Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas
Debing Kong,Guicai Ning,Shigong Wang,Jing Cong,Ming Luo,Xiang Ni,and Mingguo Ma
Debing Kong
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
Chongqing Engineering Research Center for Remote Sensing Big Data
Application, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
The Gansu Key Laboratory of Arid Climate Change and Reducing Disaster,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Shigong Wang
The Gansu Key Laboratory of Arid Climate Change and Reducing Disaster,
College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
Sichuan Key Laboratory for Plateau Atmosphere and Environment, School
of Atmospheric Sciences, Chengdu University of Information Technology,
Chengdu 610225, China
Jing Cong
Tianjin Municipal Meteorological Observatory, Tianjin 300074, China
Ming Luo
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
School of Geography and Planning, Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275,
China
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
Chongqing Engineering Research Center for Remote Sensing Big Data
Application, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
Mingguo Ma
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
Chongqing Engineering Research Center for Remote Sensing Big Data
Application, School of Geographical Sciences, Southwest University,
Chongqing, 400715, China
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This study provides the first attempt to examine the diurnal cycles of day-to-day temperature change and reveals their impacts on air quality forecasting in mountain-basin areas. Three different diurnal cycles of the preceding day-to-day temperature change are identified and exhibit notably distinct effects on the air quality evolutions. The mechanisms of the identified diurnal cycles' effects on air quality are also revealed, which exhibit promising potential for air quality forecasting.
This study provides the first attempt to examine the diurnal cycles of day-to-day temperature...
