Simulating aerosols using a chemical transport model with assimilation of satellite aerosol retrievals: Methodology for INDOEX

被引:275
作者
Collins, WD
Rasch, PJ
Eaton, BE
Khattatov, BV
Lamarque, JF
Zender, CS
机构
[1] Natl Ctr Atmospher Res, Climate & Global Dynam Div, Boulder, CO 80307 USA
[2] Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA
[3] Univ Calif Irvine, Irvine, CA 92697 USA
关键词
D O I
10.1029/2000JD900507
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 [大气科学]; 070601 [气象学];
摘要
A system for simulating aerosols has been developed using a chemical transport model together with an assimilation of satellite aerosol retrievals. The methodology and model components are described in this paper, and the modeled distribution of aerosols for the Indian Ocean Experiment (INDOEX) is presented by Rasch et al. [this issue]. The system generated aerosol forecasts to guide deployment of ships and aircraft during INDOEX. The system consists of the Model of Atmospheric Transport and Chemistry (MATCH) combined with an assimilation package developed for applications in atmospheric chemistry. MATCH predicts the evolution of sulfate, carbonaceous, and mineral dust aerosols, and it diagnoses the distribution of sea salt aerosols. The model includes a detailed treatment of the sources, chemical transformation, transport, and deposition of the aerosol, species. The aerosol forecasts involve a two-stage process. During the assimilation phase the total column aerosol optical depth (AOD) is estimated from the model aerosol fields. The model state is then adjusted to improve the agreement between the simulated AOD and satellite retrievals of AOD. During the subsequent integration phase the aerosol fields are evolved using meteorological fields from an external model. Comparison of the modeled AOD against estimates of the AOD from INDOEX Sun photometer data show that the differences in daily means are -0.03 +/- 0.06. Although the initial application is limited to the Indian Ocean, the methodology could be extended to derive global aerosol analyses combining in situ and remotely sensed aerosol observations.
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收藏
页码:7313 / 7336
页数:24
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