干旱区生态环境知识资源中心(Arid): Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data

Arid

DOI	10.5572/KOSAE.2018.34.3.493
	Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data
	Lee, Kwon-Ho; Lee, Kyu-Tae
通讯作者	Lee, KH
来源期刊	JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT
ISSN	1598-7132
EISSN	2383-5346
出版年	2018
卷号	34 期号:3 页码:493-507
英文摘要	Due to high spatio-temporal variability of amount and optical/microphysical properties of atmospheric aerosols, satellite-based observations have been demanded for spatiotemporal monitoring the major aerosols. Observations of the heavy aerosol episodes and determination on the dominant aerosol types from a geostationary satellite can provide a chance to prepare in advance for harmful aerosol episodes as it can repeatedly monitor the temporal evolution. A new geostationary observation sensor, namely the Advanced Himawari Imager (AHI), onboard the Himawari-8 platform, has been observing high spatial and temporal images at sixteen wavelengths from 2016. Using observed spectral visible reflectance and infrared brightness temperature (BT), the algorithm to find major aerosol type such as volcanic ash (VA), desert dust (DD), polluted aerosol (PA), and clean aerosol (CA), was developed. RGB color composite image shows dusty, hazy, and cloudy area then it can be applied for comparing aerosol detection product (ADP). The CALIPSO level 2 vertical feature mask (VFM) data and MODIS level 2 aerosol product are used to be compared with the Himawari-8/AHI ADP The VFM products can deliver nearly coincident dataset, but not many match-ups can be returned due to presence of clouds and very narrow swath. From the case study, the percent correct (PC) values acquired from this comparisons are 0.76 for DD, 0.99 for PA, 0.87 for CA, respectively. The MODIS L2 Aerosol products can deliver nearly coincident dataset with many collocated locations over ocean and land. Increased accuracy values were acquired in Asian region as POD=0.96 over land and 0.69 over ocean, which were comparable to full disc region as POD=0.93 over land and 0.48 over ocean. The Himawari-8/AHI ADP algorithm is going to be improved continuously as well as the validation efforts will be processed by comparing the larger number of collocation data with another satellite or ground based observation data.
英文关键词	Geostationary satellite Aerosol Remote sensing Detection product Multispectral
类型	Article
语种	其他
收录类别	ESCI
WOS记录号	WOS:000455193300010
WOS关键词	OPTICAL-THICKNESS ; CLEAR-SKY ; CLOUD ; SMOKE ; DUST ; MODIS
WOS类目	Meteorology & Atmospheric Sciences
WOS研究方向	Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/333201
作者单位	[Lee, Kwon-Ho; Lee, Kyu-Tae] Gangneung Wonju Natl Univ, Dept Atmospher & Environm Sci, Radiat Satellite Res Inst, Kangnung, South Korea
推荐引用方式 GB/T 7714	Lee, Kwon-Ho,Lee, Kyu-Tae. Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data[J],2018,34(3):493-507.
APA	Lee, Kwon-Ho,&Lee, Kyu-Tae.(2018).Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data.JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT,34(3),493-507.
MLA	Lee, Kwon-Ho,et al."Detection and Classification of Major Aerosol Type Using the Himawari-8/AHI Observation Data".JOURNAL OF KOREAN SOCIETY FOR ATMOSPHERIC ENVIRONMENT 34.3(2018):493-507.