Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.509226
Title: Controls on spatial and temporal variability in the snowpack of a high Arctic ice cap
Author: Bell, Christina
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2008
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
Abstract:
In this study, near-surface stratigraphy was measured in snowpits and shallow ice cores across all snow facies of a High Arctic ice cap in order to examine variability at different spatial (metre to > kilometre) and temporal (seasonal and inter-annual) resolutions.  Additionally, dye tracing was employed to investigate processes controlling meltwater percolation and refreezing.  Pre-melt snowpack densities were low at all spatial scales, whilst different inter-annual post-melt stratigraphies at > 1 km scales showed high variability.  This is attributed to different extrinsic conditions generating dissimilar surface melt and percolation regimes.  Variability at small spatial scales is related to the intrinsic stratigraphic properties of the pre-melt snowpack. A snowpack model was applied to a single point at 1400 m.a.s.l. over the course of two summers, to assess its simulation of the observed dissimilar annular density evolution. The model performed poorly due to an inability to simulate ice layers in the near surface snowpack, which are the main property controlling variability.  Modelled thermal regimes and densification were also unrealistic and found to be highly sensitive to albedo.  The model may be improved by incorporating diurnal Albedo variations; known to be a strong control on surface melting at high latitudes. Overall, combined in-situ measurements and modelling results show that the relationship between near-surface densification and air temperature is not straightforward.  Extrapolation of generalised trends between the two, across large spatial and temporal scales, should be avoided since spatial and temporal variability can be high.  This should be considered when up-scaled modelling of surface mass balance and firm densification is utilised during interpretations of SRA-based estimates of elevation change across large ice masses over several years.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.509226  DOI: Not available
Keywords: Ice caps ; Devon Island (Nunavut)
Share: