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High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022

Publisher
Environmental Information Data Centre
Updated
4 September 2026
Topic
Not set
Licence
Not set

Summary

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

Data links

Link Format Preview Updated
Download the data 4/9/2026
Supporting information ZIP 4/9/2026

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Additional information

Source Metadata
XML, HTML
Date added
02 September 2026
Harvest GUID
cf70f798-442a-4775-963c-b6600023830f
Extent (Latitude)
51.88° to 51.85°
Extent (Longitude)
-1.6° to -1.66°
Dataset reference date (publication)
2022-09-06
Access constraints
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
Responsible party
(author, pointOfContact, publisher, owner, custodian)
ISO 19139 resource type
dataset
Metadata language
eng