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Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system

A new windblown dust emission treatment was incorporated in the Community Multiscale Air Quality (CMAQ) modeling system. This new model treatment has been built upon previously developed physics-based parameterization schemes from the literature. A distinct and novel feature of this scheme, however,...

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Autores principales: Foroutan, H., Young, J., Napelenok, S., Ran, L., Appel, K. W., Gilliam, R. C., Pleim, J. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145470/
https://www.ncbi.nlm.nih.gov/pubmed/30245776
http://dx.doi.org/10.1002/2016MS000823
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author Foroutan, H.
Young, J.
Napelenok, S.
Ran, L.
Appel, K. W.
Gilliam, R. C.
Pleim, J. E.
author_facet Foroutan, H.
Young, J.
Napelenok, S.
Ran, L.
Appel, K. W.
Gilliam, R. C.
Pleim, J. E.
author_sort Foroutan, H.
collection PubMed
description A new windblown dust emission treatment was incorporated in the Community Multiscale Air Quality (CMAQ) modeling system. This new model treatment has been built upon previously developed physics-based parameterization schemes from the literature. A distinct and novel feature of this scheme, however, is the incorporation of a newly developed dynamic relation for the surface roughness length relevant to small-scale dust generation processes. Through this implementation, the effect of nonerodible elements on the local flow acceleration, drag partitioning, and surface coverage protection is modeled in a physically based and consistent manner. Careful attention is paid in integrating the new windblown dust treatment in the CMAQ model to ensure that the required input parameters are correctly configured. To test the performance of the new dust module in CMAQ, the entire year 2011 is simulated for the continental United States, with particular emphasis on the southwestern United States (SWUS) where windblown dust concentrations are relatively large. Overall, the model shows good performance with the daily mean bias of soil concentrations fluctuating in the range of ±1 μg m(−3) for the entire year. Springtime soil concentrations are in quite good agreement (normalized mean bias of 8.3%) with observations, while moderate to high underestimation of soil concentration is seen in the summertime. The latter is attributed to the issue of representing the convective dust storms in summertime. Evaluations against observations for seven elevated dust events in the SWUS indicate that the new windblown dust treatment is capable of capturing spatial and temporal characteristics of dust outbreaks.
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spelling pubmed-61454702018-09-19 Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system Foroutan, H. Young, J. Napelenok, S. Ran, L. Appel, K. W. Gilliam, R. C. Pleim, J. E. J Adv Model Earth Syst Article A new windblown dust emission treatment was incorporated in the Community Multiscale Air Quality (CMAQ) modeling system. This new model treatment has been built upon previously developed physics-based parameterization schemes from the literature. A distinct and novel feature of this scheme, however, is the incorporation of a newly developed dynamic relation for the surface roughness length relevant to small-scale dust generation processes. Through this implementation, the effect of nonerodible elements on the local flow acceleration, drag partitioning, and surface coverage protection is modeled in a physically based and consistent manner. Careful attention is paid in integrating the new windblown dust treatment in the CMAQ model to ensure that the required input parameters are correctly configured. To test the performance of the new dust module in CMAQ, the entire year 2011 is simulated for the continental United States, with particular emphasis on the southwestern United States (SWUS) where windblown dust concentrations are relatively large. Overall, the model shows good performance with the daily mean bias of soil concentrations fluctuating in the range of ±1 μg m(−3) for the entire year. Springtime soil concentrations are in quite good agreement (normalized mean bias of 8.3%) with observations, while moderate to high underestimation of soil concentration is seen in the summertime. The latter is attributed to the issue of representing the convective dust storms in summertime. Evaluations against observations for seven elevated dust events in the SWUS indicate that the new windblown dust treatment is capable of capturing spatial and temporal characteristics of dust outbreaks. 2017-03 /pmc/articles/PMC6145470/ /pubmed/30245776 http://dx.doi.org/10.1002/2016MS000823 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Article
Foroutan, H.
Young, J.
Napelenok, S.
Ran, L.
Appel, K. W.
Gilliam, R. C.
Pleim, J. E.
Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title_full Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title_fullStr Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title_full_unstemmed Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title_short Development and evaluation of a physics-based windblown dust emission scheme implemented in the CMAQ modeling system
title_sort development and evaluation of a physics-based windblown dust emission scheme implemented in the cmaq modeling system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145470/
https://www.ncbi.nlm.nih.gov/pubmed/30245776
http://dx.doi.org/10.1002/2016MS000823
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