Bloomfield, J.P.; Marchant, B.P.; Wang, L.
Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015)
Cite this dataset as:
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
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This dataset is made available under the terms of the Open Government Licence
https://doi.org/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.
Publication date: 2018-03-12
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
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.
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.
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 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
BGS © NERC 2019
Related
This dataset is included in the following collections
Citations
Barker, L.J., Hannaford, J., Parry, S., Smith, K.A., Tanguy, M., & Prudhomme, C. (2019). Historic hydrological droughts 1891-2015: systematic characterisation for a diverse set of catchments across the UK. Hydrology and Earth System Sciences, 23(11), 4583-4602. https://doi.org/10.5194/hess-23-4583-2019
British Geological Survey (2021). RSK0066 - Risk Assessment and Risk Planning. UK Parliament Select Committee Publications. https://committees.parliament.uk/writtenevidence/21952/pdf/
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 10:41