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Assimilating FY-4A AGRI Radiances with a Channel-Sensitive Cloud Detection Scheme for the Analysis and Forecasting of Multiple Typhoons

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Advances in Atmospheric Sciences 2024年第5期41卷 937-958页

作者： feifei shen Aiqing SHU Zhiquan LIU Hong LI Lipeng JIANG Tao ZHANG Dongmei XU Key Laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China Shanghai Typhoon Institute China Meteorological AdministrationShanghai 200030China China Meteorological Administration Basin Heavy Rainfall Key Laboratory/Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research Institute of Heavy RainChina Meteorological AdministrationWuhan 430205China National Center for Atmospheric Research Boulder 80307COUSA State Key Laboratory of Severe Weather Chinese Academy of Meteorological SciencesBeijing 100081China National Meteorological Information Center Beijing 100081China Fujian Key Laboratory of Severe Weather and Key Laboratory of Straits Severe Weather China Meteorological AdministrationFuzhou 350001China

This paper presents an attempt at assimilating clear-sky FY-4A Advanced Geosynchronous Radiation Imager(AGRI)radiances from two water vapor channels for the prediction of three landfalling typhoon events over the West Pacific Ocean using the 3DVar data assimilation(DA)method along with the WRF model.A channel-sensitive cloud detection scheme based on the particle filter(PF)algorithm is developed and examined against a cloud detection scheme using the multivariate and minimum residual(MMR)algorithm and another traditional cloud mask–dependent cloud detection scheme.Results show that both channel-sensitive cloud detection schemes are effective,while the PF scheme is able to reserve more pixels than the MMR scheme for the same channel.In general,the added value of AGRI radiances is confirmed when comparing with the control experiment without AGRI radiances.Moreover,it is found that the analysis fields of the PF experiment are mostly improved in terms of better depicting the typhoon,including the temperature,moisture,and dynamical conditions.The typhoon track forecast skill is improved with AGRI radiance DA,which could be explained by better simulating the upper trough.The impact of assimilating AGRI radiances on typhoon intensity forecasts is small.On the other hand,improved rainfall forecasts from AGRI DA experiments are found along with reduced errors for both the thermodynamic and moisture fields,albeit the improvements are limited.

关键词： FY-4A AGRI radiance particle filter multiple typhoons data assimilation numerical weather prediction

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Effect of reduction pretreatment on the structure and catalytic performance of Ir-In_(2)O_(3)catalysts for CO_(2) hydrogenation to methanol

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Journal of Environmental Sciences 2024年第6期140卷 2-11页

作者： Changyu Ding feifei Yang Xue Ye Chongya Yang Xiaoyan Liu Yuanlong Tan Zheng shen Hongmin Duan Xiong Su Yanqiang Huang CAS Key Laboratory of Science and Technology on Applied Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China University of Chinese Academy of Sciences Beijing 100049China

In_(2)O_(3)has been found a promising application in CO_(2)hydrogenation to methanol,which is beneficial to the utilization of CO_(2).The oxygen vacancy(O_(v))site is identified as the catalytic active center of this reaction.However,there remains a great challenge to understand the relations between the state of oxygen species in In_(2)O_(3)and the catalytic performance for CO_(2)hydrogenation to methanol.In the present work,we compare the properties of multiple In_(2)O_(3)and Ir-promoted In_(2)O_(3)(Ir-In_(2)O_(3))catalysts with different Ir loadings and after being pretreated under different reduction temperatures.The CO_(2)conversion rate of Ir-In_(2)O_(3)is more promoted than that of pure In_(2)O_(3).With only a small amount of Ir loading,the highly dispersed Ir species on In_(2)O_(3)increase the concentration of O_(v)sites and enhance the activity.By finely tuning the catalyst structure,Ir-In_(2)O_(3)with an Ir loading of 0.16 wt.%and pre-reduction treatment under 300℃exhibits the highest methanol yield of 146 mgCH_(3)OH/(gcat·hr).Characterizations of Raman,electron paramagnetic resonance,X-ray photoelectron spectroscopy,CO_(2)-temperature programmed desorption and CO_(2)-pulse adsorption for the catalysts confirm that more O_(v)sites can be generated under higher reduction temperature,which will induce a facile CO_(2)adsorption and desorption cycle.Higher performance for methanol production requires an adequate dynamic balance among the surface oxygen atoms and vacancies,which guides us to find more suitable conditions for catalyst pretreatment and reaction.

