TY - JOUR
T1 - Investigating the sensitivity of the WRF-Chem horizontal grid spacing on PM10 concentration during 2012 over West Africa
AU - Gueye, M.
AU - Jenkins, G. S.
N1 - Funding Information:
This work was supported by the Department of Meteorology and Atmospheric Sciences at the Pennsylvania State University . We also thank Karen Coker for her edits and Beatrice Marticorena for sharing the AMMA PM 10 data.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2019/1
Y1 - 2019/1
N2 - West Africa is influenced by northeasterly winds flowing from the Sahara Desert, which transports large quantities of dust into the Sahel by discrete episodic dust events during winter and spring seasons. We investigate the role of horizontal grid spacing in simulating the Particulate Matter with a mass median diameter of less than 10 μm (PM10) concentrations over West Africa during January through March of 2012 with horizontal grid spacings of 18, 50 and 100 km using the Weather Research and Forecasting model with GOCART (WRF-CHEM). The results are compared to the ground measurements of PM10 in Dakar, Senegal and three AMMA transect sites in Senegal, Mali, and Niger. In general, the 50 km simulations produced the smallest biases in PM10 concentrations, while the largest negative biases are found for 100 km grid spacing during the period especially for Bodele sources. Further, the largest negative biases are found for the eastern Sahel region in Niger at Banizoumbou. We suggest that forecasts or long-term simulations of dust should occur at grid spacing less than 100 km.
AB - West Africa is influenced by northeasterly winds flowing from the Sahara Desert, which transports large quantities of dust into the Sahel by discrete episodic dust events during winter and spring seasons. We investigate the role of horizontal grid spacing in simulating the Particulate Matter with a mass median diameter of less than 10 μm (PM10) concentrations over West Africa during January through March of 2012 with horizontal grid spacings of 18, 50 and 100 km using the Weather Research and Forecasting model with GOCART (WRF-CHEM). The results are compared to the ground measurements of PM10 in Dakar, Senegal and three AMMA transect sites in Senegal, Mali, and Niger. In general, the 50 km simulations produced the smallest biases in PM10 concentrations, while the largest negative biases are found for 100 km grid spacing during the period especially for Bodele sources. Further, the largest negative biases are found for the eastern Sahel region in Niger at Banizoumbou. We suggest that forecasts or long-term simulations of dust should occur at grid spacing less than 100 km.
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U2 - 10.1016/j.atmosenv.2018.09.064
DO - 10.1016/j.atmosenv.2018.09.064
M3 - Article
AN - SCOPUS:85055143381
SN - 1352-2310
VL - 196
SP - 152
EP - 163
JO - Atmospheric Environment
JF - Atmospheric Environment
ER -