BGS Hosted Metadata
Historic reconstructions of monthly groundwater levels for 54 UK boreholes (1891-2015)
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
Simple
- Date (Publication)
- 2018-03-09
- Citation identifier
- https://catalogue.ceh.ac.uk/id/ccfded8f-c8dc-4a24-8338-5af94dbfcc16
- Citation 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
- Point of contact
-
Organisation name Individual name Electronic mail address Role British Geological Survey Bloomfield, J.
Point of contact British Geological Survey Bloomfield, J.P.
Author British Geological Survey Marchant, B.P.
Author British Geological Survey Wang, L.
Author NERC EDS Environmental Information Data Centre Custodian NERC Environmental Information Data Centre Publisher
- Maintenance and update frequency
- Not planned
-
GEMET - INSPIRE themes, version 1.0
-
-
Geology
-
Hydrography
-
- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
-
BGS © NERC 2019
- Use constraints
- 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
- Text, table
- Language
- English
- Character set
- 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
-
Name Version Comma-separated values (CSV)
- Distributor contact
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/data/ccfded8f-c8dc-4a24-8338-5af94dbfcc16 Download the data
- OnLine resource
-
Protocol Linkage Name https://data-package.ceh.ac.uk/sd/ccfded8f-c8dc-4a24-8338-5af94dbfcc16.zip Supporting information
- Hierarchy level
- Dataset
- Other
-
dataset
Conformance result
- 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
- Date (Publication)
- 2010-12-08
- 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).
Metadata
- File identifier
- ccfded8f-c8dc-4a24-8338-5af94dbfcc16 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
-
dataset
- Date stamp
- 2025-03-21T13:35:39
- Metadata standard name
- UK GEMINI
- Metadata standard version
-
2.3
- Metadata author
-
Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
)))
