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.
A recent study bridges observations and modeling, and shows a way to make improvements to the observational instruments climate scientists rely on to study global circulation patterns.
While drought is commonly defined by precipitation and runoff deficits, the study challenges this understanding by proposing a new definition: anthropogenic drought. Within human‐water systems, drought must be defined and understood as the complex and interrelated dynamics of both natural and human‐induced changes, the authors say.
The Climate Program Office (CPO) manages competitive research programs in which NOAA funds high-priority climate science, assessments, decision support research, outreach, education, and capacity-building activities designed to advance our understanding of Earth’s climate system, and to foster the application of this knowledge in risk management and adaptation efforts. CPO-supported research is conducted in regions across the United States, at national and international scales, and globally. Learn more...
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.
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