HRRR: High Resolution Rapid Refresh#

Dowell, D. C., and Coauthors, 2022: The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description. Wea. Forecasting, 37, 1371–1395, https://doi.org/10.1175/WAF-D-21-0151.1.

James, E. P., and Coauthors, 2022: The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part II: Forecast Performance. Wea. Forecasting, 37, 1397–1417, https://doi.org/10.1175/WAF-D-21-0130.1.

James, E. P., and S. G. Benjamin, 2017: Observation system experiments with the hourly updating Rapid Refresh model using GSI hybrid ensemble-variational data assimilation. Mon. Wea. Rev., 145, 2897–2918, https://doi.org/10.1175/MWR-D-16-0398.1.

Data Sources#

prioriy= Data source Archive Duration
"aws" Amazon Web Services 2014-07-30 to present
"nomads" NOMADS Yesterday and today
"google" Google Cloud Platform 2014-07-30 to present
"azure" Microsoft Azure 2021-03-21 to present
"pando" University of Utah Pando archive varies

Model Initialization#

Model cycles every hour.

Forecast Hour#

For the most recent version of HRRR…

fxx= Forecast lead time
0 through 48, step=1 available for runs initialized at 00z, 06z, 12z, 18z
0 through 18, step=1 available for runs initialized at all other hours.

Products#

product= Product Description
"sfc" surface fields
"prs" pressure levels
"nat" native levels
"subh" subhourly products

Update History#

Version Start
HRRRv1 2014-09-30
HRRRv2 2016-08-23
HRRRv3 2018-07-12
HRRRv4 2020-12-02
RRFS 2026