Estimation of aerosol properties over the Chinese desert region with MODISAOD assimilation in a global model

A Local Ensemble Transform Kalman Filter assimilation system has been implemented into an aerosol-coupled global nonhydrostatic model tosimulate the aerosol mass concentration and aerosol optical properties of 3 desert sites （Ansai, Fukang, Shapotou） in northwestern China. One-monthexperiment result...

Full description

Saved in:
Bibliographic Details
Published in气候变化研究进展：英文版 no. 1; pp. 90 - 98
Main Author YIN Xiao-Mei DAI Tie XIN Jin-Yuan GONG Dao-Yi YANG Jing TERUYUKI Nakajima SHI Guang-Yu
Format Journal Article
LanguageEnglish
Published 2016
Subjects
中分辨率成像光谱仪
中国
光学特性
同化
模型估计
气溶胶光学厚度
沙漠地区
球性
Online AccessGet full text

Cover

More Information
Summary:A Local Ensemble Transform Kalman Filter assimilation system has been implemented into an aerosol-coupled global nonhydrostatic model tosimulate the aerosol mass concentration and aerosol optical properties of 3 desert sites （Ansai, Fukang, Shapotou） in northwestern China. One-monthexperiment results of April 2006 reveal that the data assimilation can correct the much overestimated aerosol surface mass concentration, and has astrong positive effect on the aerosol optical depth （AOD） simulation, improving agreement with observations. Improvement is limited with the？ngstr€om Exponent （AE） simulation, except for much improved correlation coefficient and model skill scores over the Ansai site. Better agreementof the AOD spatial distribution with the independent observations of Terra （Deep Blue） and Multi-angle Imaging Spectroradiometer （MISR） AODsis obtained by assimilating the Moderate Resolution Imaging Spectroradiometer （MODIS） AOD product, especially for regions with AODs lowerthan 0.30. This study confirms the usefulness of the remote sensing observations for the improvement of global aerosol modeling.
Bibliography:Aerosol properties; Aerosol assimilation; Moderate Resolution Imaging Spectroradiometer; Multi-angle Imaging Spectroradiometer; PM10
A Local Ensemble Transform Kalman Filter assimilation system has been implemented into an aerosol-coupled global nonhydrostatic model tosimulate the aerosol mass concentration and aerosol optical properties of 3 desert sites （Ansai, Fukang, Shapotou） in northwestern China. One-monthexperiment results of April 2006 reveal that the data assimilation can correct the much overestimated aerosol surface mass concentration, and has astrong positive effect on the aerosol optical depth （AOD） simulation, improving agreement with observations. Improvement is limited with the？ngstr€om Exponent （AE） simulation, except for much improved correlation coefficient and model skill scores over the Ansai site. Better agreementof the AOD spatial distribution with the independent observations of Terra （Deep Blue） and Multi-angle Imaging Spectroradiometer （MISR） AODsis obtained by assimilating the Moderate Resolution Imaging Spectroradiometer （MODIS） AOD product, especially for regions with AODs lowerthan 0.30. This study confirms the usefulness of the remote sensing observations for the improvement of global aerosol modeling.
11-5918/P
ISSN:1674-9278
1674-9278