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JOURNAL OF GEOPHYSICAL RESEARCH,
VOL. 108, NO. D23,
8654,
doi:10.1029/2003JD003642,
2003
A global aerosol model forecast for the ACE-Asia field experiment
Mian Chin
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Paul Ginoux
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA
Robert Lucchesi
Science Applications International Corporation, Beltsville, Maryland, USA
Barry Huebert
Department of Oceanography, University of Hawaii, Honolulu, Hawaii, USA
Rodney Weber
School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA
Tad Anderson
Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA
Sarah Masonis
Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA
Byron Blomquist
Department of Oceanography, University of Hawaii, Honolulu, Hawaii, USA
Alan Bandy
Department of Chemistry, Drexel University, Philadelphia, Pennsylvania, USA
Donald Thornton
Department of Chemistry, Drexel University, Philadelphia, Pennsylvania, USA
Abstract
We present the results of aerosol forecast during the ACE-Asia field experiment in spring 2001, using the Georgia Tech/Goddard
Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model and the meteorological forecast fields from the Goddard
Earth Observing System Data Assimilation System (GEOS DAS). The model provides direct information on aerosol optical thickness
and concentrations for effective flight planning, while feedbacks from measurements constantly evaluate the model for successful
model improvements. We verify the model forecast skill by comparing model-predicted aerosol quantities and meteorological
variables with those measured by the C-130 aircraft. The GEOS DAS meteorological forecast system shows excellent skills in
predicting winds, relative humidity, and temperature, with skill scores usually in the range of 0.7–0.99. The model is also
skillful in forecasting pollution aerosols, with most scores above 0.5. The model correctly predicted the dust outbreak events
and their trans-Pacific transport, but it constantly missed the high dust concentrations observed in the boundary layer. We
attribute this “missing” dust source to desertification regions in the Inner Mongolia Province in China, which have developed
in recent years but were not included in the model during forecasting. After incorporating the desertification sources, the
model is able to reproduce the observed boundary layer high dust concentrations over the Yellow Sea. We demonstrate that our
global model can not only account for the large-scale intercontinental transport but also produce the small-scale spatial
and temporal variations that are adequate for aircraft measurements planning.
Received 27
March
2003;
accepted 27
June
2003;
published 28
August
2003.
Index Terms: 0305 Atmospheric Composition and Structure: Aerosols and particles (0345, 4801); 0365 Atmospheric Composition and Structure: Troposphere—composition and chemistry; 0368 Atmospheric Composition and Structure: Troposphere—constituent transport and chemistry.
Read Full Article (file size: 3057542 bytes) Cited by
Citation: Chin, M., P. Ginoux, R. Lucchesi, B. Huebert, R. Weber, T. Anderson, S. Masonis, B. Blomquist, A. Bandy, and D. Thornton
(2003),
A global aerosol model forecast for the ACE-Asia field experiment,
J. Geophys. Res.,
108(D23),
8654,
doi:10.1029/2003JD003642.
Copyright 2003 by the American Geophysical Union.
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