NERC Data Catalogue Service
Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015)
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2018-03-12
- Identifier
- doi: / 10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
- Other citation details
- 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
- Maintenance and update frequency
- notPlanned
- GEMET - INSPIRE themes, version 1.0 ()
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- Geology
- Hydrography
- GeoNames
- Keywords
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- Historic Droughts
- Droughts
- Water scarcity
- Drought inventory
- Drought catalogue
- Drought indicator
- SGI
- Standardised Groundwater level Index
- Borehole
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- BGS © NERC 2019
- Use constraints
- otherRestrictions
- Other constraints
- 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
- textTable
- Topic category
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- Environment
- Geoscientific information
- Inland waters
))
- Begin date
- 1891-01-01
- End date
- 2015-12-31
Distribution Information
- Data format
-
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Comma-separated values (CSV)
()
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Comma-separated values (CSV)
()
- Resource Locator
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Download the data
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- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
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Download the data
Download a copy of this data
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
-
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 (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-05-20T10:40:25
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
