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Understanding and improving Yangtze River Basin summer precipitation prediction using an optimal multi-Physics ensemble

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Frontiers of Earth Science 2024年第1期18卷 256-277页

作者： Yang ZHAO Fengxue QIAO Xin-Zhong LIANG jinhua yu Climate Environment and Sustainability CenterNanjing University of Information Science and TechnologyNanjing 210044China Key Laboratory of Geographic Information Science(Ministry of Education) East China Normal UniversityShanghai 200241China School of Geographic Sciences East China Normal UniversityShanghai 200241China Department of Atmospheric and Oceanic Science University of MarylandCollege Park MD 20740USA Earth System Science Interdisciplinary Center University of MarylandCollege Park MD 20740USA Key Laboratory of Meteorological Disaster(KLME)(Ministry of Education)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science and TechnologyNanjing 210044China

This study employs the regional Climate-Weather Research and Forecasting model(CWRF)to first investigate the primary physical mechanisms causing biases in simulating summer precipitation over the Yangtze River Basin(YRB),and then enhance its predictive ability through an optimal multi-physics ensemble *** CWRF 30-km simulations in China are compared among 28 combinations of varying physics parameterizations during 1980−***-term average summer biases in YRB precipitation are remotely correlated with those of large-scale *** teleconnections of biases are highly consistent with the observed correlation patterns between interannual variations of precipitation and circulations,despite minor shifts in their primary action *** YRB precipitation aligns with a southward shifted East Asian westerly jet,an intensified low-level southerly flow south of YRB,and a south-eastward shifted South Asian high,alongside higher moisture availability over ***,decreased YRB precipitation corresponds to an opposite circulation *** CWRF control configuration using the ensemble cumulus parameterization(ECP),compared to other cumulus schemes,best captures the observed YRB precipitation characteristics and associated circulation *** ECP with the Morrison or Morrison-aerosol microphysics and the CCCMA or CAML radiation schemes enhances the overall CWRF *** to the control CWRF,the ensemble average of these skill-enhanced physics configurations more accurately reproduces YRB summer precipitation’s spatial distributions,interannual anomalies,and associated circulation *** Bayesian Joint Probability calibration to these configurations improves the ensemble’s spatial distributions but compromises its interannual anomalies and teleconnection *** findings highlight substantial potential for refining the representation of climate system physics to improve YRB precipitation *** is notabl

关键词： physics parameterization regional climate model downscaling skill enhancement multi-physics ensemble teleconnection bias reduction

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Expert consensus on irrigation and intracanal medication in root canal therapy

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International Journal of Oral Science 2024年第1期16卷 26-35页

作者： Xiaoying Zou Xin Zheng yuhong Liang Chengfei Zhang Bing Fan Jingping Liang Junqi Ling Zhuan Bian Qing yu Benxiang Hou Zhi Chen Xi Wei Lihong Qiu Wenxia Chen Wenxi He Xin Xu Liuyan Meng Chen Zhang Liming Chen Shuli Deng Yayan Lei Xiaoli Xie Xiaoyan Wang jinhua yu Jin Zhao Song Shen Xuedong Zhou Lin yue Department of Cariology and Endodontology Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Laboratory for Digital and Material Technology of Stomatology&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental MaterialsBeijingChina Center of Stomatology Peking University HospitalBeijingChina State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&West China Hospital of Stomatology Sichuan UniversityChengduChina Department of Emergency Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Laboratory for Digital and Material Technology of Stomatology&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental MaterialsBeijingChina Restorative Dental Sciences EndodonticsFaculty of DentistryThe University of Hong KongPok Fu LamHong Kong SARChina State Key Laboratory of Oral&Maxillofacial Reconstruction and Regeneration Key Laboratory of Oral Biomedicine Ministry of EducationHubei Key Laboratory of StomatologySchool&Hospital of StomatologyWuhan UniversityWuhanChina Department of Endodontics Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineCollege of StomatologyShanghai Jiao Tong UniversityNational Clinical Research Center for Oral DiseasesNational Center for StomatologyShanghai Key Laboratory of StomatologyShanghaiChina Department of Operative Dentistry and Endodontics Hospital of StomatologyGuanghua School of StomatologySun Yat-Sen University&Guangdong Provincial Key Laboratory of StomatologyGuangzhouChina State Key Laboratory of Oral&Maxillofacial Reconstruction and R

Chemical cleaning and disinfection are crucial steps for eliminating infection in root canal treatment. However, irrigant selection or irrigation procedures are far from clear. The vapor lock effect in the apical region has yet to be solved, impeding irrigation efficacy and resulting in residual infections and compromised treatment outcomes.

关键词： treatment irrigation Expert

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土壤湿度-地表气温耦合对长江中下游地区2022年8月复合型热浪事件的影响

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地球物理学报 2024年第5期67卷 1709-1720页

作者：崔彩珍余锦华代刊云星娥南京信息工程大学气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心南京210044 国家气象中心北京100081

2022年8月长江中下游地区的复合型热浪给社会经济、人类健康、农业生产和自然环境等方面均造成了严重影响.本文利用国家信息中心提供的1979—2022年6—8月逐日最高、最低气温和欧洲中期天气预报中心再分析数据集的土壤湿度等资料,定义... 详细信息

2022年8月长江中下游地区的复合型热浪给社会经济、人类健康、农业生产和自然环境等方面均造成了严重影响.本文利用国家信息中心提供的1979—2022年6—8月逐日最高、最低气温和欧洲中期天气预报中心再分析数据集的土壤湿度等资料,定义了复合型热浪事件强度指数及其相应的土壤湿度-地表气温耦合指数,采用分段线性拟合等方法,探讨此次复合型热浪特征及土壤湿度-地表气温耦合的影响.结果表明:(1)2022年8月长江中下游地区的复合型热浪事件强度为1979年以来最强,伴随最强的土壤湿度-地表气温耦合.空间分布显示,强的热浪发生在四川东部、重庆西部、湖南等地,这些区域的土壤湿度严重偏干,蒸发受限,获得的净辐射主要用于地表向上的感热通量,使土壤湿度-地表气温出现强的正反馈过程,对热浪的维持起重要作用.(2)复合型热浪中土壤湿度-地表气温耦合影响日间和夜间热浪的物理强迫及过程不同:日间,地表净太阳短波向下辐射增强的强迫作用,促使发生强的土壤湿度-地表气温耦合,引起日间热浪.夜间,白天积累在土壤的热量,通过减小大气热量通量辐散,使夜间地表气温下降减慢,形成夜间热浪,这与以往研究单独夜间热浪的过程不同,后者认为夜间热浪主要与大气柱水汽增加引起的大气逆辐射增强有关.

关键词：复合型热浪事件土壤湿度-地表气温耦合长江中下游地区

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Expert consensus on difficulty assessment of endodontic therapy

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International Journal of Oral Science 2024年第1期16卷 15-25页

