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We are experiencing an exciting time in atmospheric science as the societal need for mesoscale and microscale meteorological predictions grows and expands into areas such as air quality and homeland security.

Major progress has been made with the development of computer capacity for complex models at fine grid scales over large domains, and in the theoretical understanding of related processes.

This has enabled more accurate specification of mesoscale and microscale atmospheric, biological and chemical processes in weather and climate models.

As MMM leads research in these areas, we are focused on improving the ways in which we communicate atmospheric processes and predictions, in order to help others understand how advances in atmospheric science will benefit society.

Our Sections

Weather Extremes Across Scales

Advances understanding of the dynamics and predictability of extreme weather across scales....
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Dynamical & Physical Meteorology

Carries out basic and applied research on atmospheric phenomena spanning a wide range of scales...
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Prediction, Assimilation & Risk Communication

Studies advanced techniques for data assimilation and probabilistic weather forecasts, and the intersections between weather hazards and society...
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Weather Modeling & Research

Advances research and development in mesoscale meteorology and numerical weather prediction...
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Geophysical Turbulence Program

Promoting research, education and awareness of geophysical turbulence at NCAR and in the scientific community...
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* Note pages for historical purposes only

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Weather Extremes Across Scales

Dynamical & Physical Meteorology

Prediction, Assimilation & Risk Communication

Weather Modeling & Research

Geophysical Turbulence Program

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This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.

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