2022
DOI: 10.1029/2021jd035858
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The Extreme North African Haboob in October 2008: High‐Resolution Simulation of Organized Moist Convection in the Lee of the Atlas, Dust Recirculation and Poleward Transport

Abstract: This study investigates the mesoscale dynamics involved in the 8–11 October 2008 unseasonably strong African dust episode, during which dust was transported to the Iberian Peninsula (IP). We employ observational datasets and a high‐resolution Weather Research and Forecasting model coupled with Chemistry simulations. The analysis shows that during 0900–1200 UTC 9 October, a mesoscale convective system developed over the Atlas Mountains and resulted in a southwestward propagating convective cold pool outflow on … Show more

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“…WRF-Chem is an advanced online coupled regional model which can simulate the emission, transport, and transformation of trace gases and aerosols with atmospheric feedback processes from radiation and meteorology (Chapman et al, 2009;Fast et al, 2006). WRF-Chem consists of several chemistry components, e.g., emission inventories, aerosolchemistry mechanism, aqueous and gas phase mechanism, dry and wet deposition, and photolysis, and has been widely used to study aerosol emission and transport (e.g., Dhital et al, 2022;Parajuli et al, 2019) and aerosol-cloud-radiationclimate interaction (e.g., Wu et al, 2018;Fan et al, 2015;Sarangi et al, 2015;Archer-Nicholls et al, 2016;Liu et al, 2020) around the globe.…”
Section: Model Descriptionmentioning
confidence: 99%
“…WRF-Chem is an advanced online coupled regional model which can simulate the emission, transport, and transformation of trace gases and aerosols with atmospheric feedback processes from radiation and meteorology (Chapman et al, 2009;Fast et al, 2006). WRF-Chem consists of several chemistry components, e.g., emission inventories, aerosolchemistry mechanism, aqueous and gas phase mechanism, dry and wet deposition, and photolysis, and has been widely used to study aerosol emission and transport (e.g., Dhital et al, 2022;Parajuli et al, 2019) and aerosol-cloud-radiationclimate interaction (e.g., Wu et al, 2018;Fan et al, 2015;Sarangi et al, 2015;Archer-Nicholls et al, 2016;Liu et al, 2020) around the globe.…”
Section: Model Descriptionmentioning
confidence: 99%