Postprocessing

{
  "id": "MLC-T-MET-008074",
  "term": "Postprocessing",
  "field": "Meteorology and atmospheric science",
  "definition": "The application of statistical or physical adjustments to raw output from numerical weather prediction models to improve forecast accuracy and utility. This can involve bias correction, downscaling, or combining multiple model outputs into an ensemble forecast. Postprocessing aims to correct systematic errors and provide more reliable predictions for specific locations or variables.",
  "url": "https://mlchart.com/terminology/meteorology/postprocessing/"
}