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
dataset
https://data-package.ceh.ac.uk/data/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
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description: Download a copy of this data
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https://data-package.ceh.ac.uk/sd/d92c91ec-2f96-4ab2-8549-37d520dbd5fc.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc
doi:
eng
environment
geoscientificInformation
inlandWaters
Geology
Hydrography
publication
2008-06-01
creation
2006-01-01
Historic Droughts
Droughts
Water scarcity
Drought inventory
Drought catalogue
Drought indicator
SGI
Standardised Groundwater level Index
Borehole
-8.648
1.768
60.861
49.864
1891-01-01
2015-12-31
publication
2018-03-12
notPlanned
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.
publication
2010-12-08
Comma-separated values (CSV)
BGS © NERC 2019
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
British Geological Survey
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British Geological Survey
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British Geological Survey
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British Geological Survey
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NERC EDS Environmental Information Data Centre
custodian
NERC Environmental Information Data Centre
publisher
Environmental Information Data Centre
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Lancaster
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UK
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2023-04-27T09:42:52