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An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada
Soil moisture and precipitation have been monitored in a hydrometeorological network situated within the Brightwater Creek basin, east of Kenaston, Saskatchewan, Canada, since 2007. The majority of the prairie landscape is annually cropped with some sections in pasture. This agricultural region is i...
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Published in: | Earth system science data 2019-06, Vol.11 (2), p.787-796 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Soil moisture and precipitation have been monitored in a
hydrometeorological network situated within the Brightwater Creek basin, east
of Kenaston, Saskatchewan, Canada, since 2007. The majority of the prairie
landscape is annually cropped with some sections in pasture. This
agricultural region is ideal for remote-sensing validation and calibration
and, in conjunction with the flux tower situated within the network,
hydrological model validation. Remote-sensing validation collaborations have
included the European Space Agency's Soil Moisture and Ocean Salinity (SMOS) and
NASA's Soil Moisture Active Passive (SMAP). The network was developed at two
spatial scales, one high-resolution set of sites installed over a
10 km × 10 km region and a second installed over
40 km × 40 km. The sites are all similar in design with three
instrument depths for soil moisture and temperature, as well as precipitation
measurement. The 2007–2017 dataset published in this paper has gone through
a quality control review process, which involved both automated and manual
processes. The dataset is limited to the summer months (1 May–30 September)
due to the uncertainties and complexities of measurement in frozen soils and
the freeze–thaw period each year. Data discussed in this publication are
available at https://doi.org/10.20383/101.0116, and data beyond 2017 can be requested
from the corresponding author. |
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ISSN: | 1866-3516 1866-3508 1866-3516 |
DOI: | 10.5194/essd-11-787-2019 |