BGS Hosted Metadata
Daily soil moisture maps for the UK (2016-2023) at 2 km resolution
The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2-km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project "Detection and Attribution of Regional Emissions (DARE-UK)". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate. Full details about this dataset can be found at https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7
Simple
- Date (Publication)
- 2024-05-08
- Citation identifier
- https://catalogue.ceh.ac.uk/id/5aa8c5b4-4485-4954-b5c3-18d937a418f7
- Citation identifier
- doi: / 10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7
- Other citation details
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Levy, P.E. (2024). Daily soil moisture maps for the UK (2016-2023) at 2 km resolution. NERC EDS Environmental Information Data Centre 10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7
- Point of contact
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Organisation name Individual name Electronic mail address Role UK Centre for Ecology & Hydrology Levy, P.E. Author NERC EDS Environmental Information Data Centre Custodian UK Centre for Ecology & Hydrology Levy, P.E. Point of contact 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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Soil
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GEMET - Concepts, version 4.1.3
- Keywords
- Access constraints
- Other restrictions
- Other constraints
- Registration is required to access this data
- Use constraints
- Other restrictions
- Use constraints
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If you reuse this data, you should cite: Levy, P.E. (2024). Daily soil moisture maps for the UK (2016-2023) at 2 km resolution. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7
- Spatial representation type
- Grid
- Distance
- 2000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Begin date
- 2016-01-01
- End date
- 2023-12-31
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version TIFF
- 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/data/5aa8c5b4-4485-4954-b5c3-18d937a418f7 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/5aa8c5b4-4485-4954-b5c3-18d937a418f7.zip Supporting information
- 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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We developed a statistical model of soil moisture, calibrated on a network of cosmic-ray neutron sensors in the UK. We found that applying an exponentially-weighted moving-average filter effectively linearised the effect of precipitation, so we could form a simple linear model. With this, we integrated remotely-sensed soil moisture data. To extrapolate across the whole country, we inferred information on the soil water retention properties from daily water balance data from ~1200 catchments with wide coverage. We used a Bayesian approach to allow the uncertainty from the calibration at 40 sites to be propagated through the extrapolation on a grid covering the whole UK. The Met Office High Resolution Numerical Weather Prediction model (NWP-UKV), which incorporates the C-band rainfall radar network, provides very detailed data on the variation in precipitation which arises from the sporadic nature of rainfall events and interactions with orography in near-real time, to predict small-scale, short-term variation in soil moisture.
Metadata
- File identifier
- 5aa8c5b4-4485-4954-b5c3-18d937a418f7 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T09:33:32
- 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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