A5057714219- Meteorological Phenomena and Simulations
- Atmospheric aerosols and clouds
- Wind and Air Flow Studies
- Radio Wave Propagation Studies
- Cryospheric studies and observations
- Climate variability and models
- Arctic and Antarctic ice dynamics
- Precipitation Measurement and Analysis
- Soil Moisture and Remote Sensing
- Optical Systems and Laser Technology
- GNSS positioning and interference
- Plant Water Relations and Carbon Dynamics
- Atmospheric chemistry and aerosols
- Advanced SAR Imaging Techniques
National University of Defense Technology
2022-2024
Lanzhou University
2016-2022
Accurate estimation of the atmospheric boundary layer height (ABLH) is critically important and it mainly relies on detection vertical profiles atmosphere variables (temperature, humidity,’ horizontal wind speed) or aerosols. Aerosol Lidar a powerful remote sensing instrument frequently used to retrieve ABLH through distribution aerosol concentration. A challenge that cloud, residual (RL), local signal structure seriously interfere with lidar measurement ABLH. new objective technique...
Accurate identification of key parameters for data assimilation is important in simulating the planetary boundary layer height (PBLH) and structure evolution numerical weather prediction models. In this study, surface observational lidar-derived PBLH on 42 cloudless days from June 2007 to May 2008 are used quantify statistical relationships between at a semiarid climate site Northwest China. The results indicate that upward long wave radiation, temperature, sensible heat fluxes show strong...
Abstract The planetary boundary‐layer height (PBLH) is a key parameter that very important in numerical weather and air quality predictions. current LiDAR networks make it possible to provide potential PBLH observations, assimilating the will be helpful improve forecast of variables within boundary layer (PBL). This study first carried out idealized experiments on assimilation through observation system simulation (OSSEs). ensemble square root filter (EnSRF) applied assimilate simulated...