d92c91ec-2f96-4ab2-8549-37d520dbd5fc 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 2025-11-13T16:20:49 UK GEMINI 2.3 OSGB 1936 / British National Grid Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) 2018-03-12 publication https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc 10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc doi: Bloomfield, J.P., Marchant, B.P., Wang, L. (2018). Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre 10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater levels have been estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. Probability estimates of an SGI being less than 0, -1, -1.5 and -2 are also provided. Full details about this dataset can be found at https://doi.org/10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc 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 Drought indicator SGI Standardised Groundwater level Index 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 Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre https://doi.org/10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc 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/d92c91ec-2f96-4ab2-8549-37d520dbd5fc Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/d92c91ec-2f96-4ab2-8549-37d520dbd5fc.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 Monthly standardised groundwater levels have been estimated using a non-parametric normal scores transform for the data for each calendar month. The normal scores transform assigns a value to observations, in this case monthly reconstructed groundwater levels (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16), based on their rank within a data set, in this case groundwater levels for a given month from a given hydrograph. The normal scores transform is undertaken by applying the inverse normal cumulative distribution function to n equally spaced pi values ranging from 1/(2 n) to 1 - 1/(2 n). The values that result are the SGI values. The quantification of uncertainty in the reconstructed groundwater levels for a given site is based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. For each site, all of the behavioural groundwater level reconstructions are converted to SGI series. The probability of the SGI being within an interval on a particular date is equal to the proportion of these behavioural SGI series that fall within this interval and the probability of SGI being less than 0, -1, -1.5 and -2 is reported.