气候变化领域集成服务门户(CCPortal): The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description

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DOI	10.1175/WAF-D-21-0151.1
	The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description
	Dowell, David C.; Alexander, Curtis R.; James, Eric P.; Weygandt, Stephen S.; Benjamin, Stanley G.; Manikin, Geoffrey S.; Blake, Benjamin T.; Brown, John M.; Olson, Joseph B.; Hu, Ming; Smirnova, Tatiana G.; Ladwig, Terra; Kenyon, Jaymes S.; Ahmadov, Ravan; Turner, David D.; Duda, Jeffrey D.; Alcott, Trevor I.
发表日期	2022
ISSN	0882-8156
EISSN	1520-0434
起始页码	1371
结束页码	1395
卷号	37 期号:8
英文摘要	The High-Resolution Rapid Refresh (HRRR) is a convection-allowing implementation of the Advanced Research version of the Weather Research and Forecasting (WRF-ARW) Model with hourly data assimilation that covers the conterminous United States and Alaska and runs in real time at the NOAA/National Centers for Environmental Prediction (NCEP). Implemented operationally at NOAA/NCEP in 2014, the HRRR features 3-km horizontal grid spacing and frequent forecasts (hourly for CONUS and 3-hourly for Alaska). HRRR initialization is designed for optimal short-range forecast skill with a particular focus on the evolution of precipitating systems. Key components of the initialization are radar-reflectivity data assimilation, hybrid ensemble-variational assimilation of conventional weather observations, and a cloud analysis to initialize stratiform cloud layers. From this initial state, HRRR forecasts are produced out to 18 h every hour, and out to 48 h every 6 h, with boundary conditions provided by the Rapid Refresh system. Between 2014 and 2020, HRRR development was focused on reducing model bias errors and improving forecast realism and accuracy. Improved representation of the planetary boundary layer, subgrid-scale clouds, and land surface contributed extensively to overall HRRR improvements. The final version of the HRRR (HRRRv4), implemented in late 2020, also features hybrid data assimilation using flow-dependent covariances from a 3-km, 36-member ensemble (HRRRDAS) with explicit convective storms. HRRRv4 also includes prediction of wildfire smoke plumes. The HRRR provides a baseline capability for evaluating NOAA's next-generation Rapid Refresh Forecast System, now under development. Significance StatementNOAA's operational hourly updating, convection-allowing model, the High-Resolution Rapid Refresh (HRRR), is a key tool for short-range weather forecasting and situational awareness. Improvements in assimilation of weather observations, as well as in physics parameterizations, have led to improvements in simulated radar reflectivity and quantitative precipitation forecasts since the initial implementation of HRRR in September 2014. Other targeted development has focused on improved representation of the diurnal cycle of the planetary boundary layer, resulting in improved near-surface temperature and humidity forecasts. Additional physics and data assimilation changes have led to improved treatment of the development and erosion of low-level clouds, including subgrid-scale clouds. The final version of HRRR features storm-scale ensemble data assimilation and explicit prediction of wildfire smoke plumes.
英文关键词	Cloud resolving models; Operational forecasting; Numerical weather prediction; forecasting; Regional models
语种	英语
WOS研究方向	Meteorology & Atmospheric Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000848617400004
来源期刊	WEATHER AND FORECASTING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281129
作者单位	University of Colorado System; University of Colorado Boulder; I.M. Systems Group, Inc.
推荐引用方式 GB/T 7714	Dowell, David C.,Alexander, Curtis R.,James, Eric P.,et al. The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description[J],2022,37(8).
APA	Dowell, David C..,Alexander, Curtis R..,James, Eric P..,Weygandt, Stephen S..,Benjamin, Stanley G..,...&Alcott, Trevor I..(2022).The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description.WEATHER AND FORECASTING,37(8).
MLA	Dowell, David C.,et al."The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description".WEATHER AND FORECASTING 37.8(2022).