Better representation of mountain range heights could help reduce biases in how global climate models simulate important atmospheric and climate processes.
Recent research showcases how machine learning methods can help reduce errors in tropical cyclone intensity forecasts to prevent damages and loss of life.
This COM-funded study developed an improved paelo-temperature reconstruction dataset for the Northern Hemisphere using tree ring proxy data.
New research highlights the application of reanalysis products, including the 20th Century Reanalysis Project (20CRv3), to understanding coastal hazards in a changing climate.
Researchers funded by CPO’s Climate Observations and Modeling (COM) program use a new method of climate index development to demonstrate the creation of directional wind indices and their potential application.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
NOAA Privacy Statement|
Web Accessibility Statement|
Disclaimer for External Links|
U.S. Department of Commerce|