The High-Resolution Rapid Refresh (HRRR) is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh. For more information, see the HRRR Info Page from NOAA ESRL. In addition to the real-time data that is continuously updated, archived data is now available for HRRR forecasts. This data dates back as far as 2014, and is one of the most complete publicly-available archives of HRRR data. This dataset includes a Pub/Sub topic you can subscribe to in order to be notified of updates. Subscribe to the topic 'projects/gcp-public-data-weather/topics/gcp-public-data-hrrr'. Use the Pub/Sub Quickstarts guide to learn more. This public dataset is hosted in Google Cloud Storage and available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage.

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh.

The HRRR ZARR formatted data was originally generated by the University of Utah under a grant provided by NOAA. They are are continuing to publish ZARR versions of HRRR data. For information about data in the s3://hrrrzarr/ please contact atmos-mesowest@lists.utah.edu.

The HRRR is a NOAA real-time 3-km resolution, hourly updated, cloud-resolving, convection-allowing atmospheric model, initialized by 3km grids with 3km radar assimilation. Radar data is assimilated in the HRRR every 15 min over a 1-h period adding further detail to that provided by the hourly data assimilation from the 13km radar-enhanced Rapid Refresh .

HRRR implementations at NCEP HRRRv1 - 30 Sept 2014 HRRRv2 - 23 Aug 2016 HRRRv3 - 12 July 2018 HRRRv4 - IMPLEMENTED 12z Wed 2 Dec 2020 Information here in HRRRv4/RAPv5 summary - Jan 2020 HRRR Colorado Labs Award video - a 2-minute layperson-level description on the HRRR from late 2015 and why it is important. (October 2015) HRRRv4/RAPv5 .

Key features for HRRRv4: improved cloud representation for boundary-top clouds, especially for shallow cold-air layers with cold-air retention better cloud bands (snow squalls, hurricane bands, lake-effect bands) 3km ensemble data assimilation for improved storm prediction for 1-12h inline smoke prediction improved lake temperatures Extension to 48h forecast every 6h. HRRR Ensemble (HRRRE) prediction - documentation as of March 2020

The operational version of the HRRR (currently HRRRv3) was implemented at NCEP 12 July 2018.

The experimental HRRR is run by NOAA/ESRL/GSD as a real-time demonstration of advanced versions of the HRRR, ahead of the NCEP operational version. Experimental versions of the HRRR started to run in 2010 and from October 2014 onward, continuing to run more advanced versions than the NCEP operational version but with slightly lower reliability. Usually yearly upgrades are made at ESRL. HRRRv2 physics description in Benjamin et al. 2016, A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh. Mon. Wea. Rev., 144, 1669-1694.