Climatology of nocturnal low-level jets over North Africa and implications for modeling mineral dust emission

被引:118
作者
Fiedler, S. [1 ]
Schepanski, K. [1 ]
Heinold, B. [1 ]
Knippertz, P. [1 ]
Tegen, I. [2 ]
机构
[1] Univ Leeds, Sch Earth & Environm, Leeds LS2 9JT, W Yorkshire, England
[2] Leibniz Inst Tropospher Res, Leipzig, Germany
基金
欧洲研究理事会;
关键词
nocturnal low-level jet; Harmattan; dust emission; Saharan heat low; ERA-Interim reanalysis; diurnal cycle; BOUNDARY-LAYER; DIURNAL CYCLE; DESERT DUST; AEROSOL; SIMULATIONS; TURBULENCE; IMPACT; FUTURE;
D O I
10.1002/jgrd.50394
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页码:6100 / 6121
页数:22
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