Abstract

The horizontal and vertical distributions of aerosol optical properties over China in 2013–2015 were investigated using RAMS (Regional Atmospheric Modeling System)-CMAQ (Models-3 Community Multiscale Air Quality) simulations and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) observations. To better understand the performance of the RAMS-CMAQ model over China, comparisons with the ground-based Sun photometers AERONET (Aerosol Robotic Network), MODIS (Moderate Resolution Imaging Spectroradiometers) data and the on-board Lidar CALIOP were used for comprehensive evaluations, which could characterize the abilities of the model to simulate the spatial and vertical distributions of the AOD (Aerosol Optical Depth) as well as the optical properties for four seasons. Several high value areas (e.g., the Sichuan Basin, Taklamakan Desert, North China Plain, and Yangtze River Delta) were found over China during the study period, with the maximum mean AOD (CALIOP: ~0.7; RAMS-CMAQ: >1) in the Sichuan district. Compared with AODs of AERONET, both the CALIOP and RAMS-CMAQ AODs were underestimated, but the RAMS-CMAQ data show a better correlation with AERONET (AERONET vs. RAMS-CMAQ R: 0.69, AERONET vs. CALIOP R: 0.5). The correlation coefficients between RAMS-CMAQ and CALIOP are approximately 0.6 for all four seasons. The AEC (Aerosol Extinction Coefficient) vertical profiles over major cities and their cross sections exhibit two typical features: (1) most of the AEC peaks occurred in the lowest ~0.5 km, decreasing with increasing altitude; and (2) the RAMS-CMAQ AEC underestimated the region with high AODs in the northwest of China and overestimated the region with high AODs in the east–central plain and the central basin regions. The major difference in the AEC values of RAMS-CMAQ and CALIOP is mainly caused by the level of relative humidity and the hygroscopic growth effects of water-soluble aerosols, especially, in the Sichuan district. In general, both the column and vertical RAMS-CMAQ aerosol optical properties could be supplemented efficiently when satellite observations are not available or invalid over China in the applications of climate change and air pollution.

Highlights

  • Aerosols in the atmosphere play an important role in global climate change, the radiation balance, and particulate pollution

  • The CALIOP and RAMS-CMAQ data matched to the AERONET AOD are not in complete agreement in terms of their dates, times and locations

  • The CALIOP or RAMS-CMAQ data that satisfied the filter rules mentioned in Section 2.3 are used for the calculation of the monthly AOD means

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Summary

Introduction

Aerosols in the atmosphere play an important role in global climate change, the radiation balance, and particulate pollution. Aerosol particles acting as cloud condensation nuclei can indirectly affect the radiation budget by modifying the efficiency of droplet freezing, contributing to the modulation of droplet growth, and changing the onset of precipitation in convective clouds [1] Aerosol optical properties, such as the extinction, scattering, and absorption coefficients, are major factors that influence these radiative effects [2]. Performing multi-instrumental measurements to investigate the aerosol optical properties and radiative transfer is efficient in Saharan dust [6,7] Both passive and active satellite sensors can be used for aerosol detection from space. Han et al investigated the aerosol optical properties using RAMS-CMAQ in East Asia, and their modeled AOD results showed a strong agreement with AERONET, CSHNET (Chinese Sun Hazemeter Network) and MODIS observations [16].

RAMS-CMAQ Model
RAMS-CMAQ 550 nm AOD Calculation
CALIOP Data
Data Processing
AOD Validation Using AERONET Data
Spatial Distributions of AODs
Although
VerticalThe
Cross Sections of the Vertical Aerosol Distribution over China
Conclusions
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