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Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017

A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset. The dataset covers the period going from 1st April 2015 to 31st December 2017, at a daily timestep, and is available at two spatial resolutions: 12.5km; and 1km, which has been obtained after resampling all three underlying datasets to a 1km resolution. Full details about this dataset can be found at https://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea

Simple

Date (Publication)
2022-05-11
Citation identifier
https://catalogue.ceh.ac.uk/id/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
Citation identifier
doi: / 10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea
Other citation details

Tanguy, M., Peng, J., Robinson, E., Pinnington, E., Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S. (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017. NERC EDS Environmental Information Data Centre 10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea

Point of contact
Organisation name Individual name Electronic mail address Role
UK Centre for Ecology & Hydrology Tanguy, M.

enquiries@ceh.ac.uk

Author

Helmholtz Centre for Environmental Research - UFZ

Peng, J.

jian.peng@ufz.de

Author
UK Centre for Ecology & Hydrology Robinson, E.

enquiries@ceh.ac.uk

Author

Cervest

Pinnington, E.

ewan.pinnington@googlemail.com

Author
UK Centre for Ecology & Hydrology Evans, J.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Ellis, R.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Cooper, E.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Hannaford, J.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Blyth, E.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Dadson, S.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology

Tanguy, M.

enquiries@ceh.ac.uk

Point of contact
UK Centre for Ecology & Hydrology

enquiries@ceh.ac.uk

Owner
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian

GEMET - INSPIRE themes, version 1.0

  • Meteorological geographical features

Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

Users must acknowledge the following data source: O'Neill, P. E., S. Chan, E. G. Njoku, T. Jackson, R. Bindlish, and J. Chaubell. 2019. SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 3. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/T90W6VRLCBHI. [Accessed: March 2021]. 

Use constraints
Other restrictions
Other constraints

Users must acknowledge the following data source: H SAF (2020): ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling - Metop, EUMETSAT SAF on Support to Operational Hydrology and Water Management, http://doi.org/10.15770/EUM_SAF_H_0006

Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: Tanguy, M., Peng, J., Robinson, E., Pinnington, E., Evans, J., Ellis, R., Cooper, E., Hannaford, J., Blyth, E., Dadson, S. (2022). Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea

Spatial representation type
Grid
Distance
12500  urn:ogc:def:uom:EPSG::9001
Distance
1000  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2015-04-01
End date
2017-12-31
N
S
E
W
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Unique resource identifier
OSGB 1936 / British National Grid
Distribution format
Name Version

NetCDF

4

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/data/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea.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

A merged dataset blending two remote sensing (ASCAT and SMAP) and one modelled (JULES-CHESS land surface model) soil moisture datasets was produced under the NERC funded HydroJULES programme. The merging was done using Triple Collocation Analysis which minimises the errors from a statistical point of view, producing an improved product, continuous in time and space. Evaluation using in-situ soil moisture measurements from the COSMOS-UK network shows that the merged soil moisture integrates the characteristics of model simulation and satellite observations and particularly improves the limited temporal variability of the JULES-CHESS simulation. Soil moisture is of fundamental importance to many hydrological, biological biochemical and meteorological processes. Accurate information about soil moisture is therefore valuable to a wide range of stakeholders. Despite this, widespread, continuous and reliable measurements of soil moisture are currently not widely available. Remote sensing satellite data provides regional soil moisture data, but the accuracy is variable and missing data frequent. Soil moisture models, on the other hand, provide continuous data both in time and space, but are indirect estimates based on numerical simulations rather than observations and do not always capture the temporal dynamic of drying and wetting accurately.

Metadata

File identifier
26b8ddd4-09fd-4e40-a556-6a8f3a7481ea XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-03-21T13:20:12
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

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

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Keywords

GEMET - INSPIRE themes, version 1.0

Meteorological geographical features


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