Diagnostic fields developed for hourly updated NOAA weather models

Benjamin, Stanley G. (Stanley George), 1952-; James, Eric P.; Brown, John M.; Szoke, Edward J.; Kenyon, Jaymes S.; Ahmadov, Ravan

doi:10.25923/98fy-xx71

i

Superseded: This Document Has Been Replaced By: Diagnostic fields developed for hourly updated NOAA weather models

Diagnostic fields developed for hourly updated NOAA weather models

2020
By Benjamin, Stanley G. (Stanley George), 1952- ; James, Eric P. ; Brown, John M. ; ...
Series: NOAA Technical Memorandum OAR GSD 66

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Personal Author:

Benjamin, Stanley G. (Stanley George), 1952- ; James, Eric P. ; Brown, John M. ; Szoke, Edward J. ; Kenyon, Jaymes S. ; Ahmadov, Ravan
Corporate Authors:

Oceanic and Atmospheric Research Laboratories (U.S.) ; Earth System Research Laboratory (U.S.). Global Systems Division ; Cooperative Institute for Research in the Atmosphere (Fort Collins, Colo.)
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; GSL (Global Systems Laboratory) ; CIRES (Cooperative Institute for Research in Environmental Sciences)
Description:

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.
Keywords:

Diagnosis Methods Variables Weather Forecasting Weather Forecasting
Series:

NOAA Technical Memorandum OAR GSD 66
DOI:

https://doi.org/10.25923/98fy-xx71
Document Type:

Technical Memorandum
Place as Subject:

United States
License:

https://creativecommons.org/publicdomain/zero/1.0/
Rights Information:

CC0 Public Domain
Compliance:

Submitted
Main Document Checksum:

urn:sha-512:a6855e41c0e09d141cd6013fecc159d6c6a33239ff06c96a55d6664c42a5f00d4ab347f734765cefeda3c2342bcdbfabc3bf9746715a542f2d22e8f1ed78589a
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https://repository.library.noaa.gov/view/noaa/24212/noaa_24212_DS1.pdf
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[PDF - 15.30 MB ]

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