A global aerosol model forecast for the ACE-Asia field experiment

被引:68
作者
Chin, M
Ginoux, P
Lucchesi, R
Huebert, B
Weber, R
Anderson, T
Masonis, S
Blomquist, B
Bandy, A
Thornton, D
机构
[1] Georgia Inst Technol, Sch Earth & Atmospher Sci, Atlanta, GA 30332 USA
[2] NOAA, Geophys Fluid Dynam Lab, Princeton, NJ 08542 USA
[3] Sci Applicat Int Corp, Beltsville, MD USA
[4] NASA, Data Assimilat Off, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[5] Univ Hawaii, Dept Oceanog, Honolulu, HI 96822 USA
[6] Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA
[7] Drexel Univ, Dept Chem, Philadelphia, PA 19104 USA
关键词
ACE-Asia; forecast; global model;
D O I
10.1029/2003JD003642
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 26 条
  • [1] Variability of aerosol optical properties derived from in situ aircraft measurements during ACE-Asia
    Anderson, TL
    Masonis, SJ
    Covert, DS
    Ahlquist, NC
    Howell, SG
    Clarke, AD
    McNaughton, CS
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2003, 108 (D23)
  • [2] *CHIN COMM IMPL CO, 1997, CHIN COUNTR PAP COMB
  • [3] Atmospheric sulfur cycle simulated in the global model GOCART: Comparison with field observations and regional budgets
    Chin, M
    Savoie, DL
    Huebert, BJ
    Bandy, AR
    Thornton, DC
    Bates, TS
    Quinn, PK
    Saltzman, ES
    De Bruyn, WJ
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2000, 105 (D20) : 24689 - 24712
  • [4] Chin M, 2002, J ATMOS SCI, V59, P461, DOI 10.1175/1520-0469(2002)059<0461:TAOTFT>2.0.CO
  • [5] 2
  • [6] CHIN M, 2000, J GEOPHYS RES, V105, P24661
  • [7] CHIN M, 2002, IGAC 2002 C CRET GRE
  • [8] Construction of a 1° x 1° fossil fuel emission data set for carbonaceous aerosol and implementation and radiative impact in the ECHAM4 model
    Cooke, WF
    Liousse, C
    Cachier, H
    Feichter, J
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1999, 104 (D18) : 22137 - 22162
  • [9] d'Almeida G.A., 1991, ATMOSPHERIC AEROSOLS
  • [10] NDVI-DERIVED LAND-COVER CLASSIFICATIONS AT A GLOBAL-SCALE
    DEFRIES, RS
    TOWNSHEND, JRG
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (17) : 3567 - 3586