Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2391-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-2391-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
09 Jun 2023
Data description paper |
| 09 Jun 2023
| 09 Jun 2023
The enhanced future Flows and Groundwater dataset: development and evaluation of nationally consistent hydrological projections based on UKCP18
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Irish Climate Analysis and Research UnitS (ICARUS), Maynooth
University, Maynooth, Ireland
British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK
School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, B15 2TT, UK
Matthew Ascott
British Geological Survey, Maclean Building, Benson Lane, Crowmarsh
Gifford, Wallingford, Oxon, OX10 8BB, UK
Victoria A. Bell
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Thomas Chitson
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Steven Cole
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Christian Counsell
HR Wallingford, Howbery Park, Crowmarsh Gifford, OX10 8BA, UK
Mason Durant
HR Wallingford, Howbery Park, Crowmarsh Gifford, OX10 8BA, UK
Christopher R. Jackson
British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK
Alison L. Kay
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Rosanna A. Lane
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Majdi Mansour
British Geological Survey, Keyworth, Nottingham, NG12 5GG, UK
Robert Moore
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Simon Parry
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Alison C. Rudd
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Michael Simpson
HR Wallingford, Howbery Park, Crowmarsh Gifford, OX10 8BA, UK
Katie Facer-Childs
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Stephen Turner
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
John R. Wallbank
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Steven Wells
UK Centre for Ecology & Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, Oxon, OX10 8BB, UK
Amy Wilcox
HR Wallingford, Howbery Park, Crowmarsh Gifford, OX10 8BA, UK
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Short summary
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Jamie Hannaford, Stephen Turner, Amulya Chevuturi, Wilson Chan, Lucy J. Barker, Maliko Tanguy, Simon Parry, and Stuart Allen
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-293, https://doi.org/10.5194/hess-2024-293, 2024
Revised manuscript accepted for HESS
Short summary
Short summary
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Hydrol. Earth Syst. Sci., 28, 4203–4218, https://doi.org/10.5194/hess-28-4203-2024, https://doi.org/10.5194/hess-28-4203-2024, 2024
Short summary
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Ed Hawkins, Nigel Arnell, Jamie Hannaford, and Rowan Sutton
Geosci. Commun., 7, 161–165, https://doi.org/10.5194/gc-7-161-2024, https://doi.org/10.5194/gc-7-161-2024, 2024
Short summary
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Hydrol. Earth Syst. Sci., 28, 2635–2650, https://doi.org/10.5194/hess-28-2635-2024, https://doi.org/10.5194/hess-28-2635-2024, 2024
Short summary
Short summary
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Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
Short summary
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Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440, https://doi.org/10.5194/hess-28-417-2024, https://doi.org/10.5194/hess-28-417-2024, 2024
Short summary
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We studied drought in a dataset of possible future river flows and groundwater levels in the UK and found different outcomes for these two sources of water. Throughout the UK, river flows are likely to be lower in future, with droughts more prolonged and severe. However, whilst these changes are also found in some boreholes, in others, higher levels and less severe drought are indicated for the future. This has implications for the future balance between surface water and groundwater below.
Emma L. Robinson, Matthew J. Brown, Alison L. Kay, Rosanna A. Lane, Rhian Chapman, Victoria A. Bell, and Eleanor M. Blyth
Earth Syst. Sci. Data, 15, 4433–4461, https://doi.org/10.5194/essd-15-4433-2023, https://doi.org/10.5194/essd-15-4433-2023, 2023
Short summary
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This work presents two new Penman–Monteith potential evaporation datasets for the UK, calculated with the same methodology applied to historical climate data (Hydro-PE HadUK-Grid) and an ensemble of future climate projections (Hydro-PE UKCP18 RCM). Both include an optional correction for evaporation of rain that lands on the surface of vegetation. The historical data are consistent with existing PE datasets, and the future projections include effects of rising atmospheric CO2 on vegetation.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
Short summary
Short summary
Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Alison L. Kay, Victoria A. Bell, Helen N. Davies, Rosanna A. Lane, and Alison C. Rudd
Earth Syst. Sci. Data, 15, 2533–2546, https://doi.org/10.5194/essd-15-2533-2023, https://doi.org/10.5194/essd-15-2533-2023, 2023
Short summary
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Climate change will affect the water cycle, including river flows and soil moisture. We have used both observational data (1980–2011) and the latest UK climate projections (1980–2080) to drive a national-scale grid-based hydrological model. The data, covering Great Britain and Northern Ireland, suggest potential future decreases in summer flows, low flows, and summer/autumn soil moisture, and possible future increases in winter and high flows. Society must plan how to adapt to such impacts.
