooked by contextuality experiments. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

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Sub-seasonal to Seasonal Hindcasts of Stratospheric Sudden Warming by BCC_CSM1.1(m):A Comparison with ECMWF

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Advances in Atmospheric sciences 2019年第5期36卷 479-494页

作者： Jian RAO Rongcai REN Haishan CHEN Xiangwen LIU Yueyue YU Yang YANG 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 Technology State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric Physics Chinese Academy of Sciences Fredy and Nadine Herrmann Institute of Earth Sciences The Hebrew University of Jerusalem Edmond J.Safra Campus Climate Model Division National Climate Center China Meteorological Administration Institute of Urban Meteorology China Meteorological Administration

This study focuses on model predictive skill with respect to stratospheric sudden warming(SSW) events by comparing the hindcast results of BCC_CSM1.1(m) with those of the ECMWF's model under the sub-seasonal to seasonal prediction project of the World Weather Research Program and World Climate Research Program. When the hindcasts are initiated less than two weeks before SSW onset, BCC_CSM and ECMWF show comparable predictive skill in terms of the temporal evolution of the stratospheric circumpolar westerlies and polar temperature up to 30 days after SSW onset. However, with earlier hindcast initialization, the predictive skill of BCC_CSM gradually decreases, and the reproduced maximum circulation anomalies in the hindcasts initiated four weeks before SSW onset replicate only 10% of the circulation anomaly intensities in observations. The earliest successful prediction of the breakdown of the stratospheric polar vortex accompanying SSW onset for BCC_CSM(ECMWF) is the hindcast initiated two(three) weeks earlier. The predictive skills of both models during SSW winters are always higher than that during non-SSW winters, in relation to the successfully captured tropospheric precursors and the associated upward propagation of planetary waves by the model initializations. To narrow the gap in SSW predictive skill between BCC_CSM and ECMWF, ensemble forecasts and error corrections are performed with BCC_CSM. The SSW predictive skill in the ensemble hindcasts and the error corrections are improved compared with the previous control forecasts.

关键词： sub-seasonal to seasonal(S2S)hindcast stratospheric sudden warming BCC_CSM ensemble forecast error correction

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Fourth Hankel Determinant for a Subclass of Starlike Functions Based on Modified Sigmoid

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Journal of Function Spaces 2021年第1期2021卷

作者： Mashwani, Wali Khan Ahmad, Bakhtiar Khan, Nazar Khan, Muhammad Ghaffar Arjika, Sama Khan, Bilal Chinram, Ronnason Institute of Numerical Sciences Kohat University of Science and Technology Kohat Pakistan Govt. Degree College Mardan Mardan 23200 Pakistan Department of Mathematics Abbottabad University of Science and Technology Abbottabad 22010 Pakistan Department of Mathematics and Informatics University of Agadez Agadez Niger International Chair of Mathematical Physics and Applications (ICMPA-UNESCO Chair) University of Abomey-Calavi Post Box 072 50 Cotonou Benin School of Mathematical Sciences Shanghai Key Laboratory of PMMP East China Normal University 500 Dongchuan Road Shanghai 200241 China Algebra and Applications Research Unit Division of Computational Science Faculty of Science Prince of Songkla University Hat Yai Songkhla 90110 Thailand

In our present investigation, we obtain the improved third-order Hankel determinant for a class of starlike functions connected with modified sigmoid functions. Further, we investigate the fourth-order Hankel determinant, Zalcman conjecture, and also evaluate the fourth-order Hankel determinants for 2-fold, 3-fold, and 4-fold symmetric starlike functions. © 2021 Wali Khan Mashwani et al.

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Preface to Special Topic on Atmospheric Greenhouse Gas Measurement and Application in China

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Advances in Atmospheric sciences 2020年第6期37卷 555-556页

作者： Pengfei HAN Ning ZENG Bo YAO Weijian ZHOU Liqi CHEN Shaoqiang WANG Honggang LV Wei XIAO Lingyun ZHU Jiaping XU State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Department of Atmospheric and Oceanic Science University of MarylandCollege ParkMD 20742USA Meteorological Observation Centre of China Meteorological Administration Beijing 100081China Institute of Earth Environment Chinese Academy of SciencesXi’an 710061China Third Institute of Oceanography Ministry of Natural ResourcesXiamen 361005China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China National Marine Environment Forecasting Center Beijing 100081China Nanjing University of Information Science&Technology Nanjing 210044China Shanxi Institute of Meteorological Sciences Taiyuan 030002China Jiangsu Institute of Meteorological Sciences Nanjing 210009China

China initiated a national carbon trading market in December *** and actions to reduce greenhouse gas(GHG)emissions require consistent,reliable and timely information on GHG *** monitoring and modeling studies provide GHG emission estimates to evaluate and guide progress towards emission *** monitoring has mainly focused on global-scale background networks over the last few decades,while recent efforts have been made on regional and urban scales,such as projects in the Beijing-Tianjin-Hebei city cluster,in Paris,Washington-Baltimore.

