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Data associated with "Convective distribution of dust over the Arabian Peninsula: the impact of model resolution"

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dc.contributor.authorBukowski, Jennie
dc.contributor.authorvan den Heever, Sue
dc.date.accessioned2020-03-02T23:05:33Z
dc.date.available2020-03-02T23:05:33Z
dc.date.issued2020
dc.descriptionThese data represent the model namelists used to generate simulations using the Weather Research and Forecasting Model Coupled to Atmospheric Chemistry (WRF-Chem) version 3.9.1.en_US
dc.descriptionDepartment of Atmospheric Science
dc.description.abstractAlong the coasts of the Arabian Peninsula, convective dust storms are a considerable source of mineral dust to the atmosphere. Reliable predictions of convective dust events are necessary to determine their effects on air quality, visibility, and the radiation budget. In this study, the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem) is used to simulate a 2016 summertime dust event over the Arabian Peninsula and examine the variability in dust fields and associated vertical transport due to the choice of convective parameterization and explicit versus parameterized convection. Simulations are run at 45 km and 15 km grid spacing with multiple cumulus parameterizations, and are compared to a 3 km simulation that permits explicit convective processes. Five separate cumulus parameterizations at 15 km grid spacing were tested to quantify the spread across different parameterizations. Finally, the impact these variations have on radiation, specifically aerosol heating rates is also investigated. On average, in these simulations the explicit case produces higher quantities of dust than the parameterized cases in terms of dust uplift potential, vertical dust concentrations, and vertical dust fluxes. Major drivers of this discrepancy between the simulations stem from the explicit case exhibiting higher surface windspeeds during convective activity, lower dust emission wind threshold velocities due to drier soil, and more frequent, stronger vertical velocities which transport dust aloft and increase the atmospheric lifetime of these particles. For aerosol heating rates in the lowest levels, the shortwave effect prevails in the explicit case with a net cooling effect, whereas a longwave net warming effect is present in the parameterized cases. The spread in dust concentrations across cumulus parameterizations at the same grid resolution (15 km) is an order of magnitude lower than the impact of moving from parameterized to explicit convection. We conclude that tuning dust emissions in coarse resolution simulations can only improve the results to first-order and cannot fully rectify the discrepancies originating from disparities in the representation of convective dust transport.en_US
dc.description.sponsorshipOffice of Naval Research – Multidisciplinary University Research Initiative (ONR532 MURI) grant (# N00014-16-1-2040).en_US
dc.format.mediumRTF
dc.identifier.urihttps://hdl.handle.net/10217/201142
dc.identifier.urihttp://dx.doi.org/10.25675/10217/201142
dc.languageEnglishen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyBukowski, J. and van den Heever, S. C.: Convective distribution of dust over the Arabian Peninsula: the impact of model resolution, Atmos. Chem. Phys., 20, 2967–2986, https://doi.org/10.5194/acp-20-2967-2020, 2020.en_US
dc.subjectdust
dc.subjectmineral dust
dc.subjectair quality
dc.subjectdust lofting
dc.subjectnumerical modeling
dc.subjectweather models
dc.subjectdust prediction
dc.subjectconvective parameterizations
dc.subjectArabian Peninsula
dc.titleData associated with "Convective distribution of dust over the Arabian Peninsula: the impact of model resolution"en_US
dc.typeDataseten_US

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