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| Titel |
Performances of the snow accumulation melting model SAMM: results in the Northern Apennines test area |
| VerfasserIn |
Daniela Lagomarsino, Gianluca Martelloni, Samuele Segoni, Filippo Catani, Riccardo Fanti |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250077419
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| Zusammenfassung |
| In this work we propose a snow accumulation-melting model (SAMM) to forecast the
snowpack height and we compare the results with a simple temperature index model and an
improved version of the latter.For this purpose we used rainfall, temperature and snowpack
thickness 5-years data series from 7 weather stations in the Northern Apennines
(Emilia Romagna Region, Italy). SAMM is based on two modules modelling the
snow accumulation and the snowmelt processes. Each module is composed by two
equations: a mass conservation equation is solved to model snowpack thickness and
an empirical equation is used for the snow density. The processes linked to the
accumulation/depletion of the snowpack (e.g. compression of the snowpack due to newly
fallen snow and effects of rainfall) are modelled identifying limiting and inhibitory factors
according to a kinetic approach. The model depends on 13 empirical parameters, whose
optimal values were defined with an optimization algorithm (simplex flexible) using
calibration measures of snowpack thickness. From an operational point of view,
SAMM uses as input data only temperature and rainfall measurements, bringing the
additional advantage of a relatively easy implementation. In order to verify the
improvement of SAMM with respect to a temperature-index model, the latter was
applied considering, for the amount of snow melt, the following equation: M =
fm(T-T0), where M is hourly melt, fm is the melting factor and T0 is a threshold
temperature. In this case the calculation of the depth of the snowpack requires the use of 3
parameters: fm, T0 and Ï0 (the mean density of the snowpack). We also performed a
simulation by replacing the SAMM melting module with the above equation and
leaving unchanged the accumulation module: in this way we obtained a model with 9
parameters. The simulations results suggest that any further extension of the simple
temperature index model brings some improvements with a consequent decrease of
the mean error between model and experimental data of the snowpack thickness. |
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