Determining the Impact of Meteorological Assimilation Data Ingest System (MADIS) Observations on Weather Research and Forecasting (WRF) Forecasts Utilizing National Center for Atmospheric Research's (NCAR's) Forecast Sensitivity to Observations Software Package

Abstract

The National Center for Atmospheric Research s (NCAR s) Forecast Sensitivity to Observations software is employed to determine the impact of both surface and upper-air observations on Weather Research and Forecasting (WRF) forecasts during early February 2012. Scripts were engineered to execute both the WRF Preprocessing System and WRF code modules in order to generate 12- and 24-h forecasts. These forecasts served as input for the generation of a regional background error (BE) covariance tuned to the timeframe and region of interest, the southwestern U.S. This new BE covariance was used in a sensitivity study to determine the impact of observations on the WRF forecast. Observation types included surface observations such as mesonet, meteorological terminal aviation routine weather report (METAR), and ship reports while the upper-air observations included profiler, balloon soundings, satellite, and pilot reports.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2013
Accession Number
ADA586038

Entities

People

  • Stephen F. Kirby

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Application Protocols
  • Artificial Satellites
  • Assimilation
  • Case Studies
  • Covariance
  • Data Science
  • Data Sets
  • Delphi Method
  • Demographic Cohorts
  • Global Positioning Systems
  • Grids
  • Information Science
  • Measurement
  • Preprocessing
  • Sensitivity
  • Shell Scripts
  • Statistics

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Computational Modeling and Simulation

Technology Areas

  • Space