Estimation of GEOS-Chem and GOCART simulated aerosol profiles using CALIPSO observations over the contiguous United States
文献类型:期刊论文
作者 | Li, Shenshen1; Chen, Liangfu1; Fan, Meng1; Tao, Jinhua1; Wang, Zhongting1; Yu, Chao1; Si, Yidan1; Letu, Husi1; Liu, Yang1 |
刊名 | Aerosol and Air Quality Research
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出版日期 | 2016 |
卷号 | 16期号:12页码:3256-3265 |
通讯作者 | Liu, Yang (yang.liu@emory.edu) |
英文摘要 | Model-simulated aerosol profiles can significantly improve a satellite’s capability to estimate ground-level particle concentrations, but are difficult to validate due to the sparse network of ground-based lidars. We quantitatively evaluated aerosol vertical profiles simulated by the Global 3-D Atmospheric Chemical Transport model (GEOS-Chem) and the Goddard Chemistry Aerosol Radiation and Transport model (GOCART) over the contiguous United States using the Cloud- Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). Model-simulated and satellite-retrieved Aerosol Optical Depth (AOD) are first validated with the Aerosol Robotic Network (AERONET) data. The large discrepancies between satellite and model are due to underestimation of GEOS-Chem AOD in the West and GOCART AOD in the East, along with overestimation of CALIPSO AOD during winter and in the West. Model-simulated Aerosol Extinction Coefficients (AEC) at three layers are evaluated against CALIPSO. Aggregating the data from daily and 2 × 2.5 degree model resolutions to a national or annual scale can significantly improve the correlation coefficient and regression slope. Both GEOS-Chem and GOCART underestimate AEC in the lower troposphere in the East, and in the free troposphere in the West than CALIPSO. We attribute these differences to the coarse horizontal resolution, missing aerosol components, and inappropriate emission inventory of the models. Additionally, the low signal-to-noise ratio and cloud and bright surface reflectance interfere with the satellite’s measurements. © Taiwan Association for Aerosol Research. |
收录类别 | EI |
语种 | 英语 |
WOS记录号 | WOS:20165003115693 |
源URL | [http://ir.radi.ac.cn/handle/183411/39588] ![]() |
专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
作者单位 | 1. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. Rollins School of Public Health, Emory University, Atlanta 4.GA 5.30322, United States 6. Satellite Environment Center, Ministry of Environmental Protection, Beijing 7.100094, China |
推荐引用方式 GB/T 7714 | Li, Shenshen,Chen, Liangfu,Fan, Meng,et al. Estimation of GEOS-Chem and GOCART simulated aerosol profiles using CALIPSO observations over the contiguous United States[J]. Aerosol and Air Quality Research,2016,16(12):3256-3265. |
APA | Li, Shenshen.,Chen, Liangfu.,Fan, Meng.,Tao, Jinhua.,Wang, Zhongting.,...&Liu, Yang.(2016).Estimation of GEOS-Chem and GOCART simulated aerosol profiles using CALIPSO observations over the contiguous United States.Aerosol and Air Quality Research,16(12),3256-3265. |
MLA | Li, Shenshen,et al."Estimation of GEOS-Chem and GOCART simulated aerosol profiles using CALIPSO observations over the contiguous United States".Aerosol and Air Quality Research 16.12(2016):3256-3265. |
入库方式: OAI收割
来源:遥感与数字地球研究所
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