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hydrology

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  • This CD-ROM set contains the Volume 1 hydrology and soil data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). This dataset contains data covering: * Precipitation * Hydrology cover * River basin streamflow * Global soil properties

  • This dataset contains monthly maps of dry and wet snow for a Himalayan river basin in northern India. The data were collected as part of the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project aimed at improving our understanding on how water is stored in, and moves through, a Himalayan river system in northern India. The maps were obtained by combining satellite remote sensing images from Sentinel-1 and the Moderate Resolution Imaging Spectroradiometer (MODIS). The resolution of the maps is 500m and the coordinate system is EPSG:4326. The dry snow data correspond to the MODIS land cover product (MCD12Q1). The wet snow data were obtained from Sentinel-1 by applying a -2dB threshold on the backscatter ratio between a Sentinel-1 image with wet snow and a reference Sentinel-1 image with only dry snow. The possible pixel values are: 0: no snow, 1-100: wet snow cover fraction, 101-200: dry snow cover fraction with an offset of 100, 240: missing Sentinel-1 data, 250: pixel wrongly identified as wet snow by Sentinel-1 (false positives), 255: fill value. The images are GeoTIFF formatted.

  • Subglacial Lake CECs was previously identified using radar profile data. Subglacial Lake CECs lies beneath 2650 m of ice, close to the Ellsworth Mountains at the divide between the Minnesota Glacier and Rutford and Institute Ice Streams in Antarctica. Four seismic reflection profiles were acquired across the lake to determine water column depth and investigate lake bed properties. Shot gathers with 48 channels and a maximum offset of 500 m were recorded. A seismic refraction experiment was undertaken to determine seismic velocities in the firn. Dual frequency and RTK GPS were used to determine shot locations. Seismic surveys indicate a maximum water depth of 301.3 +/- 1.5 m, at the widest part of the lake, with an estimated lake volume of 2.5 +/- 0.3 km3. Imaging of the ice-lake interface indicates topography with slopes of up to 1.9 degrees. This research was supported by the Natural Environment Research Council, British Antarctic Survey (Polar Science for Planet Earth Programme) and Centro de Estudios Cientificos, Valdivia, Chile.

  • The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2-km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project "Detection and Attribution of Regional Emissions (DARE-UK)". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate. Full details about this dataset can be found at https://doi.org/10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7

  • This dataset provides supraglacial lake extents and depths as included in the paper by Arthur et al. (in review, Nature Comms.) entitled " Large interannual variability in supraglacial lakes around East Antarctica". Please cite this paper if using this data. This dataset consists of (1) shapefiles of supraglacial lake extents around the East Antarctic Ice Sheet derived from Landsat-8 imagery acquired between January 2014 and 2020 and (2) rasters of supraglacial lake depths derived from Landast-8 imagery acquired over the same period. The datasets presented here were used to analyse the spatial distribution and interannual variability in lake distributions and volume. Funding was provided by NERC DTP grant NE/L002590/1 and NERC grant NE/R000824/1.

  • Datasets from the Resolving subglacial properties, hydrological networks and dynamic evolution of ice flow on the Greenland Ice Sheet (RESPONDER) project as published in the paper by Chudley et al. entitled "Supraglacial lake drainage at a fast-flowing Greenlandic outlet glacier". Please cite this paper if using this data. This dataset consists of observations of the rapid drainage of a supraglacial lake on Store Glacier, a marine-terminating outlet glacier of the west Greenland Ice Sheet. ''Lake 028'', located 70.57degN, 50.08degW, drained on 2018-07-07 and was recorded using a variety of geophysical instrumentation. The dataset presented here includes all data necessary to replicate the findings presented in the main paper, including UAV photogrammetry-derived raster data (producing a series of orthophotos, digital elevation models, and velocity fields) and time-series records from in-situ geophysical instrumentation (GPS receiver, geophone, and water pressure sensor). Funding was provided by NERC DTP grant NE/L002507/1 and ERC Horizon 2020 grant 683043.

  • This dataset provides supraglacial lake extents as published in the paper by Arthur et al. (2020) entitled "Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica". Please cite this paper if using this data. This dataset consists of (1) shapefiles of supraglacial lake extents on Shackleton Ice Shelf, in Queen Mary Land, East Antarctica (65 degS; 100 degE) derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 1974 and 2020 and (2) rasters of supraglacial lake depths derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 2000 and 2020. The datasets presented here were used to analyse the spatial distribution of lakes, lake densities, elevation, slope and ice surface velocity distributions, proximity to exposed bedrock, blue ice and the grounding line, and time series of lake area, depth and volume. Funding was provided by NERC DTP grant NE/L002590/1 and NERC grant NE/R000824/1.