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Estimation of GEOS-Chem and GOCART Simulated Aerosol Profiles Using CALIPSO Observations over the Contiguous United States

Category: Optical/Radiative Properties and Remote Sensing

Volume: 16 | Issue: 12 | Pages: 3256-3265
DOI: 10.4209/aaqr.2015.03.0173
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Shenshen Li1,2, Liangfu Chen1, Meng Fan1, Jinhua Tao1, Zhongting Wang3, Chao Yu1, Yidan Si1, Husi Letu1, Yang Liu 2

  • 1 State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
  • 2 Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA
  • 3 Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China


GEOS-Chem and GOCART aerosol profiles are evaluated by CALIPSO data.

Both models underestimate aerosol extinction coefficients in eastern US.

The discrepancies are attributed to model configuration and emission inventories.

Aggregation to annual level can significantly improve the agreement.


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.



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