Models

The following models are used and in continuous development by the AHC team:

AMUNDSEN

The physically based, fully distributed snow/ice model AMUNDSEN (Alpine Multiscale Numerical Distributed Simulation Engine) has specifically been designed to simulate hydroclimatological processes in high mountain regions. It offers flexible temporal and spatial resolution and can either be forced by station recordings or output from the built-in stochastic weather generator.

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ESCIMO
ESCIMO
The one-layer plot scale snow model ESCIMO (Energy Balance Snow Cover Integrated MOdel) is designed as a physically based model for the simulation of the hourly energy balance, water equivalent and melt rates of a snow cover. The model includes parameterizations for inside-canopy meteorological conditions derived from recordings in the open, and the simulation of the snow surface energy and mass balance beneath the trees.

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ESCIMO.spread (v2)

ESCIMO.spread (v2) is a spreadsheet-based point energy balance model which simulates the energy and mass balance as well as melt rates at the snow surface. The effect of potential climate change on the seasonal evolution of the snow cover can be estimated by modifying the time series of observed temperature and precipitation by means of adjustable parameters. In the new version 2, the model includes parameterizations for inside-canopy meteorological conditions derived from recordings in the open, and the simulation of the snow surface energy and mass balance beneath the trees.

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GISMO

The GISMO (Gap Interpolation and quality Screening of Meteorological Observations) model has been developed to preprocess meteorological observations prior to an application as input for land surface models. Within this procedure, quality checking as well as gap closure is carried out.

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MELODIST


MELODISTMeteorological time series with 1 hour time step are required for many applications. These sub-daily time series generally cover shorter periods of time compared to daily time series. MELODIST (MEteoroLOgical observation time series DISaggregation Tool) is an open-source tool capable of disaggregating daily temperature, precipitation, humidity, wind speed, and shortwave radiation time series and, thus, helps to utilise daily data for sub-daily applications (i.e., by making 24 out of 1 value).

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WaSiM – ETH

WaSiM-ETH is a physically based water flow and balance simulation model designed to investigate the spatial and temporal variability of hydrological processes in complex river basins. In our studies the model is applied in the watershed of the river Berchtesgadener Ache (Germany).

… to the WaSiM-webpage …