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 ORCID: https://orcid.org/0000-0001-9294-5826; 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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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 |
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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 |
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