Date (Publication)

2018-03-09

Identifier

https://catalogue.ceh.ac.uk/id/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

Identifier

doi: / 10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

Other citation details

Bloomfield, J.P., Marchant, B.P., Wang, L. (2018). Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre 10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

Maintenance and update frequency

notPlanned Not planned

GEMET - INSPIRE themes, version 1.0

• Geology
• Hydrography

GeoNames

• United Kingdom

Keywords

• Historic Droughts
• Droughts
• Water scarcity
• Drought inventory
• Drought catalogue
• Groundwater level
• AquiMod
• Uncertainty
• Reconstructions
• Borehole

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 reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015) . NERC Environmental Information Data Centre https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

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

Groundwater levels have been reconstructed using BGS AquiMod model. Monte Carlo (MC) simulations were undertaken to calibrate the models. These MC parameters were randomly sampled within a finite parameter range to produce one million parameter sets. The upper and lower bounds of the range for each of parameter were defined based on published data on aquifer properties or expert judgment. The quantification of uncertainty is based on the Generalised Likelihood Uncertainty Estimation (GLUE). Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. The 10th and 90th percentiles of the reconstructed GWL values on each date are the values which are exceeded by 90 and 10 % of the reconstructions using the behavioural parameter vectors, respectively. Source data for the AquiMod models consisted of the following: groundwater level (GWL) data, precipitation, and temperature data. The monthly groundwater level data are been taken from the National Groundwater Level Archive, NGLA (http://www.bgs.ac.uk/research/groundwater/datainfo/levels/ngla.html). Groundwater level records in the NGLA are irregular and typically at a frequency of a month or less. Consequently, raw groundwater level data was linearly interpolated to a monthly time step prior to use in AquiMod. Precipitation and temperature data were taken from an updated / extended version of UKCP09 produced by the Historic Droughts project. Potential evapotranspiration is estimated from the temperature data (Tanguy et al., 2017 https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c ).

File identifier

ccfded8f-c8dc-4a24-8338-5af94dbfcc16 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

2025-11-13T16:18:54

Metadata standard name

UK GEMINI

Metadata standard version

2.3