A5100389990- Remote Sensing and Land Use
- Meteorological Phenomena and Simulations
- Environmental Changes in China
- Climate variability and models
- Precipitation Measurement and Analysis
- Environmental and Agricultural Sciences
- Atmospheric aerosols and clouds
- Remote-Sensing Image Classification
- Tropical and Extratropical Cyclones Research
- Air Traffic Management and Optimization
- Cryospheric studies and observations
- EEG and Brain-Computer Interfaces
- Air Quality and Health Impacts
- Aviation Industry Analysis and Trends
- Brain Tumor Detection and Classification
- Remote Sensing in Agriculture
- Regional Economic and Spatial Analysis
- Landscape and Cultural Studies
- Geological Modeling and Analysis
- Wind and Air Flow Studies
- Geochemistry and Geochronology of Asian Mineral Deposits
- Cultural Heritage Management and Preservation
- Forest, Soil, and Plant Ecology in China
- Geological and Geochemical Analysis
- Marine and coastal ecosystems
China Meteorological Administration
2021-2024
Beijing Meteorological Bureau
2023
Hohai University
2021
Aerospace Information Research Institute
2021
Chinese Academy of Sciences
2021
Beijing University of Agriculture
2010-2013
Beijing Forestry University
2011
State Key Laboratory of Remote Sensing Science
2010
Beijing Normal University
2009-2010
University of Chinese Academy of Sciences
2010
Four-dimensional variational data assimilation (4DVar) is one of the most promising methods to provide optimal analysis for numerical weather prediction (NWP). Five national NWP centers in world have successfully applied 4DVar their global NWPs, thanks increment method and adjoint technique. However, application still limited by computer resources available at many research institutes. It essential, therefore, further reduce computational cost 4DVar. Here, an economical approach implement...
Based on the hourly visibility data, and its changes during 2010–2020 at monthly annual time scales over 47 international airports in China are investigated, nine artificial-intelligence-based prediction models trained (hourly data 2018–2019) tested 2020) these airports. The analyses show that of eastern central is a poor level all year round, LXA (in Lhasa) has good round. Airports south northwest have better from May to October poorer November April. In months, increasing mainly occurs...
The study of cloud types is critical for understanding atmospheric motions and climate predictions; example, accurately classified products help improve meteorological predicting accuracies. However, the current satellite classification methods generally analyze threshold change in a single pixel do not consider relationship between surrounding pixels. development relies heavily on human recourses does fully utilize data-driven advantages computer models. Here, new intelligent method based...
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Precipitation nowcasting pertains to the localized forecasting of rainfall over a brief time horizon, characterized by precise estimates both coverage and intensity. This capability holds particular significance in various societal applications, including agriculture, aviation safety, transportation. However, since traditional methods mainly extrapolating radar echo two-dimensional space, cannot accurately sufficiently represent spatiotemporal state clouds vertical direction, accuracy...
Urban black-odor water is a serious environmental problem worldwide that seriously affects the living environment and health of residents. The detection primary centralized governance. Remote sensing an effective means for water-quality monitoring. However, in most urban areas, with their complex underlying conditions, always shows uncertain distribution small area. Furthermore, because similar spectral characteristics, it easily confused dark objects such as asphalt roads, roofs, bridges,...
Based on second-level L-band sounding data, the vertical distribution and variation of meteorological elements at airports in 2010–2020 are investigated. At same time, relationships between airport visibility different potential heights also Then, based hourly measurements 26 2018–2020, is predicted by 9 artificial intelligence algorithm models. The analyses show: (1) For changes four airports, negative trends temperature relative humidity increase clearly from northwestern to southeastern...
The quantitative precipitation estimation by weather radar plays an important role in observations and forecasts of meteorological processes. National Minute Quantitative Precipitation Forecast system China (MQPF), providing location-based refined short-term imminent forecasting services, filled the gap official minute service products China’s field. However, due to technical limitations itself complexity atmosphere, corresponding relationship between echoes surface is unstable. Based on...
Three ground-based radars in the Pearl River Delta successfully observed Typhoon Higos (2020), which traveled over offshore area South China Sea. During observation period, stratiform region of outer rainband HIGOS became active while swirling inward, merging into an unclosed eyewall and spreading outward, but its structure was asymmetric between upwind downwind. To understand dynamic mechanism asymmetry detail, refined wind speed distributions inner core retrieved by using radar data a...
Accurate precipitation forecasting plays an important role in disaster prevention and mitigation. Currently, mainly depends on numerical weather prediction radar observation. However, ground-based observation has limited coverage is easily influenced by the environment, resulting of forecasts. The infrared observations geosynchronous earth orbit (GEO) satellites have been widely used estimation due to their extensive coverage, continuous monitoring, independence from environmental...
Abstract In this study, a method for assimilating FY4A advanced geostationary radiance imager (AGRI) cirrus‐effected radiances (CER) is investigated, and the impact of on water vapor analysis rainstorm forecasting examined through observing system simulation experiments actual case experiments. The high proportion inverted humidity profiles in pixels main reason negative effect assimilation mid‐to‐lower troposphere. To address this, relevant constraint conditions are incorporated into cost...
This study investigates the impacts of joint assimilation ground-based microwave radiometer (MWR) and FY-3D sounder (MWTS-2/MWHS-2) observations on analyses forecasts for precipitation forecast. Based weather research forecasting data (WRFDA) system, four experiments are conducted in this study, concerning a heavy event Beijing 2 July 2021, 10-day batch were also conducted. The key findings include following: (1) Both MWTS-2/MWHS-2 contribute to improvements initial fields model, leading...
Abstract In order to improve precipitation forecast from GRAPES_Meso V4.0 in China, we propose a 1–6‐h rolling correction solution, based on infrared (IR) channels geostationary meteorological satellite and surface observation data. particular, design deep learning extrapolation model predict the evolution of cloud clusters convolutional neural networks long short‐term memory networks. The predicted clusters, together with relationship between rainfall area position, are applied correct...
Abstract To automatically detect dynamic EEG signals to reduce the time cost of epilepsy diagnosis. In signal recognition electroencephalogram (EEG)of epilepsy, traditional machine learning and statistical methods require manual feature labeling engineering in order show excellent results on a single data set. And artificially selected features may carry bias, cannot guarantee validity expansibility real-world data. practical applications, deep can release people from certain extent. As long...
Soil organic matter content (SOMC) is essential for controlling soil function and quality, mitigating greenhouse gas emissions, improving knowledge of the global carbon cycle system. However, spectral analysis scale effects have been challenges SOMC remote sensing inversion. Although library (SSL) bottom-up scheme proposed to provide a solution effect, lack effective variables different SSL protocols remain major barriers realizing this technique. To address these issues, study proposes new...
Method of normalized spectrum was presented for problem-saving spectral complexity and separating capacity, which were used to differ prtrous mountain from exposed soil desert. Using the method, index (NSI) established; then, preous (RMI) created; finally, we established desert-exposed difference model (DS-Def). The above results indicated that precision is higher than traditional classification. But method too complex extract information quickly, so selected sensitive factors as new bands...