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| 1 | Integration, Quality Assurance, and Usage of Global Aircraft Observations in CRA显示文摘This paper presents a detailed description of integration, quality assurance procedure, and usage of global aircraft observations for China's first generation global atmospheric reanalysis(CRA) product(1979–2018). An integration method named 'classified integration' is developed. Aircraft observations from nine different sources are integrated into the Integrated Global Meteorological Observation Archive from Aircraft(IGMOAA), a new dataset from the National Meteorological Information Center(NMIC) of the China Meteorological Administration(CMA). IGMOAA consists of global aircraft temperature, wind, and humidity data from the surface to 100 h Pa, extending from 1973 to the present. Compared with observations assimilated in the Climate Forecast System Reanalysis(CFSR) of NCEP,the observation number of IGMOAA increased by 12.9% between 2010 and 2014, mainly as a result of adding more Chinese Aircraft Meteorological Data Relay(AMDAR) data. Complex quality control procedures for aircraft observations of NCEP are applied to detect data errors. Observations are compared with ERA-Interim reanalysis from 1979 to 2018 to investigate data quality of different types and aircraft, and subsequently to develop the blacklists for CRA. IGMOAA data have been assimilated in CRA in 2018 and are real-time updated at the CMA Data-as-a-Service(CMADaa S) platform. For CRA, the fits to observations improve over time. From 1994 to 2018, root-meansquare error(RMSE) of observations relative to CRA background decreases from 1.8 to 1.0℃ for temperature above 300 h Pa, and from 4.5 to 3 m s^(-1) for zonal wind. The RMSE for humidity appears to exhibit an apparent seasonal variation with larger errors in summer and smaller ones in winter. | Jie LIAO Huiying WANG Zijiang ZHOU Zhiquan LIU Lipeng JIANG Fang YUAN | 2021 | Journal of Meteorological Research2021，35，1： | 6 |
| 2 | CRA-40/Atmosphere—The First-Generation Chinese Atmospheric Reanalysis(1979–2018):System Description and Performance Evaluation显示文摘Atmospheric reanalysis reproduces the past atmospheric conditions through assimilation of historical meteorological observations with fixed version of a numerical weather prediction(NWP)model and data assimilation(DA)system.It is widely used in weather,climate,and even business-related research and applications.This paper reports the development of CMA’s first-generation global atmospheric reanalysis(RA)covering 1979–2018(CRA-40;CRA refers to CMA-RA).CRA-40 is produced by using the Global Spectral Model(GSM)/Gridpoint Statistical Interpolation(GSI)at a 6-h time interval and a TL574 spectral(34-km)resolution with the model top at 0.27 hPa.A large number of reprocessed satellite data and widely collected conventional observations were assimilated during the reanalyzing process,including the reprocessed atmospheric motion vector(AMV)products from FY-2C/D/E/G satellites,dense conventional observations(at about 120 radiosonde and 2400 synoptic stations)over China,as well as MWHS-2 and GNSS-RO observations from FY-3C.The reanalysis fitting to observations is improved over time,especially for surface pressure with root-mean-square error reduced from 1.05 hPa in 1979 to 0.8 hPa,and for upper air temperature from 1.65 K in 1979 to 1.35 K,in 2018.The patterns of global analysis increments for temperature,specific humidity,and zonal wind are consistent with the changes in the observing system.Near surface temperature from the model’s 6-h forecast reflects the global warming trend reasonably.The CRA-40 precipitation pattern matches well with those of GPCP and other reanalyses.CRA-40 also successfully captures the QBO and its vertical and temporal development,hemispherical atmospheric circulation change,and moisture transport by the East Asian summer monsoon.CRA is now operationally running in near real time as a climate data assimilation system in CMA. | Zhiquan LIU Lipeng JIANG Chunxiang SHI Tao ZHANG Zijiang ZHOU Jie LIAO Shuang YAO Jingwei LIU Minyan WANG Huiying WANG Xiao LIANG Zhisen ZHANG Yan YAO Ting ZHU Zhe CHEN Wenhui XU Lijuan CAO Hui JIANG Kaixi HU | 2023 | Journal of Meteorological Research2023，37，1： | 4 |
| 3 | Characteristics of Ambient Air Quality in the Central Urban Area of Western Guizhou in the Past Five Years显示文摘Air is an important condition for human activities and survival,and its quality is closely related to the quality of life and level of health for the people.In recent years,the problem caused by air quality has become one of the main problems that endanger human health and restrict economic development,which has been widely concerned.In this paper,the air quality status and its changing trend were analyzed by using the methods of the comprehensive index of ambient air quality and Spearman s rank correlation coefficient,based on the hourly pollutant concentration data of five national ambient air quality monitoring stations in the central urban area of Liupanshui City,Guizhou Province from January 1,2015 to December 31,2019.The