A5034186556- Climate variability and models
- Atmospheric chemistry and aerosols
- Tropical and Extratropical Cyclones Research
- Remote Sensing and Land Use
- Meteorological Phenomena and Simulations
- Air Quality and Health Impacts
- Fuzzy Logic and Control Systems
- Atmospheric aerosols and clouds
- Neural Networks and Applications
- Arctic and Antarctic ice dynamics
- Safety and Risk Management
- Generative Adversarial Networks and Image Synthesis
- Water Quality Monitoring and Analysis
- Evaluation Methods in Various Fields
- Spectroscopy Techniques in Biomedical and Chemical Research
- Precipitation Measurement and Analysis
- Oceanographic and Atmospheric Processes
- Climate change and permafrost
- Land Use and Ecosystem Services
- Evolutionary Algorithms and Applications
- Economic Zones and Regional Development
- Air Quality Monitoring and Forecasting
- Civil and Geotechnical Engineering Research
- Grouting, Rheology, and Soil Mechanics
- Environmental Changes in China
PLA Army Engineering University
2015-2023
Jiangsu Provincial Meteorological Bureau
2020-2023
Tangshan College
2020
Guangxi University
2009
Xinjiang University
2006
Meiyu-front rainstorm is one of the main disastrous weather events in summer East China. In this study, seven assimilation experiments multi-type observation data such as wind profile data, microwave radiometer and radiosonde sounding are designed to forecast on 15 June 2020. The results show that can basically simulate orientation rain belt. comprehensive experiment which assimilates all types observations performs best simulating location heavy shows good performance precipitation above...
Steady meteorological conditions are important external factors affecting air pollution. In order to analyze how adverse variables affect pollution, surface synoptic situation patterns and during heavy pollution episodes discussed. The results showed that there were 78 RPHPDs (regional PM2.5 days) in Jiangsu, with a decreasing trend year by year. Winter had the most stable conditions, thus appeared winter, followed autumn summer, least days spring. classified into three patterns,...
Abstract Using regional climate Model version 4.6, two sets of numerical experiments were designed to investigate the response atmospheric circulation symmetric sea surface temperature anomalies (SSTAs) associated with decadal variability in Kuroshio Extension (KE) under different backgrounds winter. The results show that atmosphere SSTAs exhibits an asymmetric baroclinic structure related stable state KE and equivalent barotropic unstable background climatology. diabatic heating cumulus...
Abstract Neural Process (NP) fully combines the advantages of neural network and Gaussian (GP) to provide an efficient method for solving regression problems. Nonetheless, limited by dimensionality latent variable, NP has difficulty fitting observed data completely predicting targets perfectly. To remedy these drawbacks, authors propose a concise effective improvement path NP, which term Multi‐Latent Variables (MLNP). MLNP samples multiple variables integrates representations corresponding...
The Arctic’s navigation and utilization have garnered global interest due to the economic strategic significance of its open shipping routes. feasibility cost-effectiveness Arctic wind power generation depend largely on potential energy, which in turn influences construction new ports. In order effectively harness polar we must understand adapt ever-changing rules. This study leverages ERA5′s 40-year field data estimate Theil–Sen Median slope perform Mann–Kendall trend analysis. We consider...
Yu, K.; P.L.; Chen, Y.G.; Lu, Y., and Hao, W., 2020. A further investigation of the simulation North Atlantic storm track activity in CMIP5 models. In: Zheng, C.W.; Wang, Q.; Zhan, C., Yang, S.B. (eds.), Air-Sea Interaction Coastal Environments Maritime Polar Silk Roads.Journal Research, Special Issue No. 99, pp. 428-434.By using historical operation data 12 Coupled Model Intercomparison Project phase 5 (CMIP5) model NCEP reanalysis, current study evaluated capacity these models to simulate...