Abstract
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. Key Points Geostationary AOD data improves skill of current air quality predictionsImprovements are found for multiple types of pollution events on Northeast AsiaIt serves as a real case scenario support for planned geostationary missions
| Original language | English |
|---|---|
| Pages (from-to) | 9188-9196 |
| Number of pages | 9 |
| Journal | Geophysical Research Letters |
| Volume | 41 |
| Issue number | 24 |
| DOIs | |
| Publication status | Published - 2014 Dec 28 |
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All Science Journal Classification (ASJC) codes
- Geophysics
- Earth and Planetary Sciences(all)
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Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations. / Saide, Pablo E.; Kim, Jhoon; Song, Chul H.; Choi, Myungje; Cheng, Yafang; Carmichael, Gregory R.
In: Geophysical Research Letters, Vol. 41, No. 24, 28.12.2014, p. 9188-9196.Research output: Contribution to journal › Article
TY - JOUR
T1 - Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations
AU - Saide, Pablo E.
AU - Kim, Jhoon
AU - Song, Chul H.
AU - Choi, Myungje
AU - Cheng, Yafang
AU - Carmichael, Gregory R.
PY - 2014/12/28
Y1 - 2014/12/28
N2 - 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. Key Points Geostationary AOD data improves skill of current air quality predictionsImprovements are found for multiple types of pollution events on Northeast AsiaIt serves as a real case scenario support for planned geostationary missions
AB - 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. Key Points Geostationary AOD data improves skill of current air quality predictionsImprovements are found for multiple types of pollution events on Northeast AsiaIt serves as a real case scenario support for planned geostationary missions
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U2 - 10.1002/2014GL062089
DO - 10.1002/2014GL062089
M3 - Article
AN - SCOPUS:84921812352
VL - 41
SP - 9188
EP - 9196
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 24
ER -