Journal article
Climatology of aerosol types and their vertical distribution over East Asia based on CALIPSO lidar measurements
International journal of climatology, Vol.42(11), pp.6042-6054
04/01/2022
DOI: 10.1002/joc.7599
Abstract
Aerosol vertical distribution generally determines their health impacts and climate effects. By using long-term (2007-2019) CALIPSO lidar measurements, we present a large-scale insight into the climatology of aerosol types and their vertical structure over East Asia. Despite the low sampling frequency, comparison with MODIS aerosol optical depth (AOD) shows that the integrated CAIPSO vertical extinction can reasonably reproduce spatial patterns of the aerosol loading. With the unique advantage of active detection, CALIPSO reveals an obvious enhancement of the night-time AOD due to worse diffusion conditions. Moreover, long-range transport of different aerosols including dust, polluted dust, and smoke has substantial contribution to the aerosol loading over East Asia. Pure dust particles are mainly concentrated over the deserts with notable dust transport belts (dust AOD > 0.2 at 532 nm) along downwind regions during winter and spring. By contrast, polluted dust is prevalent over the downstream eastern China with much higher AODs throughout the year. In particular, AOD of polluted dust (similar to 0.5) is higher in winter rather than in spring, which is consistent with their seasonal occurrences. Smoke aerosols usually appear in the night-time over southern China. The top heights of aerosols are around 4-6 km, with dust and smoke having higher extinction at upstream regions. The climatology of these aerosol types and vertical distribution can provide a significant constraint for associated studies of air quality and climate effects.
Details
- Title: Subtitle
- Climatology of aerosol types and their vertical distribution over East Asia based on CALIPSO lidar measurements
- Creators
- Lu Gui - Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences Wuhan ChinaMinghui Tao - Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences Wuhan ChinaYi Wang - China University of Geosciences (Beijing)Lunche Wang - Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences Wuhan ChinaLiangfu Chen - State Key Laboratory of Remote Sensing ScienceChangqing Lin - Institute for the Environment, Hong Kong University of Science & Technology, Clear Water Bay Hong Kong, ChinaJinhua Tao - State Key Laboratory of Remote Sensing ScienceJun Wang - University of IowaChao Yu - State Key Laboratory of Remote Sensing Science
- Resource Type
- Journal article
- Publication Details
- International journal of climatology, Vol.42(11), pp.6042-6054
- Publisher
- Wiley
- DOI
- 10.1002/joc.7599
- ISSN
- 0899-8418
- eISSN
- 1097-0088
- Number of pages
- 13
- Grant note
- 41830109; 41871262 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) Chinese Academy of Sciences; Chinese Academy of Sciences
- Language
- English
- Electronic publication date
- 04/01/2022
- Academic Unit
- Physics and Astronomy; Chemical and Biochemical Engineering; Civil and Environmental Engineering
- Record Identifier
- 9984244028802771
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