作者： Dingming Huang Xiaoyan Wang Jingping Liang Junqi Ling Zhuan Bian Qing yu Benxiang Hou Xinmei Chen Jiyao Li Ling Ye Lei Cheng Xin Xu Tao Hu Hongkun Wu Bin Guo Qin Su Zhi Chen Lihong Qiu Wenxia Chen Xi Wei Zhengwei Huang jinhua yu Zhengmei Lin Qi Zhang Deqin Yang Jin Zhao Shuang Pan Jian Yang Jiayuan Wu Yihuai Pan Xiaoli Xie Shuli Deng Xiaojing Huang Lan Zhang Lin yue Xuedong Zhou State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&Department of Operative Dentistry and Endodontics West China Hospital of StomatologySichuan UniversityChengduChina Department of Cariology and Endodontology Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Laboratory for Digital and Material Technology of Stomatology&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental MaterialsBeijingChina Department of Endodontics Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineCollege of StomatologyShanghai Jiao Tong UniversityNational Clinical Research Center for Oral DiseasesNational Center for StomatologyShanghai Key Laboratory of StomatologyShanghaiChina Department of Operative Dentistry and Endodontics Hospital of StomatologyGuanghuaSchool of StomatologySun Yat-Sen University&Guangdong Provincial Key Laboratory of StomatologyGuangzhouChina The State Key Laboratory Breeding Base of Basic Science of Stomatology(Hubei-MOST)&Key Laboratory of Oral Biomedicine Ministry of Education School and Hospital of StomatologyWuhan UniversityWuhanChina Department of Operative Dentistry&Endodontics School of StomatologyThe Fourth Military Medical UniversityXi’anChina Department of Endodontics Beijing Stomatological HospitalSchool of StomatologyCapital Medical UniversityBeijingChina State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&Department of Preventive Dentistry West China Hospital of StomatologySichuan UniversityChengduChina State Key Laboratory of Oral Diseases&National Center for Stomatology&National Clinical Research Center for Oral Diseases&Department of Geriatric dentistry West China Hospital of Stomatology

Endodontic diseases are a kind of chronic infectious oral disease. Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha. However, it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy(RCT). Recent research, encompassing bacterial etiology and advanced imaging techniques, contributes to our understanding of the root canal system’s anatomy intricacies and the technique sensitivity of RCT. Success in RCT hinges on factors like patients, infection severity, root canal anatomy, and treatment techniques. Therefore, improving disease management is a key issue to combat endodontic diseases and cure periapical lesions. The clinical difficulty assessment system of RCT is established based on patient conditions, tooth conditions, root canal configuration, and root canal needing retreatment, and emphasizes pre-treatment risk assessment for optimal outcomes. The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT. These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

关键词： anatomy difficulty treatment

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5月南极涛动对青藏高原西部夏季气温影响的诊断分析

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气象 2024年第3期50卷 344-356页

作者：张宇李清泉余锦华沈新勇毕淼吴清源南京信息工程大学气象灾害教育部重点实验室/气候与环境变化国际合作联合实验室/气象灾害预报预警与评估协同创新中心南京210044 中国气象局气候预测研究重点开放实验室国家气候中心北京100081 南方海洋科学与工程广东省实验室(珠海) 珠海519082 中国气象局气候资源经济转化重点开放实验室重庆市气象科学研究所重庆401147

青藏高原是全球气候变暖最敏感的地区之一,是北半球夏季最大的热源,其气候响应受到广泛关注。然而,有关南极涛动与青藏高原夏季气温的关系和机理知之甚少。为了研究南极涛动与青藏高原夏季气温的关系,基于1979—2020年英国东安哥拉大学... 详细信息

青藏高原是全球气候变暖最敏感的地区之一,是北半球夏季最大的热源,其气候响应受到广泛关注。然而,有关南极涛动与青藏高原夏季气温的关系和机理知之甚少。为了研究南极涛动与青藏高原夏季气温的关系,基于1979—2020年英国东安哥拉大学气候研究中心(CRU)的逐月气温、美国国家海洋和大气管理局(NOAA)的逐月海表面温度和大气环流再分析数据以及南极涛动指数等数据,采用相关、回归、合成分析等方法进行研究。结果表明,北半球夏季青藏高原西部气温与5月南极涛动存在显著负相关,即当5月南极涛动异常偏弱时,夏季青藏高原西部气温异常偏高。其影响过程为,南极涛动为正位相时,在南印度洋中高纬地区出现“负-正-负”的经向“三极子”海温模态,该模态可持续到夏季,在印度洋形成异常的纬向-垂直环流,相应在热带西印度洋和东印度洋-海洋性大陆之间的降水异常导致热带正“偶极子”降水模态,通过该降水模态在青藏高原西部引起异常反气旋环流和下沉运动,有利于高原西部气温偏高。研究结果显示,海洋的热惯性在“延长”南极涛动影响过程中起着重要的桥梁作用,可为青藏高原夏季气温预测提供科学依据。

