A research team led by scientists from the University of California Berkeley and NOAA found that HRRR-Smoke accurately predicted the intensification of smoke pollution from the Camp Fire.
Accurate, high resolution weather forecasts equate to cost savings across many different industries, but it is not always clear exactly what those cost savings are.
A new NOAA-led study of precipitation high in the Colorado Rockies aims to give water managers better forecasts for runoff in the critically important Colorado River Basin.
NOAA and partners have released the source code for its next-generation short-range forecast application to the weather research community to accelerate development of the model, which predicts atmospheric behavior on a timescale from less than an hour to several days, including critical life-saving weather and water forecasts during extreme events.
From its inception as an experiment to improve forecasts for aviation, to its transition of its final update to NOAA National Weather Service operations, the Global Systems Laboratory’s pioneering High-Resolution Rapid Refresh weather model established a remarkable resume of research accomplishments.
NOAA's HRRR-Smoke model may still be designated as experimental, but when wildfires are burning, many count on it for smoke forecasts.
Running on the newest version of NOAA’s Global Forecast System, or GFS, the FV3-Chem model forecasts the distribution of some primary air pollutants: smoke, soot, organic carbon, sulfate, and large and small particles of dust and sea salt - collectively known as aerosols. Because these aerosols affect the weather, the model also provides weather forecasts.