26b8ddd4-09fd-4e40-a556-6a8f3a7481ea English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:16:59 UK GEMINI 2.3 OSGB 1936 / British National Grid Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017 2022-05-11 publication https://catalogue.ceh.ac.uk/id/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea 10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea doi: 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 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 Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1516-6834 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Peng, J. Helmholtz Centre for Environmental Research - UFZ jian.peng@ufz.de https://orcid.org/0000-0002-4071-0512 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Robinson, E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-3746-4517 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Pinnington, E. Cervest ewan.pinnington@googlemail.com https://orcid.org/0000-0003-1869-3426 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Evans, J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4194-1416 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ellis, R. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-9667-7478 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Cooper, E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-1575-4222 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Hannaford, J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5256-3310 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Blyth, E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-5052-238X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Dadson, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-6144-4639 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Tanguy, M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact 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 Meteorological geographical features theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Soil Great Britain Soil moisture remote sensing land surface model Triple Collocation Analysis ASCAT SMAP otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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].  otherRestrictions 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 otherRestrictions 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 grid 12500 1000 English utf8 environment 2015-04-01 2017-12-31 -8.648 1.768 49.864 60.861 NetCDF 4 NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.