Louisa D. Oldham, Jim Freer, Gemma Coxon, Nicholas Howden, John P. Bloomfield, and Christopher Jackson
Hydrol. Earth Syst. Sci., 27, 761–781, https://doi.org/10.5194/hess-27-761-2023, https://doi.org/10.5194/hess-27-761-2023, 2023
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Water can move between river catchments via the subsurface, termed intercatchment groundwater flow (IGF). We show how a perceptual model of IGF can be developed with relatively simple geological interpretation and data requirements. We find that IGF dynamics vary in space, correlated to the dominant underlying geology. We recommend that IGF
loss functionsmay be used in conceptual rainfall–runoff models but should be supported by perceptualisation of IGF processes and connectivities.
Rosanna A. Lane, Gemma Coxon, Jim Freer, Jan Seibert, and Thorsten Wagener
Hydrol. Earth Syst. Sci., 26, 5535–5554, https://doi.org/10.5194/hess-26-5535-2022, https://doi.org/10.5194/hess-26-5535-2022, 2022
Short summary
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This study modelled the impact of climate change on river high flows across Great Britain (GB). Generally, results indicated an increase in the magnitude and frequency of high flows along the west coast of GB by 2050–2075. In contrast, average flows decreased across GB. All flow projections contained large uncertainties; the climate projections were the largest source of uncertainty overall but hydrological modelling uncertainties were considerable in some regions.
Lizz Ultee, Sloan Coats, and Jonathan Mackay
Earth Syst. Dynam., 13, 935–959, https://doi.org/10.5194/esd-13-935-2022, https://doi.org/10.5194/esd-13-935-2022, 2022
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Global climate models suggest that droughts could worsen over the coming century. In mountain basins with glaciers, glacial runoff can ease droughts, but glaciers are retreating worldwide. We analyzed how one measure of drought conditions changes when accounting for glacial runoff that changes over time. Surprisingly, we found that glacial runoff can continue to buffer drought throughout the 21st century in most cases, even as the total amount of runoff declines.
Wilson C. H. Chan, Theodore G. Shepherd, Katie Facer-Childs, Geoff Darch, and Nigel W. Arnell
Hydrol. Earth Syst. Sci., 26, 1755–1777, https://doi.org/10.5194/hess-26-1755-2022, https://doi.org/10.5194/hess-26-1755-2022, 2022
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We select the 2010–2012 UK drought and investigate an alternative unfolding of the drought from changes to its attributes. We created storylines of drier preconditions, alternative seasonal contributions, a third dry winter, and climate change. Storylines of the 2010–2012 drought show alternative situations that could have resulted in worse conditions than observed. Event-based storylines exploring plausible situations are used that may lead to high impacts and help stress test existing systems.
Gemma Coxon, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden, Rosanna Lane, Melinda Lewis, Emma L. Robinson, Thorsten Wagener, and Ross Woods
Earth Syst. Sci. Data, 12, 2459–2483, https://doi.org/10.5194/essd-12-2459-2020, https://doi.org/10.5194/essd-12-2459-2020, 2020
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We present the first large-sample catchment hydrology dataset for Great Britain. The dataset collates river flows, catchment attributes, and catchment boundaries for 671 catchments across Great Britain. We characterise the topography, climate, streamflow, land cover, soils, hydrogeology, human influence, and discharge uncertainty of each catchment. The dataset is publicly available for the community to use in a wide range of environmental and modelling analyses.
Lucy J. Barker, Jamie Hannaford, and Miaomiao Ma
Proc. IAHS, 383, 273–279, https://doi.org/10.5194/piahs-383-273-2020, https://doi.org/10.5194/piahs-383-273-2020, 2020
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Drought monitoring and early warning are critical aspects of drought preparedness and can help mitigate impacts on society and the environment. We reviewed academic literature in England and Chinese on the topic of drought monitoring and early warning in China. The number of papers on this topic has increased substantially but the most recent advances have not been operationalised. We identify the methods that can be translated from the experimental to national, operational systems.
Miaomiao Ma, Juan Lv, Zhicheng Su, Jamie Hannaford, Hongquan Sun, Yanping Qu, Zikang Xing, Lucy Barker, and Yaxu Wang
Proc. IAHS, 383, 267–272, https://doi.org/10.5194/piahs-383-267-2020, https://doi.org/10.5194/piahs-383-267-2020, 2020
Bentje Brauns, Daniela Cuba, John P. Bloomfield, David M. Hannah, Christopher Jackson, Ben P. Marchant, Benedikt Heudorfer, Anne F. Van Loon, Hélène Bessière, Bo Thunholm, and Gerhard Schubert
Proc. IAHS, 383, 297–305, https://doi.org/10.5194/piahs-383-297-2020, https://doi.org/10.5194/piahs-383-297-2020, 2020
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In Europe, ca. 65% of drinking water is groundwater. Its replenishment depends on rainfall, but droughts may cause groundwater levels to fall below normal. These
groundwater droughtscan limit supply, making it crucial to understand their regional connection. The Groundwater Drought Initiative (GDI) assesses spatial patterns in historic—recent groundwater droughts across Europe for the first time. Using an example dataset, we describe the background to the GDI and its methodological approach.
