BGS Hosted Metadata
Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015)
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
Simple
- Date (Publication)
- 2018-03-12
- Citation identifier
- https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
- Citation identifier
- doi: / 10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
- Other citation details
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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
- Point of contact
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Organisation name Individual name Electronic mail address Role British Geological Survey Bloomfield, J.
Point of contact British Geological Survey Bloomfield, J.P.
Author British Geological Survey Marchant, B.P.
Author British Geological Survey Wang, L.
Author NERC EDS Environmental Information Data Centre Custodian NERC Environmental Information Data Centre Publisher
- Maintenance and update frequency
- Not planned
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GEMET - INSPIRE themes, version 1.0
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Geology
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Hydrography
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
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- Other restrictions
- Use constraints
- Other restrictions
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BGS © NERC 2019
- Use constraints
- Other restrictions
- Other constraints
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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
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Geoscientific information
- Inland waters
- Begin date
- 1891-01-01
- End date
- 2015-12-31
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/d92c91ec-2f96-4ab2-8549-37d520dbd5fc Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/d92c91ec-2f96-4ab2-8549-37d520dbd5fc.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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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.
Metadata
- File identifier
- d92c91ec-2f96-4ab2-8549-37d520dbd5fc XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T13:34:56
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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