NOAA High-Resolution Rapid Refresh (HRRR) Model

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/noaa-hrrr-pds-dataset")

fs.listdir("s3://noaa-hrrr-bdp-pds")

Description:

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.

Contact:

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.

Update Frequency:

Hourly

Managed By:

http://www.noaa.gov/

Collabs:

• ASDI:
  • Tags: weather

Resources:

1. resource:

   • Description: Archive of HRRR data since 2014.
   • ARN: arn:aws:s3:::noaa-hrrr-bdp-pds
   • Region: us-east-1
   • Type: S3 Bucket
   • Explore: Browse Bucket

2. resource:

   • Description: New data notifications
   • ARN: arn:aws:sns:us-east-1:123901341784:NewHRRRObject
   • Region: us-east-1
   • Type: SNS Topic

3. resource:

   • Description: HRRR Zarr format near-real time data archive managed by the University of Utah
   • ARN: arn:aws:s3:::hrrrzarr
   • Region: us-west-1
   • Type: S3 Bucket
   • Explore: Browse Bucket

Tags:

aws-pds, agriculture, climate, weather, environmental, sustainability, disaster response

Tutorials:

1. tutorial:

   • Title: The HRRR Zarr Archive Managed by MesoWest
   • URL: https://mesowest.utah.edu/html/hrrr/
   • AuthorName: Taylor Gowan

2. tutorial:

   • Title: HRRR-B Python package: download and read HRRR grib2 files
   • URL: https://github.com/blaylockbk/HRRR_archive_download
   • AuthorName: Brian Blaylock

Publication:

1. publication:
   • Title: Using Cloud Computing to Analyze Model Output Archived in Zarr Format
   • URL: https://doi.org/10.1175/JTECH-D-21-0106.1
   • AuthorName: Taylor A. Gowan, John D. Horel, Alexander A. Jacques, and Adair Kovac