results showed that the concentration of air pollutants in the atmosphere in the past five years showed a downward trend in the central urban area of Liupanshui City.During 2018-2019,the air quality has been up to the standard for two consecutive years,and it was developing to a higher quality direction.The air quality was better in summer half year than in winter half year.In one year,the air quality was the best in June and the worst in February.The air quality was the best at 07:00 and the worst at 21:00 every day.The air quality in the east and the west of the city was better than that in the middle.In most years,the activities,making and burning paper to resemble money as an offering sacrifices to gods or ancestors in Zhongyuan Festival,caused serious pollution. | Shihua JIANG Zaixiang CHI Kai XU Lijuan LIU Zijiang YANG Changwen CHEN | 2020 | Meteorological and Environmental Research2020，11，6： | 1 |
| 4 | Comparative Analysis of Antioxidants in Hippophae rhamnoides L. Leaves by UPLC显示文摘[Objectives]The research aimed to compare antioxidation abilities of different extraction phases of Hippophae rhamnoides L. leaves extract and find its active marker. [Methods] H. rhamnoides L. leaves were extracted firstly by 75% of ethanol,and then were extracted by petroleum ether,chloroform,ethyl acetate and n-butanol in turn after decompression concentration. Via DPPH and ABTS^+ radical scavenging experiments and Fe^(3+) reduction experiment,antioxidation activity of each phase was evaluated. And chemical compositions related to its antioxidation activity were determined by using UPLC for qualitative identification. [Results] Antioxidation activity sequence of each phase was ethyl acetate phase≈n-butanol phase > alcohol extract of raw material > water phase > chloroform phase > petroleum ether phase. 33 kinds of chemical compositions were isolated from alcohol extract and extracts by using UPLC. [Conclusions] UPLC and antioxidation activity test were used simultaneously to analyze alcohol extract and extracts of H. rhamnoides L. leaves,which could fast and accurately determine extraction phase with the strongest antioxidation ability. The research is significant to study active ingredients and mechanism of antioxidation from H. rhamnoides L. leaves. | Xuan LIU Zijiang YANG Dingqiao CHEN Zhifeng ZHANG | 2017 | Medicinal Plant2017，8，5： | 1 |
| 5 | Band degeneracy enhanced thermoelectric performance in layered oxyselenides by first-principles calculations显示文摘Band degeneracy is effective in optimizing the power factors of thermoelectric(TE)materials by enhancing the Seebeck coefficients.In this study,we demonstrate this effect in model systems of layered oxyselenide family by the density functional theory(DFT)combined with semi-classical Boltzmann transport theory.TE transport performance of layered LaCuOSe and BiCuOSe are fully compared.The results show that due to the larger electrical conductivities caused by longer electron relaxation times,the n-type systems show better TE performance than p-type systems for both LaCuOSe and BiCuOSe.Besides,the conduction band degeneracy of LaCuOSe leads to a larger Seebeck coefficient and a higher optimal carrier concentration than n-type BiCuOSe,and thus a higher power factor.The optimal figure of merit(ZT)value of 1.46 for n-type LaCuOSe is 22%larger than that of 1.2 for n-type BiCuOSe.This study highlights the potential of wide band gap material LaCuOSe for highly efficient TE applications,and demonstrates that inducing band degeneracy by cations substitution is an effective way to enhance the TE performance of layered oxyselenides. | Ning Wang Menglu Li Haiyan Xiao Zhibin Gao Zijiang Liu Xiaotao Zu Sean Li Liang Qiao | 2021 | npj Computational Materials2021，，1： | 1 |
| 6 | Prediction of Se|e- noprotein T Structure and Its Response to Selenium Defi- ciency in Chicken Immune Organs 显示文摘 | You Lu Liu Ci Yang Zijiang | 2014 | Biological Trace Element Research2014，160，2： | 1 |
| 7 | Analysis on Agrometeorological Conditions of Production of Winter Wheat and Rape Crops in Western Guizhou in 2019显示文摘Whole growth period of winter wheat and rape crops in western Guizhou in 2019 was from October of 2019 to early May of 2020.Using daily temperature,rainfall and sunshine hours of three national meteorological observatories(Shuicheng,Panzhou and Liuzhi)of western Guizhou,the impact of meteorological conditions on growth and development of winter wheat and rape crops was analyzed.The results showed that average temperature in whole growth period of winter wheat and rape crops in western Guizhou in 2019 was between 11.1 and 13.0℃,which was 0.4-1.6℃higher than that in the same period of common year.Rainfall was between 276.0 and 309.0 mm.When compared with that in the same period of common year,rainfall was 7%-22%less in other regions except in Panzhou(1%more).Sunshine hours was between 689.2 and 1091.2 h.When compared with that in the same period of common year,sunshine hours was 14%-26%more in other regions except in Shuicheng(equal).In growth period of winter wheat and rape crops,there was good heat condition and sufficient sunshine,and rainfall was normal and slightly less,but it was mostly sunny and rainy alternating,which was favorable for the growth of crop root.During growth period of crops,there was lighter meteorological disaster.It was clear that meteorological conditions were conducive to the growth and development of winter wheat and rape crops in 2019. | Lijuan LIU Zaixiang CHI Yan PENG Zijiang YANG Yanlin XIAO Ruyong LONG | 2020 | Meteorological and Environmental Research2020，11，4： | 0 |
