Publication Date:
2014-03-15
Description:
This study investigates the impact of a calibration technique using estimated global model error variances on the performance of short-range ensemble forecasts. The calibration technique is rather simple as it consists of adding a random white noise of zero mean and variance equal to estimated model error variances. Two calibrated ensemble forecasts are generated; one using a homogeneous calibration factor and another one using a heterogeneous calibration factor. Based on probabilistic scores, the quality of these two ensemble forecasts are evaluated against a non-calibrated ensemble and the operational ensemble prediction system of Météo-France . The results show that this calibration technique improves significantly the reliability and, to a less extent, the resolution of ensemble forecasts. Better results are found using a spatially homogeneous calibration factor instead of using the homogeneous calibration factor at forecast ranges beyond 48 and 72 hours in terms of reliability.
Print ISSN:
0035-9009
Electronic ISSN:
1477-870X
Topics:
Geography
,
Physics
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