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Model Climates
The discontinuous and patchy global coverage of conventional climate data (almost totally absent over the oceans and some land areas) means it is unsatisfactory to use conventional climate data to compare with forecast parameters. It is preferable to have system that provides a benchmark to identify extreme or anomalous forecasts events at any chosen location, at any time of year, and at any forecast lead time, and which at the same time can combat any biases and drifts in the IFS models. To this end, a series of re-forecasts are made with resolutions appropriate to each model. These are:
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- circumvent local conditions that are not covered by the model grid.
- account for systematic errors in the model.
- account for model drift (change in systematic error with lead time).
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(Note: In older material there may be references to issues that have subsequently been addressed)
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