关键词： Carbon dioxide Hydrogenation Methanol In_(2)O_(3) Fixed-bed Reduction temperature

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A stochastic reconstruction strategy based on a stratified library of structural descriptors and its application in the molecular reconstruction of naphtha

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Chinese Journal of Chemical Engineering 2022年第11期51卷 153-167页

作者： Guangyao Zhao Minglei Yang Wenli Du feifei shen Feng Qian Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Molecular reconstruction is a rapid and reliable way to provide molecular detail of petroleum fractions,which is required in the kinetic modeling of petroleum conversation processes at the molecular level.In the typical stochastic reconstruction method,the estimation of properties of pseudo molecules that are generated by Monte Carlo sampling depends on the building of predefined molecular libraries,which is expensive and inaccessible for certain petroleum fractions.In this paper,a novel stochastic reconstruction strategy is proposed,which is based on a stratified library of structural descriptors.Properties of pseudo molecules generated in the novel strategy can be directly estimated by group contribution method in the condition of lacking predefined molecular libraries.In this strategy,the molecular building diagram comprises two steps.First,the ring structure is configured by determining the number of rings.Different from the length of chain adopted in the traditional stochastic reconstruction method,in the second step,number of structural descriptors(SDs)for binding site and chain were determined sequentially for the configuration of binding site and saturated acyclic hydrocarbon chain.These structural descriptors for binding site and chain were selected from group contribution methods.To count the number of partial overlapping sections between structural descriptors for chain,two supplementary structural descriptors were created.All possible saturated structures of hydrocarbon chains can be represented by structural descriptors at the scale of property estimation.This strategy separates the building of a predefined molecule library from the stochastic reconstruction process.The exact structures of pseudo molecules represented by structural descriptors in this work can be determined with sufficient chemical knowledge.Fifty naphtha samples are tested independently to demonstrate the performance of the proposed strategy and the results show that the estimated properties were close enough to the experimental val

关键词： Novel stochastic reconstruction strategy Stratified library of structural descriptors Group contribution method

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高质量发展视域下的中文科技期刊论文更正特征分析

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中国科技期刊研究 2024年第4期35卷 454-460页

作者：沈菲飞巢湖学院工商管理学院安徽省巢湖市238000

【目的】了解中文科技期刊的论文更正特征,为期刊高质量发展和净化学术环境提供参考。【方法】对2020-2022年发布在143种中文科技期刊上的448条论文更正进行统计,从收录情况、更正时滞、更正原因、下载及引用情况、错误严重程度等方面... 详细信息

【目的】了解中文科技期刊的论文更正特征,为期刊高质量发展和净化学术环境提供参考。【方法】对2020-2022年发布在143种中文科技期刊上的448条论文更正进行统计,从收录情况、更正时滞、更正原因、下载及引用情况、错误严重程度等方面进行分析,共涉及484篇论文。【结果】除维普数据库,论文及更正被知网、万方和期刊官网收录的比例都不高。更正平均时滞为256天。常见的错误主要出现在作者信息、基金信息和插图等方面。91.5%的论文更正的是轻微或较小错误。【结论】88.4%的论文更正责任主体是作者,加强自校就能大幅减少差错。期刊可通过更正规范、栏目化的制度产生倒逼效应,同时应拒绝不合理的更正。中文数据库要提高更正的易见性与可回溯性,加大对更正的收录力度并开放获取。

关键词：更正中文科技期刊论文错误高质量发展

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Mechanism of action of Balanophora involucrata polyphenolic compounds in the treatment of myocardial injury based on network pharmacology and molecular docking techniques

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Journal of Polyphenols 2024年第2期6卷 45-55页

作者： Shipeng Duan Ting Gao feifei Li Xuehan Li Haojun shen Fang Wang Xiaoshu Zhang Faculty of Functional Food and Wine Shenyang Pharmaceutical UniversityShenyang 110016China

The objective of this work was to investigate the mechanism of action of Balanophora involucrata polyphenolic compounds in the treatment of myocardial injury.In the present study,Balanophora involucrata was extracted by reﬂuxing 75%of ethanol.The obtained extract was extracted with petroleum ether,ethyl acetate and n-butanol respectively.And the ethyl acetate layer was separated.The extract was prepared by silica gel column chromatography,sephadex LH-20 elution and thin layer chromatography.After that,the Swiss target prediction database was utilized to obtain the targets of Balanophora involucrata,and the Genecards,OMIM and TTD databases were used to predict and screen the targets of Balanophora involucrata for the treatment of myocardial injury.The active ingredient-target network was constructed using Cytoscape software,and the PPI network was mapped using String database and Cytoscape software.GO bioprocess enrichment analysis and KEGG pathway enrichment analysis were performed by Metascape software to predict the mechanism of action.Molecular docking was performed in Discovery Studio 2016 client software to verify the binding of Balanophora involucrata polyphenols to key targets.In this study,six polyphenolic compounds were isolated from Balanophora involucrata.By GO enrichment analysis,1614 biological processes(BP),127 cellular compositions(CC),and 215 molecular functions(MF)were obtained;a total of 155 cross-targets were involved in the KEGG enrichment analysis.The PPI network showed that quercetin was the main active component of polyphenolic compounds against myocardial injury and that AKT1,EGFR,STAT3,SRC,ESR1,MMP9,HSP90AA1 and other related signals were associated with myocardial injury treatment.Finally,the multi-component-multi-target-multi-pathway action of Balanophora involucrata was concluded,which provided new ideas and methods for further research on the mechanism of action of Balanophora involucrata in myocardial injury.

