Open AccessExtracting Unique Information from High-Resolution Forecast Models: Monitoring Selected Fields and Phenomena Every Time Step
Author(s) -
John S. Kain,
Scott R. Dembek,
Steven J. Weiss,
Jonathan L. Case,
Jason J. Levit,
Ryan A. Sobash
Publication year - 2010
Publication title -
weather and forecasting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 106
eISSN - 1520-0434
pISSN - 0882-8156
DOI - 10.1175/2010waf2222430.1
Subject(s) - computation , grid , computer science , storm , meteorology , convection , field (mathematics) , convective storm detection , high resolution , point (geometry) , data mining , environmental science , remote sensing , algorithm , mathematics , geology , geodesy , physics , geometry , pure mathematics
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.