Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales

Prudhomme, Christel; Hannaford, Jamie ORCID: https://orcid.org/0000-0002-5256-3310; Harrigan, Shaun; Boorman, David ORCID: https://orcid.org/0000-0002-6436-5266; Knight, Jeff; Bell, Victoria ORCID: https://orcid.org/0000-0002-0792-5650; Jackson, Christopher; Svensson, Cecilia; Parry, Simon; Bachiller-Jareno, Nuria; Davies, Helen; Davis, Richard; Mackay, Jonathan; McKenzie, Andrew; Rudd, Alison; Smith, Katie ORCID: https://orcid.org/0000-0003-1060-9103; Bloomfield, John ORCID: https://orcid.org/0000-0002-5730-1723; Ward, Rob; Jenkins, Alan. 2017 Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales. Hydrological Sciences Journal, 62 (16). 2753-2768. https://doi.org/10.1080/02626667.2017.1395032

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Official URL: https://doi.org/10.1080/02626667.2017.1395032

Abstract/Summary

This paper describes the development of the first operational seasonal hydrological forecasting service for the UK, the Hydrological Outlook UK (HOUK). Since June 2013, this service has delivered monthly forecasts of streamflow and groundwater levels, with an emphasis on forecasting hydrological conditions over the next three months, accompanied by outlooks over longer time horizons. This system is based on three complementary approaches combined to produce the outlooks: (i) national-scale modelling of streamflow and groundwater levels based on dynamic seasonal rainfall forecasts, (ii) catchment-scale modelling where streamflow and groundwater level models are driven by historical meteorological forcings (i.e. the Ensemble Streamflow Prediction, ESP, approach), and (iii) a catchment-scale statistical method based on persistence and historical analogues. This paper provides the background to the Hydrological Outlook, describes the various component methods in detail and then considers the impact and usefulness of the product. As an example of a multi-method, operational seasonal hydrological forecasting system, it is hoped that this overview provides useful information and context for other forecasting initiatives around the world.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1080/02626667.2017.1395032
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-) Water Resources (Science Area 2017-) Directors, SCs UKCEH Fellows
ISSN:	0262-6667
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
Additional Keywords:	GroundwaterBGS, groundwater monitoring, groundwater resources, groundwater modelling, forecasting, prediction, modelling, rainfall, river flow, groundwater, water resources
NORA Subject Terms:	Hydrology Atmospheric Sciences Data and Information
Date made live:	30 Nov 2017 17:19 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/518524

Item Type:

Publication - Article

Digital Object Identifier (DOI):

https://doi.org/10.1080/02626667.2017.1395032

UKCEH and CEH Sections/Science Areas:

Hydro-climate Risks (Science Area 2017-)
Water Resources (Science Area 2017-)
Directors, SCs
UKCEH Fellows

ISSN:

0262-6667

Additional Information. Not used in RCUK Gateway to Research.:

Open Access paper - full text available via Official URL link.

Additional Keywords:

GroundwaterBGS, groundwater monitoring, groundwater resources, groundwater modelling, forecasting, prediction, modelling, rainfall, river flow, groundwater, water resources

NORA Subject Terms:

Hydrology
Atmospheric Sciences
Data and Information

Date made live:

30 Nov 2017 17:19 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/518524