Identification

Title

Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015)

Abstract

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

Resource type

dataset

Resource locator

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

name: Download the data

description: Download a copy of this data

function: download

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

Unique resource identifier

code

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

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

environment

geoscientificInformation

inlandWaters

Keywords

Keyword set

keyword value

Geology

Hydrography

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

GeoNames

reference date

date type

creation

effective date

2006-01-01

Keyword set

keyword value

Historic Droughts

Droughts

Water scarcity

Drought inventory

Drought catalogue

Drought indicator

SGI

Standardised Groundwater level Index

Borehole

Geographic location

West bounding longitude

-8.648

East bounding longitude

1.768

North bounding latitude

60.861

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

1891-01-01

End position

2015-12-31

Dataset reference date

date type

publication

effective date

2018-03-12

Frequency of update

notPlanned

Quality and validity

Lineage

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.

Conformity

Conformity report

specification

title

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

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

Comma-separated values (CSV)

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

BGS © NERC 2019

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

British Geological Survey

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

British Geological Survey

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

British Geological Survey

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

British Geological Survey

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

publisher

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2023-04-27T09:42:52

Metadata language

eng