Kerstin Stahl, Jean-Philippe Vidal, Jamie Hannaford, Erik Tijdeman, Gregor Laaha, Tobias Gauster, and Lena M. Tallaksen
Proc. IAHS, 383, 291–295, https://doi.org/10.5194/piahs-383-291-2020, https://doi.org/10.5194/piahs-383-291-2020, 2020
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Numerous indices exist for the description of hydrological drought, some are based on absolute thresholds of overall streamflows or water levels and some are based on relative anomalies with respect to the season. This article discusses paradigms and experiences with such index uses in drought monitoring and drought analysis to raise awareness of the different interpretations of drought severity.
Cited articles
AboutDrought: Home page of the UK Drought and Water Scarcity Programme, https://aboutdrought.info/, last access:
9 June 2021
Anglian Water: Anglian Water DRAFT Drought Plan, https://www.anglianwater.co.uk/siteassets/household/about-us/draft-drought-plan-2022.pdf,
last access: 9 June 2021
Arnell, N. W., Kay, A. L., Freeman, A., Rudd, A. C., and Lowe, J. A.:
Changing climate risk in the UK: a multi-sectoral analysis using policy
relevant indicators, Climate Risk Management, 31, 100265,
https://doi.org/10.1016/j.crm.2020.100265, 2021.
Bell, V. A., Kay, A. L., Jones, R. G., and Moore, R. J.: Development of a high resolution grid-based river flow model for use with regional climate model output, Hydrol. Earth Syst. Sci., 11, 532–549, https://doi.org/10.5194/hess-11-532-2007, 2007.
Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., and Reynard, N. S.: Use of
soil data in a grid-based hydrological model to estimate spatial variation
in changing flood risk across the UK, J. Hydrol., 377,
335–350, https://doi.org/10.1016/j.jhydrol.2009.08.031, 2009.
Bell, V. A., Kay, A. L., Cole, S. J., Jones, R. G., Moore, R. J., and Reynard,
N. S.: How might climate change affect river flows across the Thames Basin?
An area-wide analysis using the UKCP09 Regional Climate Model ensemble,
J. Hydrol., 442–443, 89–104, https://doi.org/10.1016/j.jhydrol.2012.04.001,
2012.
Bell, V. A., Kay, A. L., Davies, H. N., and Jones, R. G.: An assessment of the
possible impacts of climate change on snow and peak river flows across
Britain, Climatic Change, 136, 539–553, https://doi.org/10.1007/s10584-016-1637-x,
2016.
Bell, V. A., Kay, A. L., Rudd, A. C., and Davies, H. N.: The MaRIUS-G2G datasets:
Grid-to-Grid model estimates of flow and soil moisture for Great Britain
using observed and climate model driving data, Geosci. Data J.,
5, 63–72, https://doi.org/10.1002/gdj3.55, 2018.
Bloomfield, J. P. and Marchant, B. P.: Analysis of groundwater drought building on the standardised precipitation index approach, Hydrol. Earth Syst. Sci., 17, 4769–4787, https://doi.org/10.5194/hess-17-4769-2013, 2013.
Bloomfield, J. P., Marchant, B. P., and McKenzie, A. A.: Changes in groundwater drought associated with anthropogenic warming, Hydrol. Earth Syst. Sci., 23, 1393–1408, https://doi.org/10.5194/hess-23-1393-2019, 2019.
Boorman, D. B., Hollis, J. M., and Lilly, A.: Hydrology of Soil Types: A
hydrologically-based classification of the soils of the United Kingdom,
Institute of Hydrology Report No. 126, Wallingford, UK, https://nora.nerc.ac.uk/id/eprint/7369/ (last access: 27 April 2023), 1995.
Borgomeo, E., Farmer, C. L., and Hall, J. W.: Numerical rivers: A synthetic
streamflow generator for water resources vulnerability assessments, Water
Resour. Res., 51, 5382–5405, 2015.
Charlton, M. B., Bowes, M. J., Hutchins, M. G., Orr, H. G., Soley, R., and
Davison, P.: Mapping eutrophication risk from climate change: Future
phosphorus concentrations in English rivers, Sci. Total
Environ., 613–614, 1510–1529, 2017.
Chan, W. C. H., Shepherd, T. G., Facer-Childs, K., Darch, G., and Arnell, N. W.:
Tracking the methodological evolution of climate change projections for UK
river flows, Prog. Phys. Geog., 46, 589–612,
https://doi.org/10.1177/03091333221079201, 2022.
Cole, S. J. and Moore, R. J.: Distributed hydrological modelling using
weather radar in gauged and ungauged basins, Adv. Water Resour.,
32, 1107–1120, 2009.
Collet, L., Harrigan, S., Prudhomme, C., Formetta, G., and Beevers, L.: Future hot-spots for hydro-hazards in Great Britain: a probabilistic assessment, Hydrol. Earth Syst. Sci., 22, 5387–5401, https://doi.org/10.5194/hess-22-5387-2018, 2018.
