Quantitative Hydrologic Storylines¶
storylines is a framework for characterizing uncertainty in traditional hydroloic climate impacts modeling chains (climate models, downscaling methods, hydrologic models). It includes tools for evaluating model fidelity and culling models accordingly to reduce these uncertainties, and finally distilling projections into a discrete set of quantitative hydrologic storylines that represent key, impact-focused, features from the full range of future scenarios.
storylines is being developed at the National Center for Atmospheric Research (NCAR), Research Applications Laboratory (RAL) - Hydrometeorological Applications Program (HAP) under the support of USACE.
Important links¶
- HTML documentation: http://storylines.readthedocs.io
- Issue tracker: http://github.com/jhamman/storylines/issues
- Source code: http://github.com/jhamman/storylines
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