Bloomfield, J.P.; Marchant, B.P.; Wang, L.
Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015)
Cite this dataset as:
Bloomfield, J.P.; Marchant, B.P.; Wang, L. (2018). Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre. https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16
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This dataset is made available under the terms of the Open Government Licence
https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16
This dataset is a model output created using the BGS AquiMod model. It provides monthly groundwater level relative to the Ordnance Datum (maOD) from 1891 to 2015, reconstructed for 54 observation boreholes across the UK. Based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology, 90th percentile and 10th percentile confidence bounds have been estimated and are given for each of reconstructed groundwater level time series.
Publication date: 2018-03-09
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Temporal information
Temporal extent
1891-01-01 to 2015-12-31
Provenance & quality
Groundwater levels have been reconstructed using BGS AquiMod model. Monte Carlo (MC) simulations were undertaken to calibrate the models. These MC parameters were randomly sampled within a finite parameter range to produce one million parameter sets. The upper and lower bounds of the range for each of parameter were defined based on published data on aquifer properties or expert judgment. The quantification of uncertainty is based on the Generalised Likelihood Uncertainty Estimation (GLUE). Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. The 10th and 90th percentiles of the reconstructed GWL values on each date are the values which are exceeded by 90 and 10 % of the reconstructions using the behavioural parameter vectors, respectively.
Source data for the AquiMod models consisted of the following: groundwater level (GWL) data, precipitation, and temperature data. The monthly groundwater level data are been taken from the National Groundwater Level Archive, NGLA (http://www.bgs.ac.uk/research/groundwater/datainfo/levels/ngla.html). Groundwater level records in the NGLA are irregular and typically at a frequency of a month or less. Consequently, raw groundwater level data was linearly interpolated to a monthly time step prior to use in AquiMod. Precipitation and temperature data were taken from an updated / extended version of UKCP09 produced by the Historic Droughts project. Potential evapotranspiration is estimated from the temperature data (Tanguy et al., 2017 https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c).
Source data for the AquiMod models consisted of the following: groundwater level (GWL) data, precipitation, and temperature data. The monthly groundwater level data are been taken from the National Groundwater Level Archive, NGLA (http://www.bgs.ac.uk/research/groundwater/datainfo/levels/ngla.html). Groundwater level records in the NGLA are irregular and typically at a frequency of a month or less. Consequently, raw groundwater level data was linearly interpolated to a monthly time step prior to use in AquiMod. Precipitation and temperature data were taken from an updated / extended version of UKCP09 produced by the Historic Droughts project. Potential evapotranspiration is estimated from the temperature data (Tanguy et al., 2017 https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c).
Licensing and constraints
This dataset is made available under the terms of the Open Government Licence
Cite this dataset as:
Bloomfield, J.P.; Marchant, B.P.; Wang, L. (2018). Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre. https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16
BGS © NERC 2019
Related
This dataset is included in the following collections
Citations
Orehova, T., Chapanov, Y., & Bournaski, E.(2023). Solar and Climate Impacts on Groundwater Level Variations in Two Wells in England. Environmental Protection and Disaster Risks, 284-292. https://doi.org/10.1007/978-3-031-26754-3_25
Environment Agency (2023). Review of the research and scientific understanding of drought. The UK Government. https://www.gov.uk/government/publications/review-of-the-research-and-scientific-understanding-of-drought
Correspondence/contact details
John Bloomfield
British Geological Survey
Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
enquiries@bgs.ac.uk
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM
Authors
Bloomfield, J.P.
British Geological Survey
Marchant, B.P.
British Geological Survey
Wang, L.
British Geological Survey
Other contacts
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
info@eidc.ac.uk
Additional metadata
Keywords
Funding
Natural Environment Research Council Award: NE/L010151/1
Last updated
12 September 2024 12:46