Coron, L., Delaigue, O., Thirel, G., Dorchies, D., Perrin, C., and Michel, C.:
airGR: Suite of GR Hydrological Models for Precipitation-Runoff Modelling, R
package version 1.6.12, Recherche Data Gouv [code], https://doi.org/10.15454/EX11NA, 2021.
Counsell, C., Durant, M., and Wilcox, A.: eFLaG Demonstrator Report. HR
Wallingford, in preparation, 2023.
DiGMapGB-625: Digital Geological Map Data of Great Britain – 625k (DiGMapGB-625), British Geological Survey Catalogue [dataset], https://www2.bgs.ac.uk/nationalgeosciencedatacentre/citedData/catalogue/d9c6923b-a339-48f7-b1cf-5c9bbb664ef5.html (last access: 27 April 2023), 2008.
Dixon, H., Hannaford, J., and Fry, M.: The effective management of national
hydrometric data: experiences from the United Kingdom, Hydrolog. Sci.
J., 58, 7, 1383–1399, https://doi.org/10.1080/02626667.2013.787486, 2013.
Dobor, L., Barcza, Z., Hlásny, T., Havasi, Á., Horváth, F.,
Ittzés, P., and Bartholy, J.: Bridging the gap between climate models and
impact studies: the FORESEE Database, Geosci. Data J., 2, 1–11, https://doi.org/10.1002/gdj3.22, 2015.
Durant, M. and Counsell, C.: eFLaG User Needs specification and Research
Requirement, HR Wallingford contract report FWR6277 – RT001, Wallingford,
32 pp., 2021.
Environment Agency: Water Framework Directive (WFD) Groundwater Bodies Cycle
2 dataset, Environment Agency [data set], https://data.gov.uk/dataset/2a74cf2e-560a-4408-a762-cad0e06c9d3f/wfd-groundwater-bodies-cycle-2, last access: 1 October 2021a.
Environment Agency: Abstraction licensing strategies (CAMS Process), https://www.gov.uk/government/collections/water-abstraction-licensing-strategies-cams-process, last access: 1 December 2021b.
Environment Agency: Environment Agency Potential Evapotranspiration Dataset, Environment Agency [data set], https://data.gov.uk/dataset/7b58506c-620d-433c-afce-d5d93ef7e01e/environment-agency-potential-evapotranspiration-dataset#licence-info,
last access: 1 December 2021c.
FAO: Crop evapotranspiration; Guidelines for computing crop water
requirements, FAO Irrigation and Drainage Paper 56, FAO, Rome, https://www.fao.org/3/x0490e/x0490e00.htm (last access: 27 April 2023), 1998.
Griffiths, J., Young, A. R., and Keller, V.: Model scheme for representing
rainfall interception and soil moisture, Environment Agency, Environment
Agency R&D Project W6-101 Continuous Estimation of River Flows (CERF),
UK, https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/290976/scho0308bnvz-e-e.pdf (last access: 27 April 2023), 2006.
Guillod, B. P., Jones, R. G., Dadson, S. J., Coxon, G., Bussi, G., Freer, J., Kay, A. L., Massey, N. R., Sparrow, S. N., Wallom, D. C. H., Allen, M. R., and Hall, J. W.: A large set of potential past, present and future hydro-meteorological time series for the UK, Hydrol. Earth Syst. Sci., 22, 611–634, https://doi.org/10.5194/hess-22-611-2018, 2018.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition
of the mean squared error and NSE performance criteria: Implications for
improving hydrological modelling, J. Hydrol., 377,
80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Gustard, A., Bullock., A., and Dixon, J. M.: Low flow estimation in the
United Kingdom, Report No. 108, Institute of Hydrology, https://nora.nerc.ac.uk/id/eprint/6050/ (last access: 27 April 2023), 1992.
Hannaford, J., Mackay, J., Ascot, M., Bell, V., Chitson, T., Cole, S.,
Counsell, C., Durant, M., Facer-Childs, K., Jackson, C., Kay, A., Lane, R.,
Mansour, M., Moore, M., Parry, S., Rudd, A., Simpson, M., Turner, S.,
Wallbank, J., Wells, S., and Wilcox, A.: Hydrological projections for the UK,
based on UK Climate Projections 2018 (UKCP18) data, from the Enhanced Future
Flows and groundwater (eFLaG) project, NERC EDS Environmental Information
Data Centre [data set], https://doi.org/10.5285/1bb90673-ad37-4679-90b9-0126109639a9,
2022.
Harrigan, S., Hannaford, J., Muchan, K., and Marsh, T. J.: Designation and
trend analysis of UKBN2, Hydrol. Res., 49, 552–567,
https://doi.org/10.2166/nh.2017.058, 2018a.
