干旱区生态环境知识资源中心(Arid): Spatial-Temporal Dust Fusion Model for Integration of MODIS and WRF-Chem

Arid

DOI	10.3103/S1068373921110078
	Spatial-Temporal Dust Fusion Model for Integration of MODIS and WRF-Chem
	Rezvani, M. M.; Boloorani, A. D.; Amiraslani, F.; Azizi, G.
通讯作者	Boloorani, AD (corresponding author)，Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran.
来源期刊	RUSSIAN METEOROLOGY AND HYDROLOGY
ISSN	1068-3739
EISSN	1934-8096
出版年	2021
卷号	46 期号:11
英文摘要	Dust storms are common meteorological events appearing in arid and semi-arid regions. Various methods have been developed to calculate aerosol optical depth (AOD) in dust storms studies. The AOD data obtained either from remote sensing measurements or numerical models have their own specific limitations and advantages. In this study, in order to benefit from the advantages of both types of AOD data and generate a fused AOD product with higher spatial and temporal resolutions, the Spatial-Temporal Dust Fusion Model (STDFM) was developed to integrate remote sensing data on AOD and numerical model AOD via simultaneous enhancing of spatial and temporal resolutions from 15 to 3 kilometers and from one day to one hour, respectively. The remote sensing AOD data from MODIS and numerical modeling of AOD from WRF model from 16-20 June, 2012 for the geographical region of Iran were used to verify the applicability and assess the accuracy of the STDFM. An average correlation coefficient of 0.64 was measured between the STDFM-fused AOD and the AOD data retrieved from ground-based visibility. The results affirmed the high accuracy of STDFM in obtaining fused AOD with higher spatial and temporal resolutions.
英文关键词	AOD data fusion remote sensing numerical model STDFM
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000752953700007
WOS关键词	PM2.5 CONCENTRATIONS ; KM RESOLUTION ; LANDSAT ; AEROSOL ; REFLECTANCE ; VEGETATION ; ALGORITHM ; PRODUCTS ; IMAGERY ; INDEX
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/2XILL650/375865
作者单位	[Rezvani, M. M.; Boloorani, A. D.; Amiraslani, F.] Univ Tehran, Fac Geog, Dept Remote Sensing & GIS, Tehran, Iran; [Azizi, G.] Univ Tehran, Fac Geog, Dept Phys Geog, Tehran, Iran
推荐引用方式 GB/T 7714	Rezvani, M. M.,Boloorani, A. D.,Amiraslani, F.,et al. Spatial-Temporal Dust Fusion Model for Integration of MODIS and WRF-Chem[J],2021,46(11).
APA	Rezvani, M. M.,Boloorani, A. D.,Amiraslani, F.,&Azizi, G..(2021).Spatial-Temporal Dust Fusion Model for Integration of MODIS and WRF-Chem.RUSSIAN METEOROLOGY AND HYDROLOGY,46(11).
MLA	Rezvani, M. M.,et al."Spatial-Temporal Dust Fusion Model for Integration of MODIS and WRF-Chem".RUSSIAN METEOROLOGY AND HYDROLOGY 46.11(2021).