Solar radiation estimation in West Africa: impact of dust conditions during the 2021 dry season

被引:1
|
作者
Clauzel, Leo [1 ]
Anquetin, Sandrine [1 ]
Lavaysse, Christophe [1 ]
Bergametti, Gilles [2 ]
Bouet, Christel [2 ,3 ]
Siour, Guillaume [4 ]
Lapere, Remy [1 ]
Marticorena, Beatrice [4 ]
Thomas, Jennie [1 ]
机构
[1] Univ Grenoble Alpes, Grenoble INP, IRD, CNRS,IGE, F-38000 Grenoble, France
[2] Univ Paris Cite, Univ Paris Est Creteil, LISA, CNRS, F-75013 Paris, France
[3] Univ Paris Cite, Univ Paris Est Creteil, Sorbonne Univ, Inst Ecol & Sci Environm Paris,UMR 242,IRD,INRAE, F-93143 Bondy, France
[4] Univ Paris Cite, Univ Paris Est Creteil, LISA, CNRS, F-94010 Creteil, France
关键词
AEROSOL OPTICAL-PROPERTIES; ACCURATE SIMULATION; MINERAL AEROSOL; WIND EROSION; WRF; 3.7.1; DISTRIBUTIONS; VARIABILITY; TRANSPORT; PHOTOLYSIS; RETRIEVAL;
D O I
10.5194/acp-25-997-2025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The anticipated increase in solar energy production in West Africa requires high-quality solar irradiance estimates, which are affected by meteorological conditions and in particular the presence of desert dust aerosols. This study examines the impact of incorporating desert dust into solar irradiance and surface temperature estimations. The research focuses on a case study of a dust event in March 2021, which is characteristic of the dry season in West Africa. Significant desert aerosol emissions at the Bod & eacute;l & eacute; Depression are associated with a Harmattan flow that transports the plume westwards. Simulations of this dust event were conducted using the meteorological Weather Research and Forecasting (WRF) Model alone, as well as coupling it with the CHIMERE chemistry transport model, using three different datasets for the dust aerosol initial and boundary conditions (CAMS, GOCART, and MERRA-2). Results show that considering desert dust reduces estimation errors in global horizontal irradiance (GHI) by about 75 %. The dust plume caused an average of 18 % reduction in surface solar irradiance during the event. Additionally, the simulations indicated a positive bias in aerosol optical depth (AOD) and PM10 surface concentrations. The choice of dataset for initial and boundary conditions minimally influenced GHI, surface temperature, and AOD estimates, whereas PM10 concentrations and aerosol size distribution were significantly affected. This study underscores the importance of incorporating dust aerosols into solar forecasting for better accuracy.
引用
收藏
页码:997 / 1021
页数:25
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