Harrigan, S., Prudhomme, C., Parry, S., Smith, K., and Tanguy, M.: Benchmarking ensemble streamflow prediction skill in the UK, Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018, 2018b.
Hausfather, Z. and Peters, G. P.: Emissions – the “business as usual” story is misleading, Nature, 577, 618–620, 2020.
Hollis, D., McCarthy, M. P., Kendon, M., Legg, T., and
Simpson, I.: HadUK-Grid – A new UK dataset of gridded climate observations,
Geosci. Data J., 6, 151–159, https://doi.org/10.1002/gdj3.78, 2019.
Hough, M. N. and Jones, R. J. A.: The United Kingdom Meteorological Office rainfall and evaporation calculation system: MORECS version 2.0-an overview, Hydrol. Earth Syst. Sci., 1, 227–239, https://doi.org/10.5194/hess-1-227-1997, 1997.
Hughes, A., Mansour, M., Ward, R., Kieboom, N., Allen, S., Seccombe, D.
Charlton, M., and Prudhomme, C.: The impact of climate change on groundwater
recharge: national-scale assessment for the british mainland, J. Hydrol., 598, 126336, https://doi.org/10.1016/j.jhydrol.2021.126336, 2021.
Huskova, I., Matrosov, E. S., Harou, J. J., Kasprzyk, J. R., and Lambert, C.:
Screening robust water infrastructure investments and their trade-offs under
global change: A London example, Global Environ. Chang., 41, 216–227,
2016.
Jackson, C. R., Bloomfield, J. P., and Mackay, J. D.: Evidence for changes in
historic and future groundwater levels in the UK, Prog. Phys.
Geog., 39, 49–67, https://doi.org/10.1177/0309133314550668, 2015.
Jackson, C. R., Wang, L., Pachocka, M., Mackay, J. D., and Bloomfield, J.
P.: Reconstruction of multi-decadal groundwater level time-series using a
lumped conceptual model, Hydrol. Process., 30, 3107–3125, https://doi.org/10.1002/hyp.10850, 2016.
Kay, A. L.: Simulation of river flow in Britain under climate change: baseline
performance and future seasonal changes, Hydrol. Process., 35,
e14137, https://doi.org/10.1002/hyp.14137, 2021.
Kay, A. L.: Differences in hydrological impacts using regional climate model
and nested convection-permitting model data, Climatic Change, 173, 11,
https://doi.org/10.1007/s10584-022-03405-z, 2022.
Kay, A. L. and Crooks, S. M.: An investigation of the effect of transient
climate change on snowmelt, flood frequency and timing in northern Britain,
Int. J. Climatol., 34, 3368–3381,
https://doi.org/10.1002/joc.3913, 2014.
Kay, A. L., Rudd, A. C., Davies, H. N., Kendon, E. J., and Jones, R. G.: Use of
very high resolution climate model data for hydrological modelling: baseline
performance and future flood changes, Climatic Change, 133, 193–208,
https://doi.org/10.1007/s10584-015-1455-6, 2015.
Kay, A. L., Bell, V. A., Guillod, B. P., Jones, R. G., and Rudd, A. C.:
National-scale analysis of low flow frequency: historical trends and
potential future changes, Climatic Change, 147, 585–599,
https://doi.org/10.1007/s10584-018-2145-y, 2018.
Kay, A. L., Watts, G., Wells, S. C., and Allen, S.: The impact of climate
change on UK river flows: a preliminary comparison of two generations of
probabilistic climate projections, Hydrol. Process., 34, 1081–1088,
https://doi.org/10.1002/hyp.13644, 2020.
Kay, A. L., Davies, H. N., Lane, R. A., Rudd, A. C., and Bell, V. A.: Grid-based
simulation of river flows in Northern Ireland: model performance and future
flow changes, J. Hydrol., 38, 100967,
https://doi.org/10.1016/j.ejrh.2021.100967, 2021a.
Kay, A. L., Griffin, A., Rudd, A. C., Chapman, R. M., Bell, V. A., and Arnell,
N. W.: Climate change effects on indicators of high and low river flow across
Great Britain, Adv. Water Resour., 151, 103909,
https://doi.org/10.1016/j.advwatres.2021.103909, 2021b.
Kay, A. L., Rudd, A. C., Fry, M., Nash, G., and Allen, S.: Climate change
impacts on peak river flows: combining national-scale hydrological modelling
and probabilistic projections, Climate Risk Management, 31, 100263,
https://doi.org/10.1016/j.crm.2020.100263, 2021c.
Kay, A. L., Bell, V. A., Davies, H. N., Lane, R. A., and Rudd, A. C.: The UKSCAPE-G2G river flow and soil moisture datasets: Grid-to-Grid model estimates for the UK for historical and potential future climates, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-439, in review, 2023.
