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| 1 | Forecasting Different Types of Convective Weather: A Deep Learning Approach显示文摘A deep learning objective forecasting solution for severe convective weather(SCW) including short-duration heavy rain(HR), hail, convective gusts(CG), and thunderstorms based on numerical weather prediction(NWP) data was developed. We first established the training datasets as follows. Five years of severe weather observations were utilized to label the NCEP final(FNL) analysis data. A large number of labeled samples for each type of weather were then selected for model training. The local temperature, pressure, humidity, and winds from 1000 to 200 h Pa, as well as dozens of convective physical parameters, were taken as predictors in our model. A six-layer convolutional neural network(CNN) model was then built and trained to obtain optimal model weights. After that, the trained model was used to predict SCW based on the Global Forecast System(GFS) forecast data as input. The performances of the CNN model and other traditional methods were compared. The results show that the deep learning algorithm had a higher classification accuracy on HR and hail than support vector machine, random forests, and other traditional machine learning algorithms. The objective forecasts by use of the deep learning algorithm also showed better forecasting skills than the subjective forecasts by the forecasters. The threat scores(TSs) of thunderstorm, HR, hail, and CG were increased by 16.1%, 33.2%, 178%, and 55.7%, respectively. The deep learning forecast model is currently used in the National Meteorological Center of China to provide guidance for the operational SCW forecasting over China. | Kanghui ZHOU Yongguang ZHENG Bo LI Wansheng DONG Xiaoling ZHANG | 2019 | Journal of Meteorological Research2019，33，5： | 12 |
| 2 | Quantitative Precipitation Forecast Experiment Based on Basic NWP Variables Using Deep Learning显示文摘The quantitative precipitation forecast(QPF)performance by numerical weather prediction(NWP)methods depends fundamentally on the adopted physical parameterization schemes(PS).However,due to the complexity of the physical mechanisms of precipitation processes,the uncertainties of PSs result in a lower QPF performance than their prediction of the basic meteorological variables such as air temperature,wind,geopotential height,and humidity.This study proposes a deep learning model named QPFNet,which uses basic meteorological variables in the ERA5 dataset by fitting a non-linear mapping relationship between the basic variables and precipitation.Basic variables forecasted by the highest-resolution model(HRES)of the European Centre for Medium-Range Weather Forecasts(ECMWF)were fed into QPFNet to forecast precipitation.Evaluation results show that QPFNet achieved better QPF performance than ECMWF HRES itself.The threat score for 3-h accumulated precipitation with depths of 0.1,3,10,and 20 mm increased by 19.7%,15.2%,43.2%,and 87.1%,respectively,indicating the proposed performance QPFNet improved with increasing levels of precipitation.The sensitivities of these meteorological variables for QPF in different pressure layers were analyzed based on the output of the QPFNet,and its performance limitations are also discussed.Using DL to extract features from basic meteorological variables can provide an important reference for QPF,and avoid some uncertainties of PSs. | Kanghui ZHOU Jisong SUN Yongguang ZHENG Yutao ZHANG | 2022 | Advances in Atmospheric Sciences2022，39，9： | 3 |
| 3 | Progress in Severe Convective Weather Forecasting in China since the 1950s显示文摘Located in the Asian monsoon region, China frequently experiences severe convective weather(SCW), such as short-duration heavy rainfall(SDHR), thunderstorm high winds, hails, and occasional tornadoes. Progress in SCW forecasting in China is closely related to the construction and development of meteorological observation networks,especially weather radar and meteorological satellite networks. In the late 1950 s, some county-level meteorological bureaus began to conduct empirical hail forecasting based on observations of clouds and surface meteorological variables. It took over half a century to develop a modern comprehensive operational monitoring and warning system for SCW forecast nationwide since the setup of the first weather radar in 1959. The operational SCW forecasting, including real-time monitoring, warnings valid for tens of minutes, watches valid for several hours, and outlooks covering lead times of up to three days, was established in 2009. Operational monitoring and forecasting of thunderstorms,SDHR, thunderstorm high winds, and hails have been carried out. The performance of operational SCW forecasting will be continually improved in the future with the development of convection-resolving numerical models(CRNMs), the upgrade of weather radar networks, the launch of new-generation meteorological satellites, better understanding of meso-γ and microscale SCW systems, and further application of artificial intelligence technology and CRNM predictions. | Xiaoling ZHANG Jianhua SUN Yongguang ZHENG Yuanchun ZHANG Ruoyun MA Xinlin YANG Kanghui ZHOU Xuqing HAN | 2020 | Journal of Meteorological Research2020，34，4： | 3 |
