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(Article of periodic en Anglais - 2013)

Document title

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

Authors(s) and Affiliation(s)

PASQUI M. (1) ; TARAMELLI A. (2) ; BARBOUR J. (3) ; KIRSCHBAUM D. (3) ; BOTTAI L. (1 4) ; BUSILLO C. (1 4) ; CALASTRINI F. (1 4) ; GUALTIERI G. (1 4) ; GUARNIERI F. (1 4) ; SMALL C. (3) ;
(1) Inst. of Biometeorology and National Research Council/IBIMET-CNR, Florence, ITALIE
(2) ISPRA, Inst. for Environmental Research, Rome, ITALIE
(3) Lamont Doherty Earth Observatory, Columbia University, New York, ETATS-UNIS
(4) LaMMa Consortium - Lab. di monitoraggio e modellistica ambientale per lo sviluppo sostenibile, Sesto Fiorentino, ITALIE

Abstract

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

Source

Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2013, vol. 38, no12 [pp. 1354-1368]

Bibliographic references : 2 p.

Collation : 11 fig., 2 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.3371

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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