This study presents the first climatology for the dust emission amount associated with Nocturnal Low-Level Jets (NLLJs) in North Africa. These wind speed maxima near the top of the nocturnal boundary layer can generate near-surface peak winds due to shear-driven turbulence in the course of the night and the NLLJ breakdown during the following morning. The associated increase in the near-surface wind speed is a driver for mineral dust emission. A new detection algorithm for NLLJs is presented and used for a statistical assessment of NLLJs in 32years of ERA-Interim reanalysis from the European Centre for Medium-Range Weather Forecasts. NLLJs occur in 29% of the nights in the annual and spatial mean. The NLLJ climatology shows a distinct annual cycle with marked regional differences. Maxima of up to 80% NLLJ frequency are found where low-level baroclinicity and orographic channels cause favorable conditions, e.g., over the Bodele Depression, Chad, for November-February and along the West Saharan and Mauritanian coast for April-September. Downward mixing of NLLJ momentum to the surface causes 15% of mineral dust emission in the annual and spatial mean and can be associated with up to 60% of the total dust amount in specific areas, e.g., the Bodele Depression and south of the Hoggar-Tibesti Channel. The sharp diurnal cycle underlines the importance of using wind speed information with high temporal resolution as driving fields for dust emission models.
机构:
CMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
Wei, Wei
Zhang, Hongsheng
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Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Lab Climate & Ocean Atmosphere Studies, Beijing, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
Zhang, Hongsheng
Zhang, Xiaoye
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China
Zhang, Xiaoye
Che, Huizheng
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Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R ChinaCMA Earth Syst Modeling & Predict Ctr, Beijing, Peoples R China