Soil moisture
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This dataset consists of soil moisture profiles from permafrost in subarctic Canada. Soil mositure profiles were monitored during summer in 2013 and 2014 in Yukon and Northwest Territories. Monitored sites included peatland plateaus, unburnt and burnt black spruce forests, and additional sites. Full details about this dataset can be found at https://doi.org/10.5285/189900a4-f7a9-41bd-b6f5-eef694209f87
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The datasets contains monthly environmental data from HOBO dataloggers which were used to measure precipitation, air temperature, Photosynthetically Active Radiation (PAR), soil moisture, soil temperature and water level relative to surface from 6 points in 1km2 of upland (RSPB Forsinard Knockfin Heights) and 6 points in a 1km2 of lowland (Plantlife Munsary) blanket peatland within the Flow Country, Caithness and Sutherland. Data was obtained every 15 mins between September 2017 and November 2018 covering the 2018 European Drought Event. Full details about this dataset can be found at https://doi.org/10.5285/1be4eef2-0591-4073-bae2-e00b6ff4462f
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Relative surface soil moisture for the Thames Valley, United Kingdom, October 2015 to September 2021
This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation. Radar backscatter was normalised to 40 incidence angle, using a novel monthly normalisation parameterisation. Full details about this dataset can be found at https://doi.org/10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7
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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
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Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. To aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award. Full details about this dataset can be found at https://doi.org/10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f
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This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2004). To aid interpretation, two additional spatial datasets are provided: - Digitally-derived catchment areas on a 1km x 1km grid - Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file. The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/3b90962e-6fc8-4251-853e-b9683e37f790
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This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse fundamental processes in upland soils. These were collected to address the following questions: Do soil improvement treatments select for particular components of bacterial populations and hence drive community development? If so, at what functional and phylogenetic level is this selection expressed? Can any changes in community structure be related to changes in the function of the community or is biogeochemical function independent of community structure and controlled by other mechanisms? The work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/1cebca07-dd82-4ba2-823b-274868abda42
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The dataset contains measurements of soil temperature and volumetric water content from plots in agricultural grasslands in the Hampshire Avon catchment (UK) from late-2013 to September 2015. Manipulations of soil temperature were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand) between May and September 2015. Full details about this dataset can be found at https://doi.org/10.5285/6868abb7-db38-4362-92d5-f5d0140bdfc3
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This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1891 to 2015. To aid interpretation, two additional spatial datasets are provided: - Digitally-derived catchment areas on a 1km x 1km grid - Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file. The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity (http://www.mariusdroughtproject.org/). Full details about this dataset can be found at https://doi.org/10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0
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This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960 to 2015. To aid interpretation, two additional spatial datasets are provided: * Digitally-derived catchment areas on a 1km x 1km grid * Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file. The data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. Full details about this dataset can be found at https://doi.org/10.5285/e911196a-b371-47b1-968c-661eb600d83b