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Nonlinear Processes in Geophysics An interactive open-access journal of the European Geosciences Union
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NPG | Articles | Volume 25, issue 1
Nonlin. Processes Geophys., 25, 129–143, 2018
https://doi.org/10.5194/npg-25-129-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Nonlin. Processes Geophys., 25, 129–143, 2018
https://doi.org/10.5194/npg-25-129-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 01 Mar 2018

Research article | 01 Mar 2018

Accelerating assimilation development for new observing systems using EFSO

Guo-Yuan Lien et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Guo-Yuan Lien on behalf of the Authors (22 Nov 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Dec 2017) by Zoltan Toth
AR by Guo-Yuan Lien on behalf of the Authors (13 Dec 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (10 Jan 2018) by Zoltan Toth
AR by Guo-Yuan Lien on behalf of the Authors (18 Jan 2018)  Author's response    Manuscript
Publications Copernicus
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Short summary
The ensemble forecast sensitivity to observation (EFSO) method can efficiently clarify under what conditions observations are beneficial or detrimental for assimilation. Based on EFSO, an offline assimilation method is proposed to accelerate the development of data selection strategies for new observing systems. The usefulness of this method is demonstrated with the assimilation of global satellite precipitation data.
The ensemble forecast sensitivity to observation (EFSO) method can efficiently clarify under...
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