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Diagnostic Fields Developed For Hourly Updated NOAA Weather Models

Abstract

This document describes methods for diagnosing non-prognostic variables from explicit prognostic variables from hourly updated NOAA models. Many of these diagnostics have been developed for specific forecast applications for downstream forecast users over the years; these variables have been output from the Rapid Update Cycle (RUC) model prior to 2012, and from the Rapid Refresh (RAP) and High-Resolution Rapid Refresh (HRRR) models since 2012 and 2014, respectively. Some of these diagnostics are also being used for the RTMA-3D (experimental in 2020), as well. (RTMA - Real-Time Mesoscale Analysis (Pondeca et al 2011), now being developed as a 3-d nowcast. The code for these diagnostics is developed within the Unified Post-Processor (Unipost or UPP) program, used for common NCEP modeling system output. This document serves as a reference for forecast users seeking to apply these model fields for their forecast applications.

Article / Publication Data
Active/Online
YES
Available Metadata
DOI ↗
Fiscal Year
NOAA IR URL ↗
Peer Reviewed
YES
Publication Name
Technical Memorandum OAR Gsl-66
Published On
May 22, 2020
URL ↗

Authors

Authors who have authored or contributed to this publication.

  • Stanley G. Benjamin - lead Gsl
    Federal
  • Eric P. James - second Gsl
    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
    NOAA/Global Systems Laboratory
  • John M. Brown - third Gsl
    Federal
  • Edward J. Szoke - fourth Gsl
    Cooperative Institute for Research in the Atmosphere, Colorado State University
    NOAA/Global Systems Laboratory
  • Jaymes S. Kenyon - fifth Gsl
    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
    NOAA/Global Systems Laboratory
  • Ravan Ahmadov - sixth Gsl
    Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder
    NOAA/Global Systems Laboratory