Modeling haboob dust storms in large-scale weather and climate models

被引:34
|
作者
Pantillon, Florian [1 ]
Knippertz, Peter [1 ]
Marsham, John H. [2 ]
Panitz, Hans-Juergen [1 ]
Bischoff-Gauss, Ingeborg [3 ]
机构
[1] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, D-76021 Karlsruhe, Germany
[2] Univ Leeds, Natl Ctr Atmospher Sci, Water Leeds, Leeds, W Yorkshire, England
[3] Karlsruhe Inst Technol, Steinbuch Ctr Comp, D-76021 Karlsruhe, Germany
基金
欧洲研究理事会;
关键词
wind; convection; parameterization; cold pool; northern Africa; downdraft; INTERACTIONS CAUSING PRECIPITATION; CONVECTIVE SYSTEM; NORTHERN AFRICA; DEEP CONVECTION; DIURNAL CYCLE; EMISSION; PARAMETERIZATION; SIMULATIONS; VARIABILITY; EVENTS;
D O I
10.1002/2015JD024349
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Recent field campaigns have shown that haboob dust storms, formed by convective cold pool outflows, contribute a significant fraction of dust uplift over the Sahara and Sahel in summer. However, in situ observations are sparse and haboobs are frequently concealed by clouds in satellite imagery. Furthermore, most large-scale weather and climate models lack haboobs, because they do not explicitly represent convection. Here a 1year long model run with explicit representation of convection delivers the first full seasonal cycle of haboobs over northern Africa. Using conservative estimates, the model suggests that haboobs contribute one fifth of the annual dust-generating winds over northern Africa, one fourth between May and October, and one third over the western Sahel during this season. A simple parameterization of haboobs has recently been developed for models with parameterized convection, based on the downdraft mass flux of convection schemes. It is applied here to two model runs with different horizontal resolutions and assessed against the explicit run. The parameterization succeeds in capturing the geographical distribution of haboobs and their seasonal cycle over the Sahara and Sahel. It can be tuned to the different horizontal resolutions, and different formulations are discussed with respect to the frequency of extreme events. The results show that the parameterization is reliable and may solve a major and long-standing issue in simulating dust storms in large-scale weather and climate models.
引用
收藏
页码:2090 / 2109
页数:20
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