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Dust emission in northern China : atmospheric emission–dispersion modelling of a major dust event

Auteur(s) et Affiliation(s)

PASQUI, M.
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
TARAMELLI, A.
ISPRA, Inst. for Environmental Research, Rome, Italie
BARBOUR, J.
Lamont Doherty Earth Observatory, Columbia University, New York, Etats-Unis
Lamont Doherty Earth Observatory, Columbia University, New York, Etats-Unis
BOTTAI, L.
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, Italie
BUSILLO, C.
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, Italie
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, Italie
GUALTIERI, G.
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, Italie
GUARNIERI, F.
Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, Italie
LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, Italie
SMALL, C.
Lamont Doherty Earth Observatory, Columbia University, New York, Etats-Unis


Description :
The AA. propose a simulation system that integrates 3 different models in order to represent the whole dust cycle. The RAMS atmospheric model configuration has 2 nested grids, at 50 km and 10 km horizontal resolution, and is used to force both the dust emission model DUSTEM, and the transport model CAMx. The performance of the three-model simulation system was evaluated using a major dust storm that occurred in March 2002 in the desert of the Alashan Prefecture (Inner Mongolia, China) and which had a significant impact over a large area in northern China. In order to identify potential active dust sources, a specific remote sensed analysis, calibrated through a field campaign in the Alashan Prefecture region, has been assimilated in the modelling system. Simulated dust storm features, from the higher resolution grid, are in good agreement with observed data. This integrated numerical model, along with the remote sensed land surface characterization, is suggested to be a practical and flexible tool for simulating and analysing the whole dust storm dynamics.


Type de document :
Article de périodique

Source :
Earth surface processes and landforms, issn : 0197-9337, 2013, vol. 38, n°. 12, p. 1354-1368, nombre de pages : 15, Références bibliographiques : 2 p.

Date :
2013

Editeur :
Pays édition : Royaume-Uni, Chichester, Wiley

Langue :
Anglais
Droits :
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