Articles | Volume 23, issue 19
Research article
09 Oct 2023
Research article |  | 09 Oct 2023

Using synthetic case studies to explore the spread and calibration of ensemble atmospheric dispersion forecasts

Andrew R. Jones, Susan J. Leadbetter, and Matthew C. Hort

Data sets

Hypothetical ensemble dispersion model runs with statistical verification S. Leadbetter and A. Jones

Short summary
The paper explores spread and calibration properties of ensemble atmospheric dispersion forecasts for hypothetical release events. Real-time forecasts from an ensemble weather prediction system were used to generate an ensemble of dispersion predictions and assessed against simulations produced using analysis meteorology. Results demonstrate good performance overall but highlight more skilful predictions for material released in the upper air compared with releases near the surface.
Final-revised paper