Cargando…

Quantifying global dust devil occurrence from meteorological analyses

Dust devils and nonrotating dusty plumes are effective uplift mechanisms for fine particles, but their contribution to the global dust budget is uncertain. By applying known bulk thermodynamic criteria to European Centre for Medium-Range Weather Forecasts (ECMWF) operational analyses, we provide the...

Descripción completa

Detalles Bibliográficos
Autores principales: Jemmett-Smith, Bradley C, Marsham, John H, Knippertz, Peter, Gilkeson, Carl A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670712/
https://www.ncbi.nlm.nih.gov/pubmed/26681815
http://dx.doi.org/10.1002/2015GL063078
_version_ 1782404298075799552
author Jemmett-Smith, Bradley C
Marsham, John H
Knippertz, Peter
Gilkeson, Carl A
author_facet Jemmett-Smith, Bradley C
Marsham, John H
Knippertz, Peter
Gilkeson, Carl A
author_sort Jemmett-Smith, Bradley C
collection PubMed
description Dust devils and nonrotating dusty plumes are effective uplift mechanisms for fine particles, but their contribution to the global dust budget is uncertain. By applying known bulk thermodynamic criteria to European Centre for Medium-Range Weather Forecasts (ECMWF) operational analyses, we provide the first global hourly climatology of potential dust devil and dusty plume (PDDP) occurrence. In agreement with observations, activity is highest from late morning into the afternoon. Combining PDDP frequencies with dust source maps and typical emission values gives the best estimate of global contributions of 3.4% (uncertainty 0.9–31%), 1 order of magnitude lower than the only estimate previously published. Total global hours of dust uplift by dry convection are ∼0.002% of the dust-lifting winds resolved by ECMWF, consistent with dry convection making a small contribution to global uplift. Reducing uncertainty requires better knowledge of factors controlling PDDP occurrence, source regions, and dust fluxes induced by dry convection. KEY POINTS: Global potential dust devil occurrence quantified from meteorological analyses . Climatology shows realistic diurnal cycle and geographical distribution . Best estimate of global contribution of 3.4% is 10 times smaller than the previous estimate ;
format Online
Article
Text
id pubmed-4670712
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher John Wiley & Sons, Ltd
record_format MEDLINE/PubMed
spelling pubmed-46707122015-12-15 Quantifying global dust devil occurrence from meteorological analyses Jemmett-Smith, Bradley C Marsham, John H Knippertz, Peter Gilkeson, Carl A Geophys Res Lett Research Letters Dust devils and nonrotating dusty plumes are effective uplift mechanisms for fine particles, but their contribution to the global dust budget is uncertain. By applying known bulk thermodynamic criteria to European Centre for Medium-Range Weather Forecasts (ECMWF) operational analyses, we provide the first global hourly climatology of potential dust devil and dusty plume (PDDP) occurrence. In agreement with observations, activity is highest from late morning into the afternoon. Combining PDDP frequencies with dust source maps and typical emission values gives the best estimate of global contributions of 3.4% (uncertainty 0.9–31%), 1 order of magnitude lower than the only estimate previously published. Total global hours of dust uplift by dry convection are ∼0.002% of the dust-lifting winds resolved by ECMWF, consistent with dry convection making a small contribution to global uplift. Reducing uncertainty requires better knowledge of factors controlling PDDP occurrence, source regions, and dust fluxes induced by dry convection. KEY POINTS: Global potential dust devil occurrence quantified from meteorological analyses . Climatology shows realistic diurnal cycle and geographical distribution . Best estimate of global contribution of 3.4% is 10 times smaller than the previous estimate ; John Wiley & Sons, Ltd 2015-02-28 2015-02-26 /pmc/articles/PMC4670712/ /pubmed/26681815 http://dx.doi.org/10.1002/2015GL063078 Text en ©2015. The Authors. 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 Research Letters
Jemmett-Smith, Bradley C
Marsham, John H
Knippertz, Peter
Gilkeson, Carl A
Quantifying global dust devil occurrence from meteorological analyses
title Quantifying global dust devil occurrence from meteorological analyses
title_full Quantifying global dust devil occurrence from meteorological analyses
title_fullStr Quantifying global dust devil occurrence from meteorological analyses
title_full_unstemmed Quantifying global dust devil occurrence from meteorological analyses
title_short Quantifying global dust devil occurrence from meteorological analyses
title_sort quantifying global dust devil occurrence from meteorological analyses
topic Research Letters
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4670712/
https://www.ncbi.nlm.nih.gov/pubmed/26681815
http://dx.doi.org/10.1002/2015GL063078
work_keys_str_mv AT jemmettsmithbradleyc quantifyingglobaldustdeviloccurrencefrommeteorologicalanalyses
AT marshamjohnh quantifyingglobaldustdeviloccurrencefrommeteorologicalanalyses
AT knippertzpeter quantifyingglobaldustdeviloccurrencefrommeteorologicalanalyses
AT gilkesoncarla quantifyingglobaldustdeviloccurrencefrommeteorologicalanalyses