气候变化领域集成服务门户(CCPortal): Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system

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DOI	10.1016/j.atmosres.2020.105131
	Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system
	Mallick S.; Jones T.A.
发表日期	2020
ISSN	0169-8095
卷号	245
英文摘要	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. © 2020 Elsevier B.V.
英文关键词	Atmospheric Motion Vectors; Data Assimilation; GOES-R; Numerical Weather Prediction; Warn-on-Forecast
语种	英语
scopus关键词	Geostationary satellites; Space-based radar; Wind; Advanced Baseline Imager; Atmospheric motion vectors; Cycling frequencies; Ensemble data assimilation; High resolution satellites; Potential impacts; Probabilistic forecasts; Severe weather events; Weather forecasting; data assimilation; GOES; radar; satellite data; weather forecasting; wind field; United States
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141811
作者单位	Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States; National Severe Storms Laboratory, Norman, OK, United States; University of Oklahoma, Norman, OK, United States
推荐引用方式 GB/T 7714	Mallick S.,Jones T.A.. Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system[J],2020,245.
APA	Mallick S.,&Jones T.A..(2020).Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system.Atmospheric Research,245.
MLA	Mallick S.,et al."Assimilation of GOES-16 satellite derived winds into the warn-on-forecast system".Atmospheric Research 245(2020).