Identification

Title

Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015)

Abstract

This dataset is a model output created using the BGS AquiMod model. It provides monthly groundwater level relative to the Ordnance Datum (maOD) from 1891 to 2015, reconstructed for 54 observation boreholes across the UK. Based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology, 90th percentile and 10th percentile confidence bounds have been estimated and are given for each of reconstructed groundwater level time series. Full details about this dataset can be found at https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

Resource type

dataset

Resource locator

https://data-package.ceh.ac.uk/data/ccfded8f-c8dc-4a24-8338-5af94dbfcc16

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/ccfded8f-c8dc-4a24-8338-5af94dbfcc16.zip

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

function: information

Unique resource identifier

code

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

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

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

2018-03-09

Frequency of update

notPlanned

Quality and validity

Lineage

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).

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

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

Responsible organisations

Metadata on metadata

Metadata point of contact

organisation name

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

email address

info@eidc.ac.uk

web address

https://eidc.ac.uk/

description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.

function: information

responsible party role

pointOfContact

Metadata date

2024-09-12T12:46:10

Metadata language

eng