Separating Good and Bad Data (IMAGE)

National Center for Atmospheric Research/University Corporation for Atmospheric Research

Separating Good and Bad Data

Caption

This image provides an example of how the newly developed algorithm, IODA, separated good and bad data from an anemometer in Alaska. The instrument measured wind speeds in meters per second over an hour. The blue data points have been given a high-quality score by the algorithm, while the red data points have been given a low-quality score. For more examples of IODA's detection of bad data, click here.

Credit

Image by Andrew Weekley, NCAR; courtesy American Meteorological Society.

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