Sensitivity of photolysis frequencies and key tropospheric oxidants in a global model to cloud vertical distributions and optical properties

Abstract. Aerosols have great impacts on atmospheric environment, human health, and earth's climate. Therefore, information on their spatial and temporal distribution is of paramount importance. Despite numerous studies have examined the variation and trends of BC and AOD over India, only very few have focused on their spatial distribution or even correlating the observations with model simulations. In the present study, a three-dimensional aerosol transport-radiation model coupled with a general circulation model. SPRINTARS, simulated atmospheric aerosol distributions including BC and aerosol optical properties, i.e., aerosol optical thickness (AOT), Ångström Exponent (AE), and single scattering albedo (SSA). The simulated results are compared with both BC measurements by aethalometer and aerosol optical properties measured by ground-based skyradiometer and by satellite sensor, MODIS/Terra over Hyderabad, which is a tropical urban area of India, for the year 2008. The simulated AOT and AE in Hyderabad are found to be comparable to ground-based measured ones. The simulated SSA tends to be higher than the ground-based measurements. Both these comparisons of aerosol optical properties between the simulations with different emission inventories and the measurements indicate that, firstly the model uncertainties derived from aerosol emission inventory cannot explain the gaps between the simulations and the measurements and secondly the vertical transport of BC and the treatment of BC-containing particles can be the main issue in the global model to solve the gap.

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Vertical distributions of aerosol microphysical and optical properties based on aircraft measurements made over the Loess Plateau in China

Atmospheric Environment ◽

10.1016/j.atmosenv.2021.118888 ◽

2021 ◽

pp. 118888

Author(s):

Zhaoxin Cai ◽

Zhanqing Li ◽

Peiren Li ◽

Junxia Li ◽

Hongping Sun ◽

...

Keyword(s):

Optical Properties ◽

Loess Plateau ◽

Aircraft Measurements ◽

The Loess Plateau ◽

Vertical Distributions

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Vertical distributions of aerosol optical properties during the spring 2016 ARIAs airborne campaign in the North China Plain

10.5194/acp-2017-1021 ◽

2018 ◽

Author(s):

Fei Wang ◽

Zhanqing Li ◽

Xinrong Ren ◽

Qi Jiang ◽

Hao He ◽

...

Keyword(s):

Optical Properties ◽

North China Plain ◽

North China ◽

Aerosol Optical Properties ◽

Air Masses ◽

Scattering Coefficients ◽

The North ◽

The North China Plain ◽

Aerosol Scattering ◽

Vertical Distributions

Abstract. Vertical distributions of aerosol optical properties derived from measurements made during 11 aircraft flights over the North China Plain (NCP) in May–June 2016 during the Air Chemistry Research In Asia (ARIAs) were analyzed. Aerosol optical data from in situ aircraft measurements shows good correlation with ground-based measurements. The regional variability of aerosol optical profiles such as aerosol scattering and backscattering, absorption, extinction, single scattering albedo (SSA), and the Ångström exponent (α) are for the first time thoroughly characterized over the NCP. The SSA at 550 nm showed a regional mean value of 0.85 ± 0.02 with moderate to strong absorption and the α ranged from 0.49 to 2.53 (median 1.53) indicating both mineral dust and accumulation mode aerosols. Most of the aerosol particles were located in the lowest 2 km of the atmosphere. We describe three typical planetary boundary layer (PBL) scenarios and associated transport pathways as well as the correlation between aerosol scattering coefficients and relative humidity (RH). Aerosol scattering coefficients decreased slowly with height in the clean PBL condition, but decreased sharply above the PBL under polluted conditions, which showed a strong correlation (R2 &geq; 0.78) with ambient RH. Back-trajectory analysis shows that clean air masses generally originated from the distant north-western part of China while most of the polluted air masses were from the heavily polluted interior and coastal areas near the campaign area.