Kling, H., Fuchs, M., and Paulin, M.: Runoff conditions in the upper Danube
basin under an ensemble of climate change scenarios, J. Hydrol., 424–425,
264–277, https://doi.org/10.1016/j.jhydrol.2012.01.011, 2012.
Kruijt, B., Witte, J.-P., Jacobs, C., and Kroon, T.: Effects of rising
atmospheric CO2 on evapotranspiration and soil moisture: a practical
approach for the Netherlands, J. Hydrol., 349, 257–267, 208.
Lane, R. A. and Kay, A. L.: Climate change impact on the magnitude and timing
of hydrological extremes across Great Britain, Frontiers in Water, 3, 684982,
https://doi.org/10.3389/frwa.2021.684982, 2021.
Lane, R. A. and Kay, A. L.: Gridded simulations of available precipitation
(rainfall + snowmelt) for Great Britain, developed from observed data
(1961–2018) and climate projections (1980–2080), UK CEH [data set],
https://doi.org/10.5285/755e0369-f8db-4550-aabe-3f9c9fbcb93d, 2022.
Mackay, J. D., Jackson, C. R., and Wang, L.: A lumped conceptual model to
simulate groundwater level time-series, Environ. Modell.
Softw., 61, 229–245, https://doi.org/10.1016/j.envsoft.2014.06.003, 2014a.
Mackay, J. D., Jackson, C. R., and Wang, L.: AquiMod user manual (v1.0),
Nottingham, UK, British Geological Survey, OR/14/007, 34 pp., https://nora.nerc.ac.uk/id/eprint/507668/1/OR14007.pdf (last access: 27 April 2023), 2014b.
Mansour, M. M. and Hughes, A. G.: User's manual for the distributed
recharge model ZOODRM, Nottingham, UK, British Geological Survey,
IR/04/150, https://nora.nerc.ac.uk/id/eprint/12633/1/IR04150.pdf (last access: 27 April 2023), 2004.
Mansour, M. M., Wang, L., Whiteman, M., and Hughes, A. G.: Estimation of
spatially distributed groundwater potential recharge for the United Kingdom,
Q. J. Eng. Geol. Hydroge., 51, 247–263,
https://doi.org/10.1144/qjegh2017-051, 2018.
Marsh, T. J. and Hannaford, J. (Eds.): UK Hydrometric Register, Hydrological
data UK series, Centre for Ecology & Hydrology, 210 pp., https://nora.nerc.ac.uk/id/eprint/3093/ (last access: 27 April 2023), 2008.
Moore, R. J.: The PDM rainfall-runoff model, Hydrol. Earth Syst. Sci., 11, 483–499, https://doi.org/10.5194/hess-11-483-2007, 2007.
Moore, R. J. and Bell, V. A.: Incorporation of groundwater losses and well level data in rainfall-runoff models illustrated using the PDM, Hydrol. Earth Syst. Sci., 6, 25–38, https://doi.org/10.5194/hess-6-25-2002, 2002.
Moore, R. J., Cole, S. J., Bell, V. A., and Jones, D. A.: Issues in flood
forecasting: ungauged basins, extreme floods and uncertainty, in: Frontiers in Flood
Research, edited by:
Tchiguirinskaia, I., Thein, K. N. N., and Hubert, P., 8th Kovacs Colloquium, UNESCO, Paris, June/July 2006, IAHS Publ.
305, 103–122, https://iahs.info/uploads/dms/13517.09-103-122-305-07-Moore-et-al.pdf (last access: 27 April 2023), 2006.
Murgatroyd, A. and Hall., J. W.: The Resilience of Inter-basin Transfers to
Severe Droughts With Changing Spatial Characteristics, Front.
Environ. Sci., 8, 571647,
https://doi.org/10.3389/fenvs.2020.571647, 2021.
Murphy, J., Sexton, D., Jenkins, G., Booth, B., Brown, C., Clark, R.,
Collins, M., Harris, G., Kendon, E., Betts, R., Brown, S., Boorman, P.,
Howard, T., Humphrey, K., McCarthy, M., McDonald, R., Stephens, A., Wallace,
C., Warren, R., Wilby, R., and Wood, R.: UK Climate Projections Science
Report: Climate change projections. Met Office Hadley Centre: Exeter, https://webarchive.nationalarchives.gov.uk/20181204111026/http://ukclimateprojections-ukcp09.metoffice.gov.uk/22530 (last access: 27 April 2023), 2009.
Murphy J. M., Harris, G. R., Sexton, D. M. H., Kendon, E. J., Bett, P. E., Brown,
S. J., Clark, R. T., Eagle, K., Fosser, G., Fung, F., Lowe, J. A., McDonald,
R. E., McInnes, R. N., McSweeney, C. F., Mitchell, J. F. B., Rostron, J.,
Thornton, H. E., Tucker, S., and Yamazaki, K.: UKCP18 Land Projections:
Science Report, Met Office Hadley Centre, Exeter, https://www.metoffice.gov.uk/pub/data/weather/uk/ukcp18/science-reports/UKCP18-Overview-report.pdf (last access: 27 April 2023), 2018.
