干旱区生态环境知识资源中心(Arid): UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data

Arid

DOI	10.3390/atmos11010096
	UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data
	Roshan, Dillan Raymond 1; Koc, Muammer 1; Abdallah, Amir 2; Martin-Pomares, Luis 2; Isaifan, Rima 1; Fountoukis, Christos 1,2
通讯作者	Roshan, Dillan Raymond ; Fountoukis, Christos
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2020
卷号	11 期号:1
英文摘要	Human exposure to healthy doses of UV radiation is required for vitamin D synthesis, but exposure to excessive UV irradiance leads to several harmful impacts ranging from premature wrinkles to dangerous skin cancer. However, for countries located in the global dust belt, accurate estimation of the UV irradiance is challenging due to a strong impact of desert dust on incoming solar radiation. In this work, a UV Index forecasting capability is presented, specifically developed for dust-rich environments, that combines the use of ground-based measurements of broadband irradiances UVA (320-400 nm) and UVB (280-315 nm), NASA OMI Aura satellite-retrieved data and the meteorology-chemistry mesoscale model WRF-Chem. The forecasting ability of the model is evaluated for clear sky days as well as during the influence of dust storms in Doha, Qatar. The contribution of UV radiation to the total incoming global horizontal irradiance (GHI) ranges between 5% and 7% for UVA and 0.1% and 0.22% for UVB. The UVI forecasting performance of the model is quite encouraging with an absolute average error of less than 6% and a correlation coefficient of 0.93. In agreement with observations, the model predicts that the UV Index at local noontime can drop from 10-11 on clear sky days to approximately 6-7 during typical dusty conditions in the Arabian Peninsula-an effect similar to the presence of extensive cloud cover.
英文关键词	WRF-Chem solar radiation aerosol mineral dust OMI Aura UVA UVB Arabian desert
类型	Article
语种	英语
国家	Qatar
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000516826200096
WOS关键词	ARABIAN PENINSULA ; GROUND MEASUREMENTS ; IRRADIANCE ; RADIATION ; AEROSOLS ; SANTIAGO ; REFLECTIVITY ; MODELS ; AREA ; OMI
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/314122
作者单位	1.HBKU, QF, DSD, CSE, Doha 34110, Qatar; 2.HBKU, QF, Qatar Environm & Energy Res Inst, Doha 34110, Qatar
推荐引用方式 GB/T 7714	Roshan, Dillan Raymond,Koc, Muammer,Abdallah, Amir,et al. UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data[J],2020,11(1).
APA	Roshan, Dillan Raymond,Koc, Muammer,Abdallah, Amir,Martin-Pomares, Luis,Isaifan, Rima,&Fountoukis, Christos.(2020).UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data.ATMOSPHERE,11(1).
MLA	Roshan, Dillan Raymond,et al."UV Index Forecasting under the Influence of Desert Dust: Evaluation against Surface and Satellite-Retrieved Data".ATMOSPHERE 11.1(2020).