Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-2143-2021
https://doi.org/10.5194/gmd-14-2143-2021
Development and technical paper
 | 
23 Apr 2021
Development and technical paper |  | 23 Apr 2021

Ensemble prediction using a new dataset of ECMWF initial states – OpenEnsemble 1.0

Pirkka Ollinaho, Glenn D. Carver, Simon T. K. Lang, Lauri Tuppi, Madeleine Ekblom, and Heikki Järvinen

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Cited articles

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Short summary
OpenEnsemble 1.0 is a novel dataset that aims to open ensemble or probabilistic weather forecasting research up to the academic community. The dataset contains atmospheric states that are required for running model forecasts of atmospheric evolution. Our capacity to observe the atmosphere is limited; thus, a single reconstruction of the atmospheric state contains some errors. Our dataset provides sets of 50 slightly different atmospheric states so that these errors can be taken into account.
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