关键词：南极涛动青藏高原印度洋气温

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美国养老目标日期基金研究与启示

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债券 2024年第4期 36-40页

作者：鱼晋华倪煜凯南方基金宏观策略部

本文介绍了美国主流养老目标产品——目标日期基金的发展历程与市场现状,并从资产配置、标的选择、业绩表现等维度对不同竞争策略的头部基金进行了分析,以期为我国养老目标日期基金的发展提供参考。

关键词：养老金目标日期基金资产配置

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季节内振荡水汽收支对长江中下游持续性极端降水强度的调控作用

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热带气象学报 2024年第1期40卷 52-63页

作者：叶梦茜余锦华谢洁宏林巧美南京信息工程大学气象灾害教育部重点实验室/气象灾害预报预警与评估协同创新中心江苏南京210044 广东省广州生态环境监测中心站广东广州510006 揭阳市气象局广东揭阳522000

利用中国1979—2019年逐日降水格点数据,考量降水的时空聚集性强度之客观监测方法,识别中国东部区域极端降水事件,发现长江中下游是夏季持续3 d及以上区域持续性极端降水(PREP)发生最频繁的区域。以此为研究对象,基于水汽收支理论,利用E... 详细信息

利用中国1979—2019年逐日降水格点数据,考量降水的时空聚集性强度之客观监测方法,识别中国东部区域极端降水事件,发现长江中下游是夏季持续3 d及以上区域持续性极端降水(PREP)发生最频繁的区域。以此为研究对象,基于水汽收支理论,利用ERA-Interim再分析资料和带通滤波方法,诊断日降水及其水汽收支的季节内特征,研究关键尺度对流层高低空系统配置及演变。结果显示:PREP日降水强度及其演变被证实与区域大气柱水汽辐合量相一致。10~30 d准双同振荡(QBWO)和30~90 d(MJO)的水汽辐合在事件发生前1~3 d和7~9 d开始由负位相转为正位相。区域南、北边界QBWO(MJO)水汽输送在事件发生前2~4 d(9~10 d)由水汽输出转为输入。南海的QBWO对流北传至长江中下游,促使源于西北太平洋的对流层低层QBWO反气旋式环流系统向西南移动,其西北侧的西南风使区域南边界水汽输送在事件开始日达最大。事件发生前10 d左右,对流层低层MJO反气旋式环流系统出现在西北太平洋,并向西南移动,长江中下游气旋系统加强维持,对流层中层孟加拉湾MJO尺度低槽开始加深,三者的配合使区域南边界的MJO水汽输入逐渐增强并维持到事件发生后。MJO尺度的强水汽输入结合QBWO反气旋式环流促使长江中下游地区的持续性极端降水事件的发生。研究结果对持续性极端降水事件延伸期的预报提供参考。

关键词：区域持续性极端降水长江中下游时空聚集性强度季节内振荡水汽收支

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基于ASEB分析法的紫阳茶文化数字交互设计研究

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设计 2024年第5期37卷 16-19页

作者：俞瑾华李孟蔚西安理工大学艺术与设计学院

从交互设计角度出发,探索数字化交互对紫阳茶文化传播效果的影响,为茶文化传播方式提供新思路。采用ASEB栅格分析法分析紫阳茶陶博物馆现状,结合问卷调查法分析不同类型游客对茶文化的感知度和理解度,分析出最能深刻体会茶文化的数字交... 详细信息

从交互设计角度出发,探索数字化交互对紫阳茶文化传播效果的影响,为茶文化传播方式提供新思路。采用ASEB栅格分析法分析紫阳茶陶博物馆现状,结合问卷调查法分析不同类型游客对茶文化的感知度和理解度,分析出最能深刻体会茶文化的数字交互方式。结合紫阳茶文化特性,提出紫阳茶文化的数字交互设计策略。为紫阳博物馆提供更有利于茶文化传播的数字交互设计思路。

