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Snow Modeling with SUMMA and pysumma

Waterhackweek 2019

Slack channel: #snow_modeling

Binder URL: SUMMA_on_Pangeo


Collaborators:

  • Andrew Bennett (Project Lead)
  • Nicoleta Cristea
  • Deena Hannoun-Giffen
  • Andrew Hedrick
  • Anne Heggli
  • Bart Nijssen
  • Steven Pestana

The Problem:

  • SUMMA (the Structure for Unifying Multiple Modeling Alternatives) is a integrated snow hydrology model written in Fortran. As such, PySUMMA was developed as a python wrapper to the compiled Fortran code. This workgroup will explore a variety of fundamental yet important science questions relating to the snowpack energy balance.

Data:

  • CUES (CRREL/UCSB Energy Site) energy balance site, Mammoth Mountain, California [elev. 2940 m]

Specific Questions/Goals:

  • How are different model configurations sensitive to forcing data?
  • Impact of layer thickness - Loop through different formulations of layer thicknesses and numbers.
  • Derive albedo parameter distribution informed by Bayesian analysis of outputs.

Broader Impacts and Applications:

  • Multiple water years (i.e. different climatologies) will have different effects on model parameterizations.
  • Different snow regimes will display varying sensitivities to changes in parameterizations. ...

Existing Methods/Tools and Prior Work:


Proposed Methods/Tools:

  • pysumma - This links to a specific version of @arbennett's code which has support for running ensembles of SUMMA runs.

  • SUMMA - This links to the SUMMA model page on HydroShare.


Background Reading:

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