Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-1189-2017
https://doi.org/10.5194/hess-21-1189-2017
Research article
 | 
28 Feb 2017
Research article |  | 28 Feb 2017

Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data

Emma L. Robinson, Eleanor M. Blyth, Douglas B. Clark, Jon Finch, and Alison C. Rudd

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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: Reconsider after major revisions (28 Apr 2016) by Stan Schymanski
AR by Emma Robinson on behalf of the Authors (08 Jul 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (23 Jul 2016) by Stan Schymanski
RR by Anonymous Referee #2 (08 Aug 2016)
RR by Anonymous Referee #1 (05 Sep 2016)
ED: Reconsider after major revisions (19 Sep 2016) by Stan Schymanski
AR by Emma Robinson on behalf of the Authors (31 Oct 2016)  Author's response    Manuscript
ED: Publish subject to revisions (further review by Editor and Referees) (15 Nov 2016) by Stan Schymanski
ED: Referee Nomination & Report Request started (02 Dec 2016) by Stan Schymanski
RR by Anonymous Referee #2 (02 Dec 2016)
ED: Reconsider after major revisions (further review by Editor and Referees) (20 Dec 2016) by Stan Schymanski
AR by Emma Robinson on behalf of the Authors (31 Jan 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (07 Feb 2017) by Stan Schymanski
AR by Emma Robinson on behalf of the Authors (07 Feb 2017)  Author's response    Manuscript
ED: Publish as is (09 Feb 2017) by Stan Schymanski
AR by Emma Robinson on behalf of the Authors (09 Feb 2017)  Author's response    Manuscript
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Short summary
We present a dataset of daily meteorological variables at 1 km resolution over Great Britain (1961–2012), calculated by spatially downscaling coarser resolution datasets, adjusting for local topography, along with derived potential evapotranspiration (PET). A positive trend in PET was identified and attributed to trends in the meteorology. The trend in PET is particularly driven by decreasing relative humidity and increasing shortwave radiation in the spring.