关键词： Balanophora involucrata myocardial injury phenolic compounds network pharmacology molecular docking

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Assimilation of GPM Microwave Imager Radiance for Track Prediction of Typhoon Cases with the WRF Hybrid En3DVAR System

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Advances in Atmospheric Sciences 2021年第6期38卷 983-993页

作者： Dongmei XU feifei shen Jinzhong MIN Aiqing SHU The Key Laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province Chengdu 610225China

The impact of assimilating radiance data from the advanced satellite sensor GMI(GPM microwave imager)for typhoon analyses and forecasts was investigated using both a three-dimensional variational(3DVAR)and a hybrid ensemble-3DVAR method.The interface of assimilating the radiance for the sensor GMI was established in the Weather Research and Forecasting(WRF)model.The GMI radiance data are assimilated for Typhoon Matmo(2014),Typhoon Chan-hom(2015),Typhoon Meranti(2016),and Typhoon Mangkhut(2018)in the Pacific before their landing.The results show that after assimilating the GMI radiance data under clear sky condition with the 3DVAR method,the wind,temperature,and humidity fields are effectively adjusted,leading to improved forecast skills of the typhoon track with GMI radiance assimilation.The hybrid DA method is able to further adjust the location of the typhoon systematically.The improvement of the track forecast is even more obvious for later forecast periods.In addition,water vapor and hydrometeors are enhanced to some extent,especially with the hybrid method.

关键词： WRF model GMI microwave imager data typhoon data assimilation

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Assimilating All-sky Infrared Radiances from Himawari-8 Using the 3DVar Method for the Prediction of a Severe Storm over North China

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Advances in Atmospheric Sciences 2021年第4期38卷 661-676页

作者： Dongmei XU Zhiquan LIU Shuiyong FAN Min CHEN feifei shen The Key Laboratory of Meteorological Disaster Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing 210044China Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province Chengdu 610225China National Center for Atmos.Res. BoulderColorado80301USA Institute of Urban Meteorology China Meteorological AdministrationBeijing 100089China

Although radar observations capture storm structures with high spatiotemporal resolutions, they are limited within the storm region after the precipitation formed. Geostationary satellites data cover the gaps in the radar network prior to the formation of the precipitation for the storms and their environment. The study explores the effects of assimilating the water vapor channel radiances from Himawari-8 data with Weather Research and Forecasting model data assimilation system(WRFDA) for a severe storm case over north China. A fast cloud detection scheme for Advanced Himawari imager(AHI)radiance is enhanced in the framework of the WRFDA system initially in this study. The bias corrections, the cloud detection for the clear-sky AHI radiance, and the observation error modeling for cloudy radiance are conducted before the data assimilation. All AHI radiance observations are fully applied without any quality control for all-sky AHI radiance data assimilation. Results show that the simulated all-sky AHI radiance fits the observations better by using the cloud dependent observation error model, further improving the cloud heights. The all-sky AHI radiance assimilation adjusts all types of hydrometeor variables, especially cloud water and precipitation snow. It is proven that assimilating all-sky AHI data improves hydrometeor specifications when verified against the radar reflectivity. Consequently, the assimilation of AHI observations under the all-sky condition has an overall improved impact on both the precipitation locations and intensity compared to the experiment with only conventional and AHI clear-sky radiance data.

