Review on identification and forecasting of dusty weather
Dusty weather is an extreme weather phenomenon that occurs frequently in the northern China.It leads to a turbidity of the air and a sharp decline in visibility,causing adverse effects on various aspects of hu-man society.Dust aerosols transported into the atmosphere by strong winds also have a significant impact on weather and climate by modulating atmospheric radiation budget and cloud microphysics.Accurate identification and forecasting of dusty weather are of great significance in ecological protection and climate change mitigation.This paper provides a comprehensive review of recent research on methods for identifying and forecasting dust events.Important methods are described in detail,and their advantages and disadvantages are analyzed and com-pared.Finally,this paper summarizes the research achievements related to the identification and forecasting of dusty weather and proposes valuable future research directions.
dusty weatheridentification of dusty weatherforecasting of dusty weathernumerical simula-tionmachine learning
NETL
NSTL
万方数据
维普
