Skip to main content
U.S. flag

An official website of the United States government

Dot Gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.


The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Assimilating Radar Radial Winds Into The HIGH-RESOLUTION Rapid Refresh (HRRR) Model and Its Impact On Storm Forecasts


The High-Resolution Rapid Refresh (HRRR) system is a NOAA operational convective allowing atmospheric model. It is hourly-updated, assimilates all available meteorological observations, such as surface, radiosonde, radar, satellite, aircraft and other observations, at a 3km high resolution and launches forecasts up to 36 hours. It provides very valuable convective forecast guidance for operational forecasters, meteorologists and disaster planners. It greatly helps improve storm forecasts. Weather radar network is the only data source which can routinely provide storm-scale observations of the atmosphere at a very high time frequency. Utilizing this kind of precious radar data is vital for successful convective weather predictions. Currently, radar reflectivity data plays an import role in HRRR as it evidently improves forecasts. Its impact has been being examined. Radar radial winds are also used into HRRR analysis. To get best use of radial wind data, lots of fine tuning work are underway. For example, the super-obing of radial winds needs to be compatible with the 3km grid mesh and the shock to the model due to the assimilation of a great amount of radial winds data should be carefully addressed. The background error covariance matrix (BE) should also be correctly specified since at the 3km resolution, the BE is very different from that at a lower-resolution. Tests, evaluations as well as the enhancing development work on the improvement of radial winds data assimilation into HRRR will be reported at the meeting.

Article / Publication Data
Available Metadata
Fiscal Year
Published On
January 01, 2018

This publication was presented at the following:

AMS 98th Annual meeting - 2018
American Meteorological Society
Conference presentation


Not available


Authors who have authored or contributed to this publication.

Not available