Natural Environment Research Council (NERC): Countryside Survey 2000 Module
7. Land Cover Map 2000 Final Report, Centre for Ecology and Hydrology,
Wallingford, UK, https://www.ceh.ac.uk/sites/default/files/2021-11/LCM2000 dataset information.pdf (last access: 27 April 2023), 2000.
Natural Resources Wales: Water Framework Directive (WFD) Groundwater Bodies
Cycle 2, DataMapWales [data set], https://datamap.gov.wales/layers/inspire-nrw:NRW_WFD_GROUNDWATER_C2, last access: 27 April 2023.
Nelder, J. A., and Mead, R.: A simplex method for function minimization,
Comput. J., 7, 308–313, 1965.
NRFA: Catchment Rainfall, UK-Scape [data set], https://nrfa.ceh.ac.uk/catchment-rainfall, last access: 9 June
2021.
Ó Dochartaigh, B. E. O., Macdonald, A. M., Fitzsimons, V., and Ward, R.:
Scotland's aquifers and groundwater bodies, British
Geological Survey, OR/15/028, Nottingham, UK, 76 pp., https://nora.nerc.ac.uk/id/eprint/511413/1/OR15028.pdf (last access: 27 April 2023), 2015.
Parry, S., Mackay, J. D., Chitson, T., Hannaford, J., Bell, V. A., Facer-Childs, K., Kay, A., Lane, R., Moore, R. J., Turner, S., and Wallbank, J.: Divergent future drought projections in UK river flows and groundwater levels, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2023-59, in review, 2023.
Perrin, C., Michel, C., and Andréassian, V.: Improvement of a
parsimonious model for streamflow simulation, J. Hydrol., 279, 275–289,
https://doi.org/10.1016/S0022-1694(03)00225-7, 2003.
Prudhomme, C., Young, A., Watts, G., Haxton, T., Crooks, S., Williamson, J.,
and Allen, S.: The drying up of Britain? A national estimate of changes in
seasonal river flows from 11 Regional Climate Model simulations,
Hydrol. Process., 26, 1115–1118, 2012.
Prudhomme, C., Haxton, T., Crooks, S., Jackson, C., Barkwith, A., Williamson, J., Kelvin, J., Mackay, J., Wang, L., Young, A., and Watts, G.: Future Flows Hydrology: an ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain, Earth Syst. Sci. Data, 5, 101–107, https://doi.org/10.5194/essd-5-101-2013, 2013.
Pushpalatha, R., Perrin, C., Le Moine, N., Mathevet, T., and
Andréassian, V. A.: Downward structural sensitivity analysis of
hydrological models to improve low-flow simulation, J. Hydrol.,
411, 66–76, 2011.
Rameshwaran, P., Bell, V. A., Brown, M. J., Davies, H. N., Kay, A. L., Rudd,
A. C., and Sefton, C.: Use of abstraction and discharge data to improve the
performance of a national-scale hydrological model, Water Resour.
Res., 58, e2021WR029787, https://doi.org/10.1029/2021WR029787, 2022.
Robinson, E. L., Blyth, E., Clark, D. B., Comyn-Platt, E., Finch, J., and
Rudd, A. C.: Climate hydrology and ecology research support system
meteorology dataset for Great Britain (1961–2015) [CHESS-met], NERC
Environmental Information Data Centre [data set],
https://doi.org/10.5285/10874370-bc58-4d23-a118-ea07df8a07f2, 2016.
Robinson, E. L., Kay, A. L., Brown, M., Chapman, R., Bell, V. A., and Blyth,
E. M.: Potential evapotranspiration derived from the UK Climate Projections
2018 Regional Climate Model ensemble 1980–2080 (Hydro-PE UKCP18 RCM), UK CEH [data set],
https://doi.org/10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4, 2021.
Robinson, E. L., Brown, M. J., Kay, A. L., Lane, R. A., Chapman, R., Bell, V. A., and Blyth, E. M.: Hydro-PE: gridded datasets of historical and future Penman-Monteith potential evaporation for the United Kingdom, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-288, in review, 2022.
Royan, A., Prudhomme, C., Hannah, D. M., Reynolds, S. J., Noble, D. G., and
Sadler, J. P.: Climate-induced changes in river flow regimes will alter
future bird distributions, Ecosphere, 6, 1–10, 2015.
Rudd, A. C. and Kay, A. L.: Use of very high resolution climate model data
for hydrological modelling: estimation of potential evaporation, Hydrol. Res., 47, 660–670, https://doi.org/10.2166/nh.2015.028, 2016.
Rudd, A. C., Bell, V. A., and Kay, A. L.: National-scale analysis of simulated
hydrological droughts (1891–2015), J. Hydrol., 550, 368–385,
https://doi.org/10.1016/j.jhydrol.2017.05.018, 2017.
