A study of the sensitivity of simulated mineral dust production to model resolution

被引:56
作者
Liu, M
Westphal, DL
机构
[1] USN, Res Lab, Marine Meteorol Div, Monterey, CA 93943 USA
[2] Sci Applicat Int Corp, Monterey, CA USA
来源
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES | 2001年 / 106卷 / D16期
关键词
D O I
10.1029/2000JD900711
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The dependence of dust production on model grid-space resolution is investigated using the Navy's operational mesoscale meteorological model with an imbedded dust emission model. The study covers a 2-week period of strong dust storms in April 1998 in the major dust source area of East Asia. The modeled surface winds at grid resolutions of 20, 40, 60, and 80 km are verified against observational data. At all resolutions the model has a positive bias in wind speed that decreases as resolution increases. Dust fluxes that are proportional to the fourth power of the friction velocity (u(*)) and the third power of the wind speed are calculated at all four resolutions and compared. Compared with the 20-km resolution u(*)-driven flux, which is deduced to be the most accurate, the u(*)-driven flux on the coarser grids overestimate the flux, with the 80 km being 60% higher for individual events and nearly 20% higher in the total dust production for the entire study period. The wind-driven flux misses the smaller events due to the lack of a dependence on stability and wind shear, when compared with the timing of surface dust observations, and has differences of up to 70%, when compared with the 20km u(*)-driven flux. Averaging over space and time tends to reduce the differences among grids and might support modeling at coarse resolution.
引用
收藏
页码:18099 / 18112
页数:14
相关论文
共 31 条
[1]   Modeling the size distribution of a soil aerosol produced by sandblasting [J].
Alfaro, SC ;
Gaudichet, A ;
Gomes, L ;
Maille, M .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D10) :11239-11249
[2]  
BAKER NL, 1992, WEATHER FORECAST, V7, P250, DOI 10.1175/1520-0434(1992)007<0250:QCFTNO>2.0.CO
[3]  
2
[4]  
BARKER EH, 1992, WEATHER FORECAST, V7, P220, DOI 10.1175/1520-0434(1992)007<0220:DOTNMO>2.0.CO
[5]  
2
[6]  
CLEMENTS T, 1957, EP53 US ARM NAT LAB
[7]  
COLARCO PR, 1999, WORKSH MIN DUST ATM
[8]   POPULATION, ECONOMIC-GROWTH, AND ENERGY DEMAND, 1985-2020 [J].
GILLAND, B .
POPULATION AND DEVELOPMENT REVIEW, 1988, 14 (02) :233-244
[10]  
Hodur RM, 1997, MON WEATHER REV, V125, P1414, DOI 10.1175/1520-0493(1997)125<1414:TNRLSC>2.0.CO