Extracting unique information from high-resolution forecast models: Monitoring selected fields and phenomena every time step

John S. Kain, Scott R. Dembek, Steven J. Weiss, Jonathan L. Case, Jason J. Levit, Ryan A. Sobash

Research output: Contribution to journalArticlepeer-review

90 Scopus citations

Abstract

A new strategy for generating and presenting model diagnostic fields from convection-allowing forecast models is introduced. The fields are produced by computing temporal-maximum values for selected diagnostics at each horizontal grid point between scheduled output times. The two-dimensional arrays containing these maximum values are saved at the scheduled output times. The additional fields have minimal impacts on the size of the output files and the computation of most diagnostic quantities can be done very efficiently during integration of the Weather Research and Forecasting Model. Results show that these unique output fields facilitate the examination of features associated with convective storms, which can change dramatically within typical output intervals of 1-3 h.

Original languageEnglish
Pages (from-to)1536-1542
Number of pages7
JournalWeather and Forecasting
Volume25
Issue number5
DOIs
StatePublished - Oct 2010

Keywords

  • Convection
  • Deep convection
  • Forecasting
  • Numerical weather prediction/forecasting

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