Abstract
Two techniques for improving the operational performance of numerical road ice prediction models are presented. The first uses the outpout from a mesoscale model to estimate the inputs for site-specific forecasts. The second uses a templet to reduce systematic bias in model output. -Authors
Original language | English |
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Pages (from-to) | 197-204 |
Number of pages | 8 |
Journal | Meteorological Magazine |
Volume | 121 |
Issue number | 1442 |
Publication status | Published - 1992 |