| 8 | Software structure evaluation based on the interaction and encapsulation of methods显示文摘Software structure is the most important factor affecting the quality of a program.The evaluation of software structure is a foundational technique for software development.However,the traditional evaluation criteria,such as 'high cohesion and low coupling',are no longer appropriate for the new web applications,which are designed with a hierarchical framework.A novel approach is proposed in this paper to evaluate software quality based on the interaction and encapsulation of methods.In particular,two criteria for high quality software,the functional and hierarchical structure,are proposed to support widely used web applications.The cohesion and coupling and layer matching ratios between methods within a software package are calculated to determine whether the package is well implemented in terms of functional or hierarchical structure.This approach enables us to quantify the quality of a software system according to the structural types of its packages.Experiments were carried out on 18 versions of Struts and six open-source software packages.Our evaluation concurs with the intuition that minor upgrades,aimed at fixing bugs and adding minor functionality quickly,reduce software quality,whereas major upgrades,which normally clean up messy code and re-construct the software,improve software quality. | ZHENG QingHua OU ZhiJiang LIU Ting YANG ZiJiang HOU YuQiao ZHENG Chao | 2012 | Science China(Information Sciences)2012，55，12： | 0 |
| 9 | Frustration recognition from speech during game interaction using wide residual networks显示文摘Background Although frustration is a common emotional reaction while playing games,an excessive level of frustration can negatively impact a user's experience,discouraging them from further game interactions.The automatic detection of frustration can enable the development of adaptive systems that can adapt a game to a user's specific needs through real-time difficulty adjustment,thereby optimizing the player's experience and guaranteeing game success.To this end,we present a speech-based approach for the automatic detection of frustration during game interactions,a specific task that remains under explored in research.Method The experiments were performed on the Multimodal Game Frustration Database(MGFD),an audiovisual dataset-collected within the Wizard-of-Oz framework-that is specially tailored to investigate verbal and facial expressions of frustration during game interactions.We explored the performance of a variety of acoustic feature sets,including Mel-Spectrograms,Mel Frequency Cepstral Coefficients(MFCCs),and the low-dimensional knowledge-based acoustic feature set eGeMAPS.Because of the continual improvements in speech recognition tasks achieved by the use of convolutional neural networks(CNNs),unlike the MGFD baseline,which is based on the Long Short Term Memory(LSTM)architecture and Support Vector Machine(SVM)classifier-in the present work,we consider typical CNNs,including ResNet,VGG,and AlexNet.Furthermore,given the unresolved debate on the suitability of shallow and deep networks,we also examine the performance of two of the latest deep CNNs:WideResNet and EfficientNet.Results Our best result,achieved with WideResNet and Mel-Spectrogram features,increases the system performance from 58.8%unweighted average recall(UAR)to 93.1%UAR for speech-based automatic frustration recognition. | Meishu SONG Adria MALLOL-RAGOLTA Emilia PARADA-CABALEIRO Zijiang YANG Shuo LIU Zhao REN Ziping ZHAO Björn WSCHULLER | 2021 | Virtual Reality & Intelligent Hardware2021，3，1： | 0 |
| 10 | Understanding the hydrogen evolution reaction activity of doped single-atom catalysts on two-dimensional GaPS_(4) by DFT and machine learning显示文摘As a zero-carbon fuel,hydrogen can be produced via electrochemical water splitting using clean electric energy by the hydrogen evolution reaction(HER)process.The ultimate goal of HER catalyst is to replace the expensive Pt metal benchmark with a cheap one with equivalent activities.In this work,we investigated the possibility of HER process on single-atom catalysts(SACs)doped on two-dimensional(2D)GaPS_(4)materials,which have a large intrinsic band gap that can be regulated by doping and tensile strain.Based on the machine learning regression analysis,we can expand the prediction of HER performance to more catalysts without expensive DFT calculation.The electron affinity and first ionization energy are the two most important descriptors related to the HER behavior.Furthermore,constrain molecular dynamics with solvation models and constant potentials were applied to understand the dynamics barrier of HER process of Pt SAC on GaPS_(4)materials.These findings not only provide important insights into the catalytic properties of single-atom catalysts on GaPS_(4)2D materials,but also provides theoretical guidance paradigm for exploration of new catalysts. | Tianyun Liu Xin Zhao Xuefei Liu Wenjun Xiao Zijiang Luo Wentao Wang Yuefei Zhang Jin-Cheng Liu | 2023 | Journal of Energy Chemistry2023，，6： | 0 |
