Abstract The Advanced Baseline Imager (ABI) onboard the GOES-R series of geostationary satellites provides an opportunity to generate high-resolution satellite derived wind vectors over continental United States not possible from previous satellites. This study investigates the quality and the impact of assimilating satellite-derived winds (or Atmospheric Motion Vectors, AMVs) from the GOES-16 geostationary satellite on high-impact weather forecasts using the NOAA's ensemble based Warn-on-Forecast System (WoFS). The WoFS runs at convection allowing scales (~3 km) with a 15-min cycling frequency assimilating all available observations including conventional, radar and GOES-16 cloud water path retrievals over a limited area domain. Four severe weather events during 2018 are considered in this study to assess the potential impacts of assimilating GOES-16 AMVs into the WoFS. A total of eight experiments performed, four that assimilate AMV data and the remaining four do not with all including conventional, radar, and other satellite data. This research represents the first step to assimilated high-resolution satellite derived winds into the convective-allowing ensemble data assimilation system. The results show that the overall impact of assimilation of AMVs is small, but positive for probabilistic forecasts of reflectivity objects.

中文翻译：

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将 GOES-16 卫星衍生的风同化到预报预警系统中

摘要 GOES-R 系列地球静止卫星上的高级基线成像仪 (ABI) 提供了一个机会，可以在美国大陆上生成高分辨率卫星衍生的风矢量，这是以前卫星无法实现的。本研究使用 NOAA 的基于集合的预报预警系统 (WoFS)，调查了同化来自 GOES-16 地球静止卫星的卫星风（或大气运动矢量，AMV）对高影响天气预报的质量和影响。WoFS 以允许尺度（~3 公里）的对流运行，以 15 分钟的循环频率同化所有可用的观测，包括在有限区域域内的常规、雷达和 GOES-16 云水路径反演。本研究考虑了 2018 年的四次恶劣天气事件，以评估将 GOES-16 AMV 同化到 WoFS 的潜在影响。总共进行了八项实验，四项同化 AMV 数据，其余四项不包括常规数据、雷达数据和其他卫星数据。这项研究代表了将高分辨率卫星产生的风同化到允许对流的集合数据同化系统中的第一步。结果表明，同化 AMV 的总体影响很小，但对反射率对象的概率预测是积极的。这项研究代表了将高分辨率卫星产生的风同化到允许对流的集合数据同化系统中的第一步。结果表明，同化 AMV 的总体影响很小，但对反射率对象的概率预测是积极的。这项研究代表了将高分辨率卫星产生的风同化到允许对流的集合数据同化系统中的第一步。结果表明，同化 AMV 的总体影响很小，但对反射率对象的概率预测是积极的。