Available online: https://www.meted.ucar.edu/training_module.php?id=743Published by: The University Corporation for Atmospheric Research ; 2010
The lesson "Bias Correction of NWP Model Data" first describes what affects bias in NWP models: regime continuity, timing of features that affect sensible weather, and existence (or not) of those features in the models. After discussing examples of each of these, three bias correction methods are presented: Model Output Statistics (MOS), decaying average, and a SmartInit tool developed at the Boise ID WFO called BOIVerify. Situations where each perform well and each perform poorly are discussed. Finally, after a comprehensive review question and feedback, a summary and series of points to remember are presented. Optional materials on downloading bias correction data files from NCEP and on the model climate used to calculate anomalies for the North American Ensemble Prediction System are also available.
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Tags: Weather forecasting ; Numerical weather prediction ; Lesson/ Tutorial ; NWP Skills and Knowledge for Operational Meteorologists Add tag