| 11 | A chromosome-level genome assembly for Erianthus fulvus provides insights into its biofuel potential and facilitates breeding for improvement of sugarcane显示文摘Erianthus produces substantial biomass,exhibits a good Brix value,and shows wide environmental adaptability,making it a potential biofuel plant.In contrast to closely related sorghum and sugarcane,Erianthus can grow in degraded soils,thus releasing pressure on agricultural lands used for biofuel production.However,the lack of genomic resources for Erianthus hinders its genetic improvement,thus limiting its potential for biofuel production.In the present study,we generated a chromosome-scale reference genome for Erianthus fulvus Nees.The genome size estimated by flow cytometry was 937 Mb,and the assembled genome size was 902 Mb,covering 96.26%of the estimated genome size.A total of 35065 proteincoding genes were predicted,and 67.89%of the genome was found to be repetitive.A recent wholegenome duplication occurred approximately 74.10 million years ago in the E.fulvus genome.Phylogenetic analysis showed that E.fulvus is evolutionarily closer to S.spontaneum and diverged after S.bicolor.Three of the 10 chromosomes of E.fulvus formed through rearrangements of ancestral chromosomes.Phylogenetic reconstruction of the Saccharum complex revealed a polyphyletic origin of the complex and a sister relationship of E.fulvus with Saccharum sp.,excluding S.arundinaceum.On the basis of the four amino acid residues that provide substrate specificity,the E.fulvus SWEET proteins were classified as monoand disaccharide sugar transporters.Ortho-QTL genes identified for 10 biofuel-related traits may aid in the rapid screening of E.fulvus populations to enhance breeding programs for improved biofuel production.The results of this study provide valuable insights for breeding programs aimed at improving biofuel production in E.fulvus and enhancing sugarcane introgression programs. | Ling Kui Aasim Majeed Xianhong Wang Zijiang Yang Jian Chen Lilian He Yining Di Xuzhen Li Zhenfeng Qian Yinming Jiao Guoyun Wang Lufeng Liu Rong Xu Shujie Gu Qinghui Yang Shuying Chen Hongbo Lou Yu Meng Linyan Xie Fu Xu Qingqing Shen Amit Singh Karl Gruber Yunbing Pan Tingting Hao Yang Dong Fusheng Li | 2023 | Plant Communications2023，4，4： | 0 |
| 12 | Bias Adjustment and Analysis of Chinese Daily Historical Radiosonde Temperature Data显示文摘The discontinuities in historical Chinese radiosonde datasets are attributed to artificial errors. In order to reflect more realistically basic conditions of the atmosphere over China and provide more reasonable radiosonde data as input to climate change analysis and to atmospheric reanalysis data assimilation systems, this paper proposes a scheme to identify breakpoints and adjust biases in daily radiosonde observations. The ongoing ECMWF Re Analysis-Interim(ERA-Interim) 12-h forecasts are used as reference series in the scheme, complemented by the ECMWF Twentieth Century Reanalysis(ERA-20 C). A series of breakpoint identification schemes are developed and combined with metadata to detect breakpoints. The Quantile-Matching(QM) method is applied to test and adjust daily radiosonde data on 12 mandatory pressure levels collected at 80 sounding stations during 1979–2013. The adjusted temperatures on mandatory levels are interpolated to significant levels for temperature adjustment on these levels. The adjustment scheme not only solves the data discontinuity problem caused by changes in observational instruments and bias correction methods, but also solves the discontinuity problem in the 1200 minus 0000 UTC temperature time series on mandatory levels at individual sounding stations. Before the adjustment, obvious discontinuities can be found in the deviation field between the raw radiosonde data and ERA-Interim reanalysis with relatively large deviations before 2001. The deviation discontinuity is mainly attributed to the nationwide upgrade of the radiosonde system in China around 2001. After the adjustment, the time series of deviations becomes more continuous. In addition, compared with the adjusted temperature data on mandatory levels over 80 radiosonde stations in China contained in the Radiosonde Observation Correction Using Reanalyses(RAOBCORE) 1.5, the dataset adjusted by the method proposed in the present study exhibits higher quality than RAOBCORE 1.5, while discontinuities still exist in the time series of temperature at 0000, 1200, and 1200 minus 0000 UTC in RAOBCORE 1.5. | Zhe CHEN Zijiang ZHOU Zhiquan LIU Qinglei LI Xiaoling ZHANG | 2021 | Journal of Meteorological Research2021，35，1： | 0 |
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