Impact of forcing on sublimation simulations for a high mountain catchment in the semiarid Andes
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Published:2020-01-17
Issue:1
Volume:14
Page:147-163
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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:
Réveillet Marion, MacDonell ShelleyORCID, Gascoin SimonORCID, Kinnard ChristopheORCID, Lhermitte StefORCID, Schaffer Nicole
Abstract
Abstract. In the semiarid Andes of Chile, farmers and industry in the
cordillera lowlands depend on water from snowmelt, as annual rainfall is
insufficient to meet their needs. Despite the importance of snow cover for
water resources in this region, understanding of snow depth distribution and
snow mass balance is limited. Whilst the effect of wind on snow cover
pattern distribution has been assessed, the relative importance of melt
versus sublimation has only been studied at the point scale over one
catchment. Analyzing relative ablation rates and evaluating uncertainties
are critical for understanding snow depth sensitivity to variations in
climate and simulating the evolution of the snowpack over a larger area and
over time. Using a distributed snowpack model (SnowModel), this study aims
to simulate melt and sublimation rates over the instrumented watershed of La
Laguna (513 km2, 3150–5630 m a.s.l., 30∘ S, 70∘ W),
during two hydrologically contrasting years (i.e., dry vs. wet). The model is
calibrated and forced with meteorological data from nine Automatic Weather
Stations (AWSs) located in the watershed and atmospheric simulation outputs
from the Weather Research and Forecasting (WRF) model. Results of
simulations indicate first a large uncertainty in sublimation-to-melt ratios
depending on the forcing as the WRF data have a cold bias and overestimate
precipitation in this region. These input differences cause a doubling of
the sublimation-to-melt ratio using WRF forcing inputs compared to AWS.
Therefore, the use of WRF model output in such environments must be
carefully adjusted so as to reduce errors caused by inherent bias in the
model data. For both input datasets, the simulations indicate a similar
sublimation fraction for both study years, but ratios of sublimation to melt
vary with elevation as melt rates decrease with elevation due to decreasing
temperatures. Finally results indicate that snow persistence during the
spring period decreases the ratio of sublimation due to higher melt rates.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
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