| 4 | Optimally sparse multidimensional representation using shearlets显示文摘 | Guo Kanghui Labate D | 2008 | SIAM Journal on Mathematical Analysis2008，39，1： | 1 |
| 5 | A note on a rough singular integral operator 显示文摘 | Guo Kanghui and Pan Yibiao | | preprint0，，： | 1 |
| 6 | Wavelets with composite dilations and their MRA properties显示文摘 | Kanghui Guo Demetrio Labate Wang-Q Lim Guido Weiss Edward Wilson | 2005 | Applied and Computational Harmonic Analysis2005，，2： | 1 |
| 7 | 西藏高原东部江达构造带成矿体系显示文摘通过深入研究江达构造带的构造演化及构造-成矿耦合关系,对江达构造带的成矿规律进行了初步研究,提出其经历了洋陆作用下的陆缘弧体制(C3-T2)→陆内伸展作用下的陆内-陆间裂谷体制(T3-E1)→以印度—欧亚板块陆-陆碰撞为主要动因、印度—欧亚—太平洋板块联合作用下的陆内造山体制(E2-Q)等3种构造体制的转换;不同构造体制下的成矿作用分别构成了3个相对独立的成矿体系:岛弧成矿体系的成矿作用主要表现为接触交代型Cu矿化,并可能存在火山热液型Cu、Pb-Zn矿化;陆内裂谷成矿体系的成矿作用主要表现为接触交代型和热水喷流或火山热液型,最主要的成矿作用是因燕山期中酸性岩浆侵入而发生的接触交代型Fe、Cu、Pb、Zn、Ag、Au、Ga成矿作用;陆内造山成矿体系的成矿作用主要表现为构造-岩浆-热液形成一系列Au、Ag多金属矿床和对先成矿床的叠加改造。 | 董树义 唐菊兴 钟康惠 顾雪祥 DONG ShuYi TANG JuXing ZHONG KangHui GU XueXiang | 2006 | 矿床地质2006，25，S1： | 1 |
| 8 | Optimally sparse multidimensional representation using shearlets显示文摘 | Guo Kanghui Labate D | 2008 | SIAM journal on mathematical analysis2008，39，1： | 1 |
| 9 | Tuning redox activity through delithiation induced protective layer and Fe-O coordination for Li-rich cathode with improved voltage and cycle performance显示文摘Li-rich layered transition metal oxides are one of the most promising cathode materials for their high energy density.However,the cathodes usually suffer from severe potential dropping and capacity fading during cycling,which are associated with the surface oxygen release and accompanied by cation densification and structural collapse.Herein,an integrative approach of simultaneous constructing uniform 3d Fe-ion doping in the transition metal layer and Li-rich Li_(5)FeO_(4) shell to grab the oxygen and prevent interfacial side reactions is proposed.The introduction of Fe induces higher redox potential and stronger 3 d Fe-O_(2)p covalent bond,triggering reversible anionic redox via a reductive coupling mechanism.And the delithiated product of Li-rich Li_(5)FeO_(4) not only acts as a protective layer alleviating the side reactions but also enhances the surface kinetic property.With the benefit of promoted reversibility of oxygen redox and enhanced surface stability,the cathode exhibits high reversible capacity and superior cycle performance.Density function theory calculation indicates that the O_(2)p non-bonding state in the cathode incorporated with Fe sits at a lower energy band,resulting in higher energy storage voltage and improved oxygen stability.Consequently,the modified cathode exhibits a discharge specific capacity of 307 m A h g^(-1)(1 C=250 m A g^(-1)),coulombic efficiency of 82.09%in the initial cycle at 0.1 C and 88.34%capacity retention after 100 cycles at 1 C.The work illustrates a strategy that could simultaneously enhance oxygen redox reversibility and interface stability by constructing lattice bond coordination and delithiation induced protective layer to develop Li-rich materials with high reversible capacity and long lifespan. | Kanghui Hu Li Ren Weifeng Fan Bing Zhang Meihua Zuo Yanhui Zhang Genpin Lv Huiyuan Xu Wei Xiang Xiaodong Guo | 2022 | Journal of Energy Chemistry2022，31，8： | 1 |
| 10 | Optimally sparse multidimensional representation using shearlets 显示文摘 | Guo Kanghui Labate D | 2007 | SIAM Journal on Mathematical Analysis2007，39，1： | 1 |
| 11 | Optimally Sparse Multidimensional Representations using Shearlet显示文摘 | Guo Kanghui Demetrio Labate | | 0，，： | 1 |
| 12 | Optimally Sparse Multidimensional Representation Using Shearlets显示文摘 | Guo Kanghui Labate D | 2007 | SIAM Journal on Mathematical Analysis2007，39，1： | 1 |
| 13 | The reproductive behavior of golden monkeys in captivity (Rhinopithecus roxellana roxellana)显示文摘 | Renmei Ren Kanghui Yan Yanjie Su Hanjun Qi Bing Liang Wenyong Bao Frans B. M. Waal | 1995 | Primates1995，，1： | 1 |
| 14 | Optimally sparse multidimensional representation using shearlets 显示文摘 | Guo Kanghui Labate D | 2007 | SIAM Journal of Math A- nal2007，39，1： | 1 |
