A5101721980- Remote Sensing and LiDAR Applications
- Aeolian processes and effects
- Energy Load and Power Forecasting
- Meteorological Phenomena and Simulations
- Marine and fisheries research
- Climate variability and models
- Landslides and related hazards
- Air Quality and Health Impacts
- Personal Information Management and User Behavior
- Geology and Paleoclimatology Research
- Speech and Audio Processing
- Oceanographic and Atmospheric Processes
- Coral and Marine Ecosystems Studies
- Atmospheric Ozone and Climate
- Atmospheric chemistry and aerosols
- Marine animal studies overview
- Climate change and permafrost
- AI-based Problem Solving and Planning
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Human-Automation Interaction and Safety
- Arctic and Antarctic ice dynamics
- Traffic Prediction and Management Techniques
Beijing University of Posts and Telecommunications
2023-2025
Institute of Atmospheric Physics
2018
Chinese Academy of Sciences
2008-2018
To better understand the local wind systems in Himalayas, and related atmospheric parameters were observed Rongbuk Valley on northern slope of Mt. Everest, during HEST2006 campaign, from May 29 to June 29, 2006. Data analysis a simple numerical simulation show that dominating down‐valley flow this valley is mainly formed by thermally driven winds, “valley wind”, “mountain wind” “glacier wind”. The vertical air motion composed descending morning midnight an ascending for rest day, with...
Recently, large language models (LLM) based generative AI has been gaining momentum for their impressive high-quality performances in multiple domains, particularly after the release of ChatGPT. Many believe that they have potential to perform general-purpose problem-solving software development and replace human developers. Nevertheless, there are a lack serious investigation into capability these LLM techniques fulfilling tasks. In controlled 2 × between-subject experiment with 109...
Sea surface temperature (SST) is uniquely important to the Earth's atmosphere since its dynamics are a major force in shaping local and global climate profoundly affect our ecosystems. Accurate forecasting of SST brings significant economic social implications, for example, better preparation extreme weather such as severe droughts or tropical cyclones months ahead. However, task faces unique challenges due intrinsic complexity uncertainty ocean systems. Recently, deep learning techniques,...
Abstract Visual interpretation is extremely important in human geography as the primary technique for geographers to use photograph data identifying, classifying, and quantifying geographic topological objects or regions. However, it also time‐consuming requires overwhelming manual effort from professional geographers. This paper describes our interdisciplinary team's efforts integrating computer vision models with geographers' visual image process reduce their workload interpreting images....