4.7 Article

Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations

期刊

GEOPHYSICAL RESEARCH LETTERS
卷 41, 期 24, 页码 9188-9196

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2014GL062089

关键词

Data assimilation; AOD; GSI; WRF-Chem; Pollution episode; modeling

资金

  1. NSF [1049140 NCE]
  2. NASA [NNX11AI52G]
  3. EPA [83503701]
  4. National Center for Research Resources (NCRR), a part of the National Institutes of Health (NIH) [UL1RR024979]
  5. Eco Innovation Program of KEITI [2012000160002]
  6. NASA [144582, NNX11AI52G] Funding Source: Federal RePORTER

向作者/读者索取更多资源

Planned geostationary satellites will provide aerosol optical depth (AOD) retrievals at high temporal and spatial resolution which will be incorporated into current assimilation systems that use low-Earth orbiting (e.g., Moderate Resolution Imaging Spectroradiometer (MODIS)) AOD. The impacts of such additions are explored in a real case scenario using AOD from the Geostationary Ocean Color Imager (GOCI) on board of the Communication, Ocean, and Meteorology Satellite, a geostationary satellite observing northeast Asia. The addition of GOCI AOD into the assimilation system generated positive impacts, which were found to be substantial in comparison to only assimilating MODIS AOD. We found that GOCI AOD can help significantly to improve surface air quality simulations in Korea for dust, biomass burning smoke, and anthropogenic pollution episodes when the model represents the extent of the pollution episodes and retrievals are not contaminated by clouds. We anticipate future geostationary missions to considerably contribute to air quality forecasting and provide better reanalyses for health assessments and climate studies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据