关键词： ASEB栅格分析法紫阳茶茶文化数字化交互设计

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Current trajectory image-based protection algorithm for transmission lines connected to MMC-HVDC stations using CA-CNN

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Protection and Control of Modern Power Systems 2023年第1期8卷 97-111页

作者： Yingyu Liang Yi Ren jinhua yu Wenting Zha School of Mechanical Electronic and Information Engineering China University of Mining and Technology(Beijing) Beijing 100083China

In the presence of an MMC-HVDC system,current differential protection(CDP)has the risk of failure in operation under an internal *** addition,CDP may also incur security issues in the presence of current transformer(CT)saturation and *** this paper,a current trajectory image-based protection algorithm is proposed for AC lines connected to MMC-HVDC stations using a convolution neural network improved by a channel attention mechanism(CA-CNN).Taking the dual differential currents as two-dimensional coordinates of the moving point,the moving-point trajectories formed by differential currents have significant differences under internal and external ***,internal faults can be identified using image recognition based on *** is improved by a channel attention mechanism,data augmentation,and adaptive learning *** comparison with other machine learning algorithms,the feature extraction ability and accuracy of CA-CNN are greatly *** fault conditions like different net-work structures,operation modes,fault resistances,outliers,and current transformer saturation,are fully considered to verify the superiority of the proposed protection *** results confirm that the proposed current trajectory image-based protection algorithm has strong learning and generalizability,and can identify internal faults reliably.

关键词： Channel attention mechanism Convolutional neural network(CNN) Differential current Current trajectory image Modular multilevel converter-based high voltage direct current(MMC-HVDC)

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Role of Anthropogenic Climate Change in Autumn Drought Trend over China from 1961 to 2014

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Journal of Meteorological Research 2022年第2期36卷 251-260页

作者： Xuyu ZHANG jinhua yu Laurent ZXLI Wei LI Key Laboratory of Meteorological Disaster Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science&TechnologyNanjing 210044China Laboratoire de Météorologie Dynamique Centre National de la Recherche ScientifiqueSorbonne UniversitéEcole Normale SupérieureEcole PolytechniqueParis 75252France

Understanding the impact of anthropogenic climate change on drought is of great significance to the prevention of its adverse *** drought indices,standardized precipitation index(SPI)and standardized precipitation evapotranspiration index(SPEI),are used here for the detection and attribution of autumn droughts in China,and for the exploration of the role played by the anthropogenic climate *** is only related to precipitation,but SPEI involves both precipitation and potential *** their trend’s spatial patterns,the historical simulations(including all forcings,noted as ALL)from 11 models of the Coupled Model Intercomparison Project phase 6,as an ensemble,are able to reproduce their observational *** shows wetting trend in the north of 35°N and drying trend in the *** shows drying trend in almost whole *** drying trend in historical simulations ALL is significantly stronger,compared with the counterpart from the accompanying simulations(called NAT)with only natural forcings *** result clearly indicates that anthropogenic climate change plays a dominant role in the enhancement of autumn drought in China.A more rigorous detection work is also performed with the signal’s fingerprint of ALL(and NAT)projected onto the observation and assessed with the background noise from no external-forcing control *** trend pattern signal in ALL is significantly detected in observation for both SPI and SPEI,with a more pronounced signal in SPEI than in SPI,while the signal of NAT is not detected for neither SPI nor ***,extreme droughts(with indices beyond-2)are assessed in terms of probability ratio between ALL and *** is shown that the anthropogenic precipitation change plays a leading role in the south of 35°N,while the anthropogenic temperature change leads in the north.

关键词： drought anthropogenic effect detection and attribution standardized precipitation index(SPI)and standardized precipitation evapotranspiration index(SPEI)

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