| 15 | Saliency detection of infrared image based on region covariance and global feature显示文摘In order to better represent infrared target features under different environments, a saliency detection method based on region covariance and global feature is proposed. Firstly, the region covariance features on different scale spaces and different image regions are extracted and transformed into sigma features,then combined with central position feature, the local salient map is generated. Next, a global salient map is generated by gray contrast and density estimation. Finally, the saliency detection result of infrared images is obtained by fusing the local and global salient maps. The experimental results show that the salient map of the proposed method has complete target features and obvious edges,and the proposed method is better than the state of art method both qualitatively and quantitatively. | LIU Songtao JIANG Ning LIU Zhenxing JIANG Kanghui | 2018 | Journal of Systems Engineering and Electronics2018，29，3： | 1 |
| 16 | Optimally sparse multidimension- al representation using Shearlets显示文摘 | Guo Kanghui LABATE D | 2007 | SIAM Journal on Math- ematical Analysis2007，39，1： | 1 |
| 17 | Optimally sparse multidimensional reprentation using Shearlets 显示文摘 | GUO Kanghui Labate D | 2007 | SLAM Journal on Mathe- matical Analysis2007，39，1： | 1 |
| 18 | Improved phase stability of CsPbI2Br perovskite by released microstrain toward highly efficient and stable solar cells显示文摘All-inorganic perovskite solar cells(PSCs)have developed rapidly in the field of photovoltaics due to their excellent thermal and light stability.However,compared with organic–inorganic hybrid perovskites,the phase instability of inorganic perovskite under humidity still remains as a critical issue that ham-pers the commercialization of inorganic PSCs.We originally propose in this work that microstrains between the perovskite lattices/grains play a key role in affecting the phase stability of inorganic perovskite.To this end,we inno-vatively design theπ-conjugated p-type molecule bis(2-ethylhexyl)3,30((4,8-bis(5-(2-ethylhexyl)-3,4-difluorothiophen-2-yl)benzo[1,2-b:4,5-b0]dithiophene-2,6-di yl)bis(3,300-dioctyl[2,20:50,200-terthiophene]-500,5-diyl))(2E,20 E)-bis(2-cyanoacrylate)(BTEC-2F)to covalent with the Pb dangling bonds in CsPbI2Br perovskite film,which significantly suppress the trap states and release the defect-induced local stress between perovskite grains.The interplay between the microstrains and phase stability of the inorganic perovskite are scrutinized by a series of charac-terizations including x-ray photoelectron spectroscopy,photoluminescence,x-ray diffraction,scanning electron microscopy,and so forth,based on which,we conclude that weaker local stresses in the perovskite film engender superior phase stability by preventing the perovskite lattice distortion under humidity.By this rational design,PSCs based on CsPbI2Br perovskite system deliver an outstanding power conversion efficiency(PCE)up to 16.25%.The unencapsulated device also exhibits an exceptional moisture stability by retaining over 80%of the initial PCE after 500 h aging in ambient with relative humidity of(RH)25%. | Kanghui Zheng Jinfeng Ge Chang Liu Qiang Lou Xia Chen Yuanyuan Meng Xu Yin Shixiao Bu Cuirong Liu Ziyi Ge | 2021 | InfoMat2021，3，12： | 1 |
| 19 | Optimally sparse multidimensional representation using Shearlets 显示文摘 | Guo Kanghui D Labate | 2007 | SIAM Journal on Mathematical Analysis2007，39，1： | 1 |
| 20 | Active Disturbance Rejection Control for Uncertain Nonlinear Systems With Sporadic Measurements显示文摘This paper deals with the problem of active disturbance rejection control(ADRC)design for a class of uncertain nonlinear systems with sporadic measurements.A novel extended state observer(ESO)is designed in a cascade form consisting of a continuous time estimator,a continuous observation error predictor,and a reset compensator.The proposed ESO estimates not only the system state but also the total uncertainty,which may include the effects of the external perturbation,the parametric uncertainty,and the unknown nonlinear dynamics.Such a reset compensator,whose state is reset to zero whenever a new measurement arrives,is used to calibrate the predictor.Due to the cascade structure,the resulting error dynamics system is presented in a non-hybrid form,and accordingly,analyzed in a general sampled-data system framework.Based on the output of the ESO,a continuous ADRC law is then developed.The convergence of the resulting closed-loop system is proved under given conditions.Two numerical simulations demonstrate the effectiveness of the proposed control method. | Kanghui He Chaoyang Dong Qing Wang | 2022 | IEEE/CAA Journal of Automatica Sinica2022，9，5： | 0 |
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