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Diagnostic fields developed for hourly updated NOAA weather models
Author(s) -
Stanley G. Benjamin,
Eric James,
John M. Brown,
Edward J. Szoke,
Jaymes S. Kenyon,
Ravan Ahmadov
Publication year - 2020
Publication title -
national oceanic and atmospheric administration (noaa) - noaa central library
Language(s) - English
DOI - 10.25923/98fy-xx71
Subject(s) - meteorology , nowcasting , environmental science , weather forecasting , climatology , remote sensing , geography , geology
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.

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