Using Metrics to Measure the Performance of Scientific Models

Details Using Metrics to Measure the Performance of Scientific Models Using Metrics to Measure the Performance of Scientific Models

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsh52a..22k&link_type=abstract

American Geophysical Union, Spring Meeting 2002, abstract #SH52A-22

Physics

2447 Modeling And Forecasting

Scientific paper

Metrics are one tool for measuring the progress of scientific models in space weather prediction. A scientific metric as defined by the National Space Weather Program has three elements: 1.) An output parameter from the model such as currents in the ionosphere, 2.) A satellite or ground-based measurement that can be used for comparison, and 3.) A quantifiable parameter that can measure the difference between the model parameter and the measurement. We will use ionospheric currents from models to compute the magnetic perturbations on the ground. We will compare the computed magnetic perturbations with the measured values in the Greenland magnetometer chain. We will compare model results with data for both quiet and storm days. We will present results and lessons learned from the metric study.

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