Multi-Weather Visibility Retrieval Method Using WRF-Chem and CALIPSO
Source abstract
Abstract
Atmosphere visibility (VIS) is important for flight safety. Deriving VIS with high accuracy is a task in the field of atmospheric science. Although ground-based observation is ideal for VIS measurement, large-scale VIS observations must rely on satellite data. In this paper, we propose a new method to retrieve VIS with high accuracy using the aerosol products of the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Himawari-8. The Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) was used as the simulation tool. In our method, we used the techniques of data integration and Kriging interpolation in the VIS retrieval for the first time. It was demonstrated that our results of VIS have high accuracy. Our method is useful in aerosol characterization and atmosphere monitoring.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Atmospheric aerosols and clouds · Meteorological Phenomena and Simulations · Atmospheric chemistry and aerosols
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Electronic Information and Automation, Civil Aviation University of China, 2898 Jinbei Road, Tianjin 300300, China
Hong Kong Observatory, 134A Nathan Road, Hong Kong, China
Funding
National Natural Science Foundation of China · Scientific Research Program of Tianjin Municipal Education Commission
References (28)
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