Rudd, A. C., Kay, A. L., and Bell, V. A.: National-scale analysis of future
river flow and soil moisture droughts: potential changes in drought
characteristics, Climatic Change, 156, 323–340,
https://doi.org/10.1007/s10584-019-02528-0, 2019.
Samaniego, L., Thober, S., Wanders, N., Pan, M., Rakovec, O., Sheffield, J.,
and Fry, M.: Hydrological forecasts and projections for improved
decision-making in the water sector in Europe, B. Am.
Meteorol. Soc., 100, 2451–2472, 2019.
Smith, K. A., Wilby, R. L., Broderick, C., Prudhomme, C., Matthews, T.,
Harrigan, S., and Murphy, C.: Navigating cascades of uncertainty – as easy
as ABC? Not quite …, Journal of Extreme Events, 5, 1850007, https://doi.org/10.1142/S2345737618500070,
2018.
Smith, K. A., Barker, L. J., Tanguy, M., Parry, S., Harrigan, S., Legg, T. P., Prudhomme, C., and Hannaford, J.: A multi-objective ensemble approach to hydrological modelling in the UK: an application to historic drought reconstruction, Hydrol. Earth Syst. Sci., 23, 3247–3268, https://doi.org/10.5194/hess-23-3247-2019, 2019.
Tanguy, M., Prudhomme, C., Smith, K., and Hannaford, J.: Historical gridded reconstruction of potential evapotranspiration for the UK, Earth Syst. Sci. Data, 10, 951–968, https://doi.org/10.5194/essd-10-951-2018, 2018.
Tanguy, M., Haslinger, K., Svensson, C., Parry, S., Barker, L., Hannaford,
J., and Prudhomme, C.: Regional differences in spatiotemporal drought
characteristics in Great Britain, Frontiers in Environmental Science, 9,
639649, https://doi.org/10.3389/fenvs.2021.639649,
2021.
Tanguy, M., Chevuturi, A., Marchant, B. P., Mackay, J. D., Parry, S., and Hannaford, J.: How will climate change affect spatial coherence of streamflow and groundwater droughts in Great Britain?,
Environ. Res. Lett., accepted, https://doi.org/10.1088/1748-9326/acd655, 2023.
Terrier, M., Perrin, C., de Lavenne, A., Andreassin, V., Lerat, J., and Vaze,
J.: Streamflow naturalization methods: a review, Hydrological Sciences
Journal, 66, 12–36, 2021.
Teutschbein, C. and Seibert, J.: Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods, J. Hydrol., 456, 12–29, https://doi.org/10.1016/j.jhydrol.2012.05.052, 2012.
Thames Water: Draft Water Resources Management Plan, 2024, Section 4
– current and future supply,
https://thames-wrmp.co.uk/assets/images/documents/technical-report/4-Supply-Forecast.pdf, last access: 29 March 2023.
Tijdeman, E., Hannaford, J., and Stahl, K.: Human influences on streamflow drought characteristics in England and Wales, Hydrol. Earth Syst. Sci., 22, 1051–1064, https://doi.org/10.5194/hess-22-1051-2018, 2018.
Todorović, A., Grabs, C., and Teutschbein, C.: Advancing traditional
strategies for testing hydrological model fitness in a changing climate,
Hydrological Sciences Journal, 67, 1790–1811, 2022.
UKCEH: PDM Rainfall-Runoff Model: PDM for PCs, Version 3.0.3, UK Centre for Ecology & Hydrology, Wallingford, UK, 179 pp. https://www.ceh.ac.uk/services/pdm-probability-distributed-model (last access: 27 April 2023), 2022.
Visser-Quinn, A., Beevers, L., and Patidar, S.: Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization, Hydrol. Earth Syst. Sci., 23, 3279–3303, https://doi.org/10.5194/hess-23-3279-2019, 2019.
Watts, G., Battarbee, R. W., Bloomfield, J. P., Crossman, J., Daccache, A.,
Durance, I., and Hess, T.: Climate change and water in the UK – past changes
and future prospects, Prog. Phys. Geog., 39, 6–28, 2015.
Wilby, R. L. and Dessai, S.: Robust adaptation to climate change, Weather,
65, 180–185, 2010.
William, A., Bloomfield, J., Griffiths, K., and Butler, A.: Characterising
the vertical variations in hydraulic conductivity within the Chalk aquifer,
J. Hydrol., 330, 53–62, 2006.
Short summary
The eFLaG dataset is a nationally consistent set of projections of future climate change impacts on hydrology. eFLaG uses the latest available UK climate projections (UKCP18) run through a series of computer simulation models which enable us to produce future projections of river flows, groundwater levels and groundwater recharge. These simulations are designed for use by water resource planners and managers but could also be used for a wide range of other purposes.
The eFLaG dataset is a nationally consistent set of projections of future climate change impacts...
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