Environmental Data: Sensitivity of modeled snow instability

Description

We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic we...

Citation

Richter, B., van Herwijnen, A., Rotach, M. W., Schweizer, J. (2020). Sensitivity of modeled snow instability. EnviDat. https://www.doi.org/10.16904/envidat.183.

Resources

• Reference run

  Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

  Reference run

• Manually observed snow profiles

  Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

  Manually observed snow profiles

• Case ALL

  Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

  Case ALL

• Case SL

  Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

  Case SL

• Case WL

  Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

  Case WL