关键词： national market city cluster

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Automatic MHT Method Based on Target Characteristics Applied in the Small Space Targets

Automatic MHT Method Based on Target Characteristics Applied...

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2018 3rd International Conference on Design, Mechanical and Material Engineering (D2ME 2018)

作者： Qian ZHAO Zhenhong NIU Lian XUE Xin LIU Jianhua LI Zhifeng LI National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics

The Multi-Hypothesis Tracking(MHT) method is one of the most promising approaches to realize automatic tracking of small and dim targets in complex space ***,the number of hypotheses generated by this algorithm has an exponentially increasing relationship with the number of trajectories,measurement data,and the number of image *** the paper,the automatic detection and tracking method of judging the confidence coefficient of the trajectory obtained by the MHT which is based on the characteristics of dim targets,has been realized in the IRST *** performance of this method is greatly improved.

关键词： image Automatic MHT Method Based on Target Characteristics Applied in the Small Space Targets MHT Target

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The Design of Large Arc-shape High-precision Walking Device in TV(thermal-vacuum) Conditions

The Design of Large Arc-shape High-precision Walking Device ...

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2018 3rd International Conference on Design, Mechanical and Material Engineering (D2ME 2018)

作者： Xue Lian Nan Hua Liu Jiaqi Liu Xin Meng Gang National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics

The large-sized space environmental simulation test facility is mainly used for providing thermal radiation environment in high-vacuum,cold and dark space for satellites,spacecraft,lunar spacecraft to carry out whole satellite thermal vacuum test and for large equipment like antenna to carry out tests in TV *** the spacecraft's surface optical image or temperature is a main task in space environment simulation *** previous tests,optical image test mainly took place in a fixed position,so the measuring location and angle are *** paper focuses on large spherical space environmental simulation test facility,and designs a large arc-shape high-precision walking device in a space environment simulation test *** introduces key technology in detail like structure design,thermal design,processes and manufacturing,*** test results show that this device can work steadily and reliably under simulation space environments,and the precision exceeds 0.5.

关键词： thermal-vacuum Conditions The Design of Large Arc-shape High-precision Walking Device in TV Arc

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Author Correction: Transverse oscillations and an energy source in a strongly magnetized sunspot

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Nature Astronomy 2024年 674页

作者： Ding Yuan Libo Fu Błażej Kuźma Xueshang Feng Wenda Cao Michaël Geeraerts Tom Van Doorsselaere Juan C. Trelles Arjona Carlos Quintero Noda Basilio Ruiz Cobo Kris Murawski Abhishek K. Srivastava Yuhu Miao Song Feng Jiangtao Su Institute of Space Science and Applied Technology Harbin Institute of Technology Shenzhen Guangdong China Key Laboratory of Solar Activity and Space Weather National Space Science Center Chinese Academy of Sciences Beijing China Shenzhen Key Laboratory of Numerical Prediction for Space Storm Harbin Institute of Technology Shenzhen Guangdong China Big Bear Solar Observatory New Jersey Institute of Technology Big Bear City CA USA Center for Solar-Terrestrial Research New Jersey Institute of Technology Newark NJ USA Centre for mathematical Plasma Astrophysics Mathematics Department KU Leuven Leuven Belgium Instituto de Astrofísica de Canarias (IAC) San Cristóbal de La Laguna Tenerife Spain Dept. Astrofísica Universidad de La Laguna San Cristóbal de La Laguna Tenerife Spain Institute of Physics University of M. Curie-Skłodowska Lublin Poland Department of Physics Indian Institute of Technology (BHU) Varanasi India School of Information and Communication Shenzhen Institute of Information Technology Shenzhen Guangdong China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming Yunnan China National Astronomical Observatories Chinese Academy of Sciences Beijing China School of Astronomy and Space Sciences University of Chinese Academy of Sciences Beijing China

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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 Typhoon Warning *** results show that the predictability limit of all TC tracks over the whole western North Pacific(WNP)basin is about 102 h,and the average lifetime of all TC tracks is about 174 *** predictability limits of the TC tracks for short-,medium-,and long-lived TCs are approximately 72 h,120 h,and 132 h,*** predictability limit of the TC tracks depends on the TC genesis location,lifetime,and intensity,and further analysis indicated that these three metrics are closely *** more intense and longer-lived TCs tend to be generated on the eastern side of the WNP(EWNP),whereas the weaker and shorter-lived TCs tend to form in the west of the WNP(WWNP)and the South China Sea(SCS).The relatively stronger and longer-lived TCs,which are generated mainly in the EWNP,have a longer travel time before they curve northeastwards and hence tend to be more predictable than the relatively weaker and shorter-lived TCs that form in the WWNP region and ***,the results show that the predictability limit of the TC tracks obtained from the best-track data may be underestimated due to the relatively short observational records currently *** work is needed,employing a numerical model to assess the predictability of TC tracks.

关键词： predictability tropical cyclone tracks nonlinear local Lyapunov exponent

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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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