nonCciKeyword

Soil moisture

9 record(s)

 

Type of resources

Keywords

Topics

INSPIRE themes

Contact for the resource

Provided by

Years

Formats

Representation types

Update frequencies

Resolution

Regions

GEMET keywords

From 1 - 9 / 9
  • 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

  • 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

  • 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

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture monitoring network) from the start of the network, in October 2013, to the end of 2016. These data are from 42 sites active across UK during this time, recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and net radiation data which are used to derive potential evapotranspiration at a daily resolution. Full details about this dataset can be found at https://doi.org/10.5285/02e54a4e-c421-4222-a08b-3708a00495e3

  • 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

  • [THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture monitoring network) from the start of the network, in October 2013, to the end of 2015. These data are from 32 sites active across Great Britain during this time, recording a range of hydrometeorological and soil variables. Each site in the network hosts a cosmic-ray sensing probe; a novel sensor technology which can be used, in combination with hydrometeorological data, to calculate the volumetric water content of soil over a field scale. The hydrometeorological and soil data are recorded at a 30 minute resolution and they include neutron counts from the Cosmic-ray sensing probe, humidity and atmospheric pressure data that are used to derive volumetric water content at two temporal resolutions (hourly and daily). Also included are soil heat flux, air temperature, wind speed and net radiation data which are used to derive potential evapotranspiration at a daily resolution. Full details about this dataset can be found at https://doi.org/10.5285/cdcf6ec3-1949-4fe7-a6f2-33c7403eafa1

  • 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

  • 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

  • This dataset contains daily and sub-daily hydrometeorological and soil observations from COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2018. These data are from 50 sites across the UK recording a range of hydrometeorological and soil variables. Each site in the network records the following hydrometeorological and soil data at 30 minute resolution: Radiation (short wave, long wave and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point senors at various depths. Each site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), at two temporal resolutions (hourly and daily). The presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted and the snow water equivalent (SWE) is given. The potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution. Two levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data, indicating the reason for any missing data. Full details about this dataset can be found at https://doi.org/10.5285/37702a54-b7a4-40ff-b62e-d14b161b69ca