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

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

doi:https://doi.org/10.5194/gmd-14-2143-2021

Articles | Volume 14, issue 4

https://doi.org/10.5194/gmd-14-2143-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-14-2143-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 4

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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Final revised paper (published on 23 Apr 2021)
Preprint (discussion started on 16 Nov 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Please see attached file', Anonymous Referee #1, 27 Nov 2020
RC2: 'OpenEnsemble 1.0: a boon for the research community', Hannah Christensen, 18 Dec 2020
AC1: 'Response to both Referees', Pirkka Ollinaho, 08 Feb 2021

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Pirkka Ollinaho on behalf of the Authors (12 Mar 2021) Author's response Manuscript

ED: Publish as is (16 Mar 2021) by Simon Unterstrasser

AR by Pirkka Ollinaho on behalf of the Authors (16 Mar 2021) Manuscript

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.