A local model of snow–firn dynamics and application to the Colle Gnifetti site
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Published:2022-03-16
Issue:3
Volume:16
Page:1031-1056
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Banfi FabiolaORCID, De Michele CarloORCID
Abstract
Abstract. The regulating role of glaciers in catchment run-off is of
fundamental importance in sustaining people living in low-lying
areas. The reduction in glacierized areas under the effect of
climate change disrupts the distribution and amount of run-off,
threatening water supply, agriculture and hydropower. The prediction
of these changes requires models that integrate hydrological,
nivological and glaciological processes. In this work we propose a
local model that combines the nivological and glaciological
scales. The model describes the formation and evolution of the
snowpack and the firn below it, under the influence of temperature,
wind speed and precipitation. The model has been implemented in two
versions: (1) a multi-layer one that considers separately each firn
layer and (2) a single-layer one that models firn and underlying
glacier ice as a single layer. The model was applied at the site of
Colle Gnifetti (Monte Rosa massif, 4400–4550 ma.s.l.). We
obtained an average reduction in annual snow accumulation due to
wind erosion of 2×103 kgm-2yr-1 to be
compared with a mean annual precipitation of about
2.7×103 kgm-2yr-1. The conserved
accumulation is made up mainly of snow deposited between April and
September, when temperatures above the melting point are also observed.
End-of-year snow density, instead, increased an average of
65 kg m−3 when the contribution of wind to snow compaction
was added. Observations show a high spatial and interannual
variability in the characteristics of snow and firn at the site and
a correlation of net balance with radiation and the number of melt
layers. The computation of snowmelt in the model as a sole
function of air temperature may therefore be one of the reasons for
the observed mismatch between model and observations.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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