A5103011848- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Atmospheric Ozone and Climate
- Climate variability and models
- Calibration and Measurement Techniques
- Precipitation Measurement and Analysis
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Tropical and Extratropical Cyclones Research
- Atmospheric chemistry and aerosols
- Geophysics and Gravity Measurements
- Fuel Cells and Related Materials
- Electrocatalysts for Energy Conversion
- Ionosphere and magnetosphere dynamics
- Spectroscopy and Laser Applications
- Robotics and Sensor-Based Localization
- Remote Sensing in Agriculture
- GNSS positioning and interference
- Advanced Optical Sensing Technologies
- 3D Shape Modeling and Analysis
- Ocean Waves and Remote Sensing
- Ammonia Synthesis and Nitrogen Reduction
- Radio Wave Propagation Studies
- Inertial Sensor and Navigation
- Soil Moisture and Remote Sensing
China Meteorological Administration
2006-2024
Khalifa University of Science and Technology
2024
Chinese Academy of Meteorological Sciences
2023-2024
Huawei Technologies (China)
2023
Hebei University of Technology
2021-2023
Large-scale 3D mapping nowadays is a research hotspot in robotics. A greatly concerning issue reconstructing high-accuracy maps hardware environment with limited memory. To address this problem, we propose novel implicit neural approach higher accuracy and less It first adopts an improved hierarchical hash encoder, independent of geometric bounding (e.g., box or sphere), for more compact map representation, then leverages spatial grid to restrict the encoding space proximity surfaces,...
A fast piecewise-defined neural network (PDNN) method is presented to produce accurate atmospheric temperature and humidity profiles from satellite hyperspectral infrared (IR) microwave (MW) observations in all-sky conditions. The PDNN relies on a novel classification approach principal component-based (NN) function better capture the nonlinear relationship between spectral radiances state vectors. algorithm was designed only rely measurements. Large datasets were used for training make...
Over the years, scene understanding has attracted a growing interest in computer vision, providing semantic and physical information necessary for robots to complete some particular tasks autonomously. In 3D scenes, rich spatial geometric topological are often ignored by RGB-based approaches understanding. this study, we develop bottom-up approach that infers support relations between objects from point cloud. Our utilizes topology of plane pairs scene, consisting three major steps. 1)...
近20年来,中国风云气象卫星完成了从试验应用型向业务服务型、从第一代到第二代、从单一探测到综合探测、从定性到定量的转变,实现了业务化、系列化、定量化的发展目标,风云卫星数据预处理、产品生成、数据应用技术取得全面进步。在地理定位方面,通过发展自主的地理定位算法,持续优化算法精度,业务定位精度提高到1个像素。在辐射定标方面,发展了基于月球订正的星上内黑体定标算法、深对流云定标、月亮定标和交叉定标等算法,建立了综合定标系统,太阳反射波段平均定标偏差小于5%,红外通道平均定标偏差小于0.5...
As the first hyperspectral infrared sounder onboard a geostationary satellite, FengYun 4A (FY-4A) Geostationary Interferometric Infrared Sounder (GIIRS) plays an important role in high-impact weather forecasting with high spatial and temporal resolution. Because data are highly sensitive to clouds these cloud-affected currently challenging assimilate, cloud detection is necessary step assimilate better. FY-4A GIIRS has been operationally assimilated Chinese operational numerical prediction...
Point and line features are complementary in Visual-Inertial Odometry (VIO) or Simultaneous Localization And Mapping (VI-SLAM) systems. The advantage of combining these two types relies on their proper weighting the cost function, usually set by uncertainty. Compared with point features, setting segment endpoints' uncertainty isotropic distribution is unreasonable. But feature observation, especially for along line, difficult to due occlusion fragmentation problems. In this article, we use...
Fine spectral detection can basically solve the problem of low vertical resolution at 183 GHz water-vapor absorption line, and it is expected to become one main methods for next-generation geostationary polar-orbiting satellites. Here, using data from Microwave Humidity Sounder II (MWHS-II) onboard Chinese Fengyun 3D (FY-3D) satellite in Global/Regional Assimilation Prediction System (GRAPES) Four-Dimensional Variational (4D-Var) system China Meteorological Administration (CMA), we explore...
GPS radio occultation observed refractivity is a function of atmospheric temperature and humidity. One-dimensional variational (1DVAR) analysis can be used to retrieve humidity profiles simultaneously from data. Profiles derived 1DVAR method with COSMIC 2011 data occurred in China area are compared the collocated radiosondes. The background ECMWF retrieval results show good agreement effect non-ideal gas compressibility on errors focused analysis. Results different months that has systematic...
关键词矢量辐射传输计算
The higher the atmosphere is, larger deviations in atmospheric temperature and humidity are between vertical column above cross-section of a satellite instrument ray’s trajectory from to satellite. In general, instruments that observe using cross-orbit scanning result difference observed radiance simulations this method becoming incrementally as moves edge satellite’s orbit. depend on distance ray horizontal gradient variables distance. fact, water vapour is than clear scenarios, which could...
Microwave hyperspectral instruments represent one of the main atmospheric sounders China’s next-generation Fengyun meteorological satellites. In order to better apply microwave observations in fields parameter retrieval and data assimilation, this paper analyzes sensitivity trace gases five selected bandwidth channels using a radiative transfer model based on simulated radiances at 50–60 GHz. This method uses information entropy weighting function select analyze impact accuracy profiles...
Summary The paper focuses on a parallel iterative solver for multifrequency seismic wave modeling multiple sources, which is usually encountered in those advanced inversion approaches such as LSRTM and FWI, requiring many frequency components of seismograms to distinguish geological anomality different sizes. Regarding this problem, direct solvers can offer excellent computing speed while they need be repeatedly used frequencies. We have built an solver, named grouped P-SSORCG that leverages...
To improve the assimilation accuracy of satellite microwave observations, it is necessary to conduct precipitation detection before and exclude data contaminated by scattering hydromorphic particles. The induction closely related effective radius particles, motion state particles at different scales can directly affect internal dynamic structure clouds, which will lead precipitation. further analyze validate impact in a environment on soundings within temperature-sensitive band, this article...
To make better use of microwave radiance observations for data assimilation, removal radiances contaminated by hydrometeor particles is one the most important steps. Generally, all below middle troposphere are eliminated before analysis when precipitation present. However, altitude cloud top varies; weighting function peak height a channel higher than top, not affected absorption or scattering particles. Thus, radiative transfer calculation can be performed under clear sky scenario. In this...