Wallbank, John R.; Anderson, Seonaid R.; Cole, Steven J.; Moore, Robert J.; Wells, Steven C.. 2019 Deriving snow water equivalent using cosmic-ray neutron sensors from the COSMOS-UK network for modelling snowmelt floods. Geophysical Research Abstracts, 21, EGU2019-16420. 1, pp.
Abstract
The COSMOS-UK sensor network has the potential to provide new insights into extreme snowfall and snowmelt
events in the UK and to improve the modelling of snowmelt floods. The network consist of approximately 50
measurement sites, each equipped with a Cosmic-Ray Neutron Sensor (CRNS). A number of these sites additionally
include a “SnowFox” sensor for measuring snow water equivalent (SWE) and an ultrasonic snow depth sensor.
Although the CRNS is currently used to produce estimates of soil moisture, it is also sensitive to water
held as a snowpack. Moreover, the large (hundreds of metres) footprint of the CRNS potentially allows representative
measurements of SWE even for inhomogeneous snowpacks. However, to date, there has been little attempt
to produce snow products using the COSMOS-UK network, and soil moisture estimates during snowfall events
are simply removed from the record.
Here, a method is developed for using the COSMOS-UK network to derive snow products for the UK,
where shallow, ephemeral snowpacks are the norm. The challenges posed by noise from the random nature of
cosmic ray events, and the problem of separating the snow signal from moisture within the soil, are discussed. A
comparison is made of SWE derived from the COSMOS-UK network and modelled using the snow hydrology
component of the Grid-to-Grid (G2G) distributed hydrological model, and the effect on simulated river flows
discussed.
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525559:149320
Abstract
N525559AB.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
N525559AB.pdf - Published Version
Available under License Creative Commons Attribution 4.0.
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UKCEH and CEH Science Areas 2017-24 (Lead Area only) > Hydro-climate Risks
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