ccfded8f-c8dc-4a24-8338-5af94dbfcc16 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:18:54 UK GEMINI 2.3 OSGB 1936 / British National Grid Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) 2018-03-09 publication https://catalogue.ceh.ac.uk/id/ccfded8f-c8dc-4a24-8338-5af94dbfcc16 10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16 doi: 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 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. Full details about this dataset can be found at https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16 Bloomfield, J. British Geological Survey enquiries@bgs.ac.uk pointOfContact Bloomfield, J.P. British Geological Survey enquiries@bgs.ac.uk author Marchant, B.P. British Geological Survey enquiries@bgs.ac.uk author Wang, L. British Geological Survey enquiries@bgs.ac.uk author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher notPlanned Geology Hydrography theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication United Kingdom GeoNames 2006-01-01 creation Historic Droughts Droughts Water scarcity Drought inventory Drought catalogue Groundwater level AquiMod Uncertainty Reconstructions Borehole otherRestrictions no limitations otherRestrictions This resource is made available under the terms of the Open Government Licence otherRestrictions BGS © NERC 2019 otherRestrictions If you reuse this data, you should cite: 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 textTable English utf8 environment geoscientificInformation inlandWaters 1891-01-01 2015-12-31 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ccfded8f-c8dc-4a24-8338-5af94dbfcc16 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ccfded8f-c8dc-4a24-8338-5af94dbfcc16.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).