Improving the sectional Model for Simulating Aerosol Interactions and Chemistry (MOSAIC) aerosols of the Weather Research and Forecasting-Chemistry (WRF-Chem) model with the revised Gridpoint Statistical Interpolation system and multi-wavelength aerosol optical measurements: the dust aerosol observation campaign at Kashi, near the Taklimakan Desert, northwestern China
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Published:2021-03-22
Issue:6
Volume:21
Page:4403-4430
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Chang WenyuanORCID, Zhang YingORCID, Li Zhengqiang, Chen Jie, Li KaitaoORCID
Abstract
Abstract. The Gridpoint Statistical Interpolation data assimilation (DA) system was
developed for the four size bin sectional Model for Simulating Aerosol
Interactions and Chemistry (MOSAIC) aerosol mechanism in the Weather
Research and Forecasting-Chemistry (WRF-Chem) model. The forward and tangent
linear operators for the aerosol optical depth (AOD) analysis were derived
from WRF-Chem aerosol optical code. We applied three-dimensional variational
DA to assimilate the multi-wavelength AOD, ambient aerosol scattering
coefficient, and aerosol absorption coefficient, measured by the sun–sky
photometer, nephelometer, and aethalometer, respectively. These measurements were
undertaken during a dust observation field campaign at Kashi in northwestern
China in April 2019. The results showed that the DA analyses decreased the
model aerosols' low biases; however, it had some deficiencies. Assimilating
the surface particle concentration increased the coarse particles in the
dust episodes, but AOD and the coefficients for aerosol scattering and
absorption were still lower than those observed. Assimilating aerosol
scattering coefficient separately from AOD improved the two optical
quantities. However, it caused an overestimation of the particle
concentrations at the surface. Assimilating the aerosol absorption
coefficient yielded the highest positive bias in the surface particle
concentration, aerosol scattering coefficient, and AOD. The positive biases
in the DA analysis were caused by the forward operator underestimating
aerosol mass scattering and absorption efficiency. As compensation, the DA
system increased particle concentrations excessively to fit the observed
optical values. The best overall improvements were obtained from the
simultaneous assimilation of the surface particle concentration and AOD. The
assimilation did not substantially change the aerosol chemical fractions.
After DA, the clear-sky aerosol radiative forcing at Kashi was −10.4 W m−2
at the top of the atmosphere, which was 55 % higher than the
radiative forcing value before DA.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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