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全文摘要次数: 4310 全文下载次数: 359
引用本文:

DOI:

10.11834/jrs.20165106

收稿日期:

2015-05-11

修改日期:

2015-09-29

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中国东部气溶胶光学厚度季节变化的数值模拟
中国科学院大气物理研究所 东亚区域气候-环境重点实验室, 北京 100029
摘要:

气候模式对气溶胶光学厚度AOD的合理模拟,是模拟研究气溶胶气候效应的前提。利用在线耦合的区域气候-大气化学-气溶胶耦合模式系统RIEMS-Chem,模拟研究了2010年中国东部地区AOD的季节变化情况。模拟结果与卫星搭载的中分辨率成像光谱仪(MODIS)的反演资料和地基气溶胶观测网(AERONET)的站点观测资料分别进行了一年四季的详细对比,检验结果显示尽管模拟值有所低估,模式仍然能够合理地反映AOD的季节变化情况和空间分布特征,与AERONET站点观测值相比,整体相关系数为0.6。MODIS反演和相应模拟结果均显示,中国东部地区AOD整体水平夏季最大,春季次之,秋、冬季最小,华北平原、四川盆地和华中地区是AOD的主要大值区。只考虑日间AOD时,其季节分布特征略有不同,在华北平原地区,日间AOD夏季最大(1.1-1.5),在长江中下游流域地区,日间AOD则在春季最大(1.1-1.7);在中国东部,日间AOD的大值在夏、冬两季分别主要分布在长江以北、以南地区,而在春、秋两季则主要位于长江中下游流域。

Numerical simulation of the seasonal variation of aerosol optical depth over eastern China
Abstract:

Aerosol Optical Depth(AOD) is a key factor that reflects the impact of atmospheric aerosol on the climate. The accurate simulation of AOD is the basis for a climatic model in modeling the aerosol climate effects. In this study, an online-coupled three-dimensional regional climate-atmospheric chemistry-aerosol model was used to investigate the AOD over eastern China in 2010 to understand the spatial and seasonal behavior of AOD and the role aerosol plays over this region.
The Regional Integrated Environmental Modeling System online-coupled with atmospheric chemistry and aerosol processes(RIEMS-Chem) was used in this study.This model contains sophisticated atmospheric dynamic, atmospheric chemical, and aerosol chemical processes. The online-coupled system facilitates the model to simulate the impact of aerosol on climatic factors and the feedback of climate on aerosol distribution. Simulated AOD was verified by satellite retrieval of the Moderate-Resolution Imaging Spectroradiometer(MODIS) and insitu measurements from the Aerosol Robotic Network(AERONET) in four seasons.
The comparison of the AOD simulation result with the corresponding MODIS retrieval indicated the capability of the model to reproduce the seasonal variation and spatial distribution of AOD over eastern China, although the model somewhat underestimated the magnitude in summer.The comparison of AOD measurements from the six AERONET sites also showed that the model was able to simulate the spatial and seasonal variation of AOD, but underestimated the magnitude over north China, with an overall correlation coefficient of 0.6 compared with all AERONET measurements. The MODIS retrieval and corresponding simulation result showed that, over eastern China, the AOD was generally higher in summer, followed by spring, and lower in autumn and winter. However, the daytime seasonal mean AOD showed different seasonal distribution patterns:For areas around the North China Plain, the daytime seasonal mean AOD reached its highest level in summer with values ranging from 1.1 to 1.5, but lowest in other seasons. By contrast, over areas of the middle and lower reaches of the Yangtze River, the daytime seasonal mean AOD was reached its highest level in spring with values ranging from 1.1 to 1.7, followed by autumn and winter, but lowest in summer. For the region of eastern China, the daytime seasonal mean AOD reach edits highest level over areas north of the Yangtze River in summer, over areas south of the Yangtze River in winter, and over areas along the middle and lower reaches of the Yangtze River in spring and autumn.
Model verification indicated that RIEMS-Chem was able to reflect the characteristics of AOD distribution and its seasonal variation, but under predicted the observation by approximately 20% in terms of the annual mean. According to the model result, the daytime AOD distribution exhibited distinct subregional and seasonal characteristics over eastern China, implying that, over this region, aerosol optical and climatic effects could be subregional and seasonal dependent.

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