Automated Postprocessing for the Weather Running Estimate-Nowcast (WRE-N) Model

Abstract

Postprocessing is often required for the forecast data output produced by the US Army Research Laboratory's Weather Running Estimate-Nowcast (WRE-N) model as a precursor for various model assessment and verification processes that are used to improve the performance and accuracy of WRE-N forecasts. This report documents the design and implementation of the automation of WRE-N postprocessing using the Unified Post Processor tool to generate hourly GRIdded Binary files. This process allows multiple user configurations as well as produces a controlled input and output data structure that could be used during the evaluation of WRE-N model improvements and data analyses.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1060011

Entities

People

  • John W. Raby
  • Leelinda P. Dawson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Assimilation
  • Automation
  • Computing-Related Activities
  • Corporations
  • Data Analysis
  • Data Science
  • Data Set
  • Delphi Method
  • Digital Data
  • Directories
  • Errors
  • Ground Level
  • High Resolution
  • Identification
  • Information Science
  • Lead Time
  • Military Research
  • Precursors
  • Standards
  • Statistics
  • Template Patterns
  • Test And Evaluation
  • Universities
  • Verification

Readers

  • Atmospheric Science/Meteorology
  • Computer Science.