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Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite

机译:使用下一代地球静止气象卫星Himawari-8的数据对气溶胶数据进行同化

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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.
机译:下一代地球静止气象卫星Himawari-8于2014年10月7日发射升空,并于2015年7月7日投入运行。Himawari-8上的先进成像仪配备有16个观测波段(包括三个可见波段和三个近红外波段) ),可以从地球静止(GEO)轨道每隔10分钟检索一次全盘气溶胶光学特性。在这里,我们展示了从Himawari-8数据派生的气溶胶光学特性(AOP)在气溶胶数据同化中的首次应用。通过与独立观测结果进行比较,对同化实验进行了验证,结果表明成功建立了大陆污染模型,而没有进行同化则无法通过模拟进行预测,并且减少了对尘埃前沿浓度的过高估计。这些有希望的结果表明,从Himawari-8 / 9和其他计划中的GEO卫星获得的AOP将大大改善对空气质量的预测,排放的反模型以及通过同化技术进行的气溶胶再分析。

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