关键词： Himawari-8 data assimilation all-sky storm case

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Aerosol Data Assimilation Using Data from Fengyun-3A and MODIS:Application to a Dust Storm over East Asia in 2011

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Advances in Atmospheric Sciences 2019年第1期36卷 1-14页

作者： Xiaoli XIA Jinzhong MIN feifei shen Yuanbing WANG Chun YANG Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology

Aerosol optical depth(AOD) is the most basic parameter that describes the optical properties of atmospheric aerosols,and it can be used to indicate aerosol content. In this study, we assimilated AOD data from the Fengyun-3 A(FY-3 A) and MODIS meteorological satellite using the Gridpoint Statistical Interpolation three-dimensional variational data assimilation system. Experiments were conducted for a dust storm over East Asia in April 2011. Each 0600 UTC analysis initialized a24-h Weather Research and Forecasting with Chemistry model forecast. The results generally showed that the assimilation of satellite AOD observational data can significantly improve model aerosol mass prediction skills. The AOD distribution of the analysis field was closer to the observations of the satellite after assimilation of satellite AOD data. In addition, the analysis resulting from the experiment assimilating both FY-3 A/MERSI(Medium-resolution Spectral Imager) AOD data and MODIS AOD data had closer agreement with the ground-based values than the individual assimilation of the two datasets for the dust storm over East Asia. These results suggest that the Chinese FY-3 A satellite aerosol products can be effectively applied to numerical models and dust weather analysis.

关键词： MODIS 吸收系统喷雾器暴风雨灰尘东亚模型预报天气分析

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柔性运动侧线感知水下动态目标的耦合水动力场特性研究

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探测与控制学报 2024年第2期46卷 131-137页

作者：谢鸥孙兆光沈灿葛飞飞苏州科技大学机械工程学院江苏苏州215009

为实现柔性运动侧线感知水下动态目标,研究了仿鱼人工侧线与水下运动目标耦合形成的水动力场特性。采用计算流体动力学方法建立仿生机器鱼原地摆动感知目标偶极子源的耦合求解模型,仿真分析偶极子源位置、直径、振动方向和频率对耦合水... 详细信息

为实现柔性运动侧线感知水下动态目标,研究了仿鱼人工侧线与水下运动目标耦合形成的水动力场特性。采用计算流体动力学方法建立仿生机器鱼原地摆动感知目标偶极子源的耦合求解模型,仿真分析偶极子源位置、直径、振动方向和频率对耦合水动力场的影响关系。建立仿生机器鱼自主推进感知目标偶极子源的仿真模型,研究不同振动频率偶极子源的感知定位特性。结果表明:仿生机器鱼原地摆动时压力传感器阵列采集的压力值与距离成反比,与偶极子源直径、最大振幅以及振动频率成正比;仿生机器鱼自主推进时,可通过压力信号的频谱图预测偶极子源振动频率和位置。

关键词：柔性运动人工侧线偶极子源耦合水动力场

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先天性心脏病患儿介入术后严重不良事件风险预测模型的构建及验证

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中国临床护理 2024年第2期16卷 96-99,103页

作者：申飞飞湖南省儿童医院心内科长沙410007

目的构建先天性心脏病患儿心导管介入术后严重不良事件(serious adverse event,SAE)风险预测评分模型,并验证其预测效果。方法回顾性纳入2021年1月-2022年12月于湖南省儿童医院接受心导管介入术治疗的320例先心病患儿。将患儿按照7∶3... 详细信息

目的构建先天性心脏病患儿心导管介入术后严重不良事件(serious adverse event,SAE)风险预测评分模型,并验证其预测效果。方法回顾性纳入2021年1月-2022年12月于湖南省儿童医院接受心导管介入术治疗的320例先心病患儿。将患儿按照7∶3的比例随机分为模型组和验证组,即模型组224例,验证组96例。模型组按介入术后是否发生SAE分为SAE组(n=204)和非SAE组(n=20),对2组资料进行比较,根据Logistic回归分析结果建立风险预测模型。分别采用受试者工作特征曲线下面积(area under the curve,AUC)和Hosmer-Lemeshow(H-L)检验对模型的区分度和校准度进行评价。结果患儿介入术后发生SAE 28例,SAE发生率为8.75%。Logistic回归分析显示是否有心力衰竭病史、先天性心脏病严重程度、肺动脉高压程度、手术类型、麻醉方式以及N末端B型利钠肽原水平是先天性心脏病患儿心导管介入术后SAE的独立影响因素。基于以上因素构建风险预测模型,模型组、验证组模型ROC曲线下面积分别为0.935[95%CI(0.895,0.974)],0.907[95%CI(0.879,0.935)];H-L检验结果分别为χ2=3.846,P=0.797,χ2=4.456,P=0.814。结论基于影响因素构建的先心病患儿介入术后严重不良事件风险预测模型具有较高的预测价值,可作为临床医护人员识别高危先天性心脏病患儿的工具。

关键词：先天性心脏病介入术严重不良事件风险预测模型

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