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Vertical distributions of aerosol optical properties during haze and floating dust weather in Shanghai

Journal of Meteorological Research ◽

10.1007/s13351-016-5092-4 ◽

2016 ◽

Vol 30 (4) ◽

pp. 598-613 ◽

Cited By ~ 6

Author(s):

Qiong Liu ◽

Yuan Wang ◽

Zhongyu Kuang ◽

Sihua Fang ◽

Yonghang Chen ◽

...

Keyword(s):

Optical Properties ◽

Aerosol Optical Properties ◽

Vertical Distributions ◽

Dust Weather

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Design of the Ship-Borne Multi-Wavelength Polarization Ocean Lidar System and Measurement of Seawater Optical Properties

EPJ Web of Conferences ◽

10.1051/epjconf/202023707007 ◽

2020 ◽

Vol 237 ◽

pp. 07007

Author(s):

Qi Liu ◽

Bingyi Liu ◽

Songhua Wu ◽

Jintao Liu ◽

Kailin Zhang ◽

...

Keyword(s):

Optical Properties ◽

Attenuation Coefficient ◽

Jiaozhou Bay ◽

Field Of View ◽

Optical Parameters ◽

Ocean Optics ◽

Lidar System ◽

Sea Trial ◽

Vertical Distributions ◽

Multi Wavelength

A ship-borne multi-wavelength polarization ocean lidar system LOOP (Lidar for Ocean Optics Profiler) is introduced in detail, aiming to obtain high-precision vertical profiles of seawater optical characteristics. Based on Monte-Carlo simulation, the receiving telescope is designed with a variable field of view, producing system attenuation coefficient (Klidar) approximating the optical parameters of seawater under a different field of view and water body conditions. At first, a sea trial was conducted in Jiaozhou Bay, and the measured diffuse attenuation coefficient (Kd) of seawater was 0.3m−1, being in good agreement compared with the results measured by field instrument TriOS. Then a field campaign was organized in the South China Sea. The measurement of the seawater diffuse attenuation (Kd) was 0.035m−1. These results support the prospects that lidar, as an effective tool supplement to traditional passive ocean color remote sensing, can provide the vertical distributions of optical properties in the upper ocean.

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Vertical distributions of aerosol optical properties during the spring 2016 ARIAs airborne campaign in the North China Plain

Atmospheric Chemistry and Physics ◽

10.5194/acp-18-8995-2018 ◽

2018 ◽

Vol 18 (12) ◽

pp. 8995-9010 ◽

Cited By ~ 8

Author(s):

Fei Wang ◽

Zhanqing Li ◽

Xinrong Ren ◽

Qi Jiang ◽

Hao He ◽

...

Keyword(s):

Optical Properties ◽

North China Plain ◽

North China ◽

Aerosol Optical Properties ◽

Air Masses ◽

Scattering Coefficients ◽

The North ◽

The North China Plain ◽

Aerosol Scattering ◽

Vertical Distributions

Abstract. Vertical distributions of aerosol optical properties derived from measurements made during 11 aircraft flights over the North China Plain (NCP) in May–June 2016 during the Air Chemistry Research In Asia (ARIAs) were analyzed. Aerosol optical data from in situ aircraft measurements show good correlation with ground-based measurements. The regional variability of aerosol optical profiles such as aerosol scattering and backscattering, absorption, extinction, single scattering albedo (SSA), and the Ångström exponent (α) are thoroughly characterized for the first time over the NCP. The SSA at 550 nm showed a regional mean value of 0.85 ± 0.02 with moderate to strong absorption and the α ranged from 0.49 to 2.53 (median 1.53), indicating both mineral dust and accumulation-mode aerosols. Most of the aerosol particles were located in the lowest 2 km of the atmosphere. We describe three typical planetary boundary layer (PBL) scenarios and associated transport pathways as well as the correlation between aerosol scattering coefficients and relative humidity (RH). Aerosol scattering coefficients decreased slowly with height in the clean PBL condition, but decreased sharply above the PBL under polluted conditions, which showed a strong correlation (R2 ≥ 0.78) with ambient RH. Back-trajectory analysis shows that clean air masses generally originated from the distant northwestern part of China, while most of the polluted air masses were from the heavily polluted interior and coastal areas near the campaign region.

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