BGS Hosted Metadata
High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022
This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1). Full details about this dataset can be found at https://doi.org/10.5285/cf70f798-442a-4775-963c-b6600023830f
Simple
- Date (Publication)
- 2022-09-06
- Citation identifier
- https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f
- Citation identifier
- doi: / 10.5285/cf70f798-442a-4775-963c-b6600023830f
- Other citation details
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Trill, E., Robotham, J., Old, G., Rameshwaran, P., Bishop, J. (2022). High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022. NERC EDS Environmental Information Data Centre 10.5285/cf70f798-442a-4775-963c-b6600023830f
- Point of contact
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Organisation name Individual name Electronic mail address Role UK Centre for Ecology & Hydrology Trill, E. Author UK Centre for Ecology & Hydrology Robotham, J. Author UK Centre for Ecology & Hydrology Old, G. Author UK Centre for Ecology & Hydrology Rameshwaran, P. Author UK Centre for Ecology & Hydrology Bishop, J.
Author UK Centre for Ecology & Hydrology Trill, E. Point of contact NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher UK Centre for Ecology & Hydrology Owner
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GEMET - INSPIRE themes, version 1.0
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Hydrography
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: Trill, E., Robotham, J., Old, G., Rameshwaran, P., Bishop, J. (2022). High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/cf70f798-442a-4775-963c-b6600023830f
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Inland waters
- Begin date
- 2018-01-01
- End date
- 2022-12-31
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version Comma-separated values (CSV)
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/cf70f798-442a-4775-963c-b6600023830f.zip Supporting information
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/cf70f798-442a-4775-963c-b6600023830f Download the data
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
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Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.
Metadata
- File identifier
- cf70f798-442a-4775-963c-b6600023830f XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T09:35:27
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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