Date (Publication)

2018-03-12

Identifier

https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc

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 Not planned

GEMET - INSPIRE themes, version 1.0

• Geology
• Hydrography

Access constraints

otherRestrictions Other restrictions

Other constraints

no limitations

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is made available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

BGS © NERC 2019

Use constraints

otherRestrictions Other restrictions

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 Text, table

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Environment
• Geoscientific information
• Inland waters

Begin date

1891-01-01

End date

2015-12-31

Unique resource identifier

OSGB 1936 / British National Grid

Distribution format

• Comma-separated values (CSV) ()

OnLine resource

Download the data

Download a copy of this data

OnLine resource

Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level

dataset Dataset

Other

dataset

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.

File identifier

d92c91ec-2f96-4ab2-8549-37d520dbd5fc XML

Metadata language

EnglishEnglish

Character set

ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1

Hierarchy level

dataset Dataset

Hierarchy level name

dataset

Date stamp

2025-03-21T13:34:56

Metadata standard name

UK GEMINI

Metadata standard version

2.3