期刊
GEOPHYSICAL RESEARCH LETTERS
卷 43, 期 11, 页码 5886-5894出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/2016GL069298
关键词
aerosol; data assimilation; geostationary satellite; aerosol climate model; ensemble Kalman filter
资金
- Japan Society for the Promotion of Science (JSPS) KAKENHI [25220101, 26701004, 15 K05296, 16H02946]
- Environment Research and Technology Development Fund of the Japanese Ministry of Environment [S-12]
- Japan Aerospace eXploration Agency (JAXA)/Global Change Observation Mission (GCOM-C)
- Japan Science and Technology Agency (JST)/CREST/EMS/TEEDDA
- JSPS Core-to-Core Program
- Grants-in-Aid for Scientific Research [16H02946, 16K00512, 15H01728, 15K05296] Funding Source: KAKEN
Himawari-8, a next-generation geostationary meteorological satellite, was launched on 7 October 2014 and became operational on 7 July 2015. The advanced imager on board Himawari-8 is equipped with 16 observational bands (including three visible and three near-infrared bands) that enable retrieval of full-disk aerosol optical properties at 10min intervals from geostationary (GEO) orbit. Here we show the first application of aerosol optical properties (AOPs) derived from Himawari-8 data to aerosol data assimilation. Validation of the assimilation experiment by comparison with independent observations demonstrated successful modeling of continental pollution that was not predicted by simulation without assimilation and reduced overestimates of dust front concentrations. These promising results suggest that AOPs derived from Himawari-8/9 and other planned GEO satellites will considerably improve forecasts of air quality, inverse modeling of emissions, and aerosol reanalysis through assimilation techniques.
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