Articles | Volume 21, issue 3
Research article
09 Mar 2017
Research article |  | 09 Mar 2017

CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States

Di Tian, Eric F. Wood, and Xing Yuan


Interactive discussion

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
ED: Publish subject to revisions (further review by Editor and Referees) (01 Nov 2016) by Andy Wood
AR by Di Tian on behalf of the Authors (04 Nov 2016)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (22 Dec 2016) by Andy Wood
AR by Di Tian on behalf of the Authors (19 Jan 2017)  Author's response    Manuscript
ED: Publish as is (20 Feb 2017) by Andy Wood
Short summary
This study evaluated dynamic climate model sub-seasonal forecasts for important precipitation and temperature indices over the contiguous United States. The presence of active Madden-Julian Oscillation (MJO) events improved weekly mean precipitation forecast skill over most regions. Sub-seasonal forecast indices calculated from the daily forecast showed higher skill than temporally downscaled forecasts, suggesting the usefulness of the daily forecast for sub-seasonal hydrological forecasting.