Skip to main navigation Skip to search Skip to main content

NCAR Auto-Nowcast System

  • C. Mueller
  • , T. Saxen
  • , R. Roberts
  • , J. Wilson
  • , T. Betancourt
  • , S. Dettling
  • , N. Oien
  • , J. Yee
    • National Center for Atmospheric Research

    Research output: Contribution to journalArticlepeer-review

    224 Scopus citations

    Abstract

    The Auto-Nowcast System (ANC), a software system that produces time- and space-specific, routine (every 5 min) short-term (0-1 h) nowcasts of storm location, is presented. A primary component of ANC is its ability to identify and characterize boundary layer convergence lines. Boundary layer information is used along with storm and cloud characteristics to augment extrapolation with nowcasts of storm initiation, growth, and dissipation. A fuzzy logic routine is used to combine predictor fields that are based on observations (radar, satellite, sounding, mesonet, and profiler), a numerical boundary layer model and its adjoint, forecaster input, and feature detection algorithms. The ANC methodology is illustrated using nowcasts of storm initiation, growth, and dissipation. Statistical verification shows that ANC is able to routinely improve over extrapolation and persistence.

    Original languageEnglish
    Pages (from-to)545-561
    Number of pages17
    JournalWeather and Forecasting
    Volume18
    Issue number4
    DOIs
    StatePublished - Aug 2003

    Fingerprint

    Dive into the research topics of 'NCAR Auto-Nowcast System'. Together they form a unique fingerprint.

    Cite this