Tanguy, M. et al

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.

Publication date: 2022-05-11

Get the data

This dataset is available under the terms of the Open Government Licence

Format of the data: NetCDF

You must 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

 

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]. 

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

Where/When

Study area
Temporal extent
2015-04-01    to    2017-12-31

Provenance & quality

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.

Correspondence/contact details

Dr. Maliko Tanguy
UK Centre for Ecology & Hydrology
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
 enquiries@ceh.ac.uk

Authors

Tanguy, M.
UK Centre for Ecology & Hydrology
Peng, J.
Helmholtz Centre for Environmental Research - UFZ
Robinson, E.
UK Centre for Ecology & Hydrology
Evans, J.
UK Centre for Ecology & Hydrology
Ellis, R.
UK Centre for Ecology & Hydrology
Cooper, E.
UK Centre for Ecology & Hydrology
Hannaford, J.
UK Centre for Ecology & Hydrology
Blyth, E.
UK Centre for Ecology & Hydrology
Dadson, S.
UK Centre for Ecology & Hydrology

Other contacts

Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Rights Holder
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

Additional metadata

Topic categories
Environment
Keywords
ASCAT,  Great Britain,  land surface model,  remote sensing,  SMAP,  Soil Soil moisture,  Triple Collocation Analysis
INSPIRE Theme
Meteorological geographical features
Funding
Natural Environment Research Council Award: NE/S017380/1
Spatial representation type
Raster
Spatial reference system
OSGB 1936 / British National Grid
Last updated
18 May 2022 12:19