Model data and code for "Freeze-thaw effects on daily sediment transport in an Alpine river"

Supporting information for the research article "Freeze-thaw effects on daily sediment transport in an Alpine river" by Skålevåg et al., submitted to Water Resources Research.

This data repository contains the processed data, model code, and results presented in the research article. Please refer to the article and its supplementary information for details on primary data.

Contents:

• processed data:
  • Standardised target and predictor variables, in addition to non-standardised data used for freeze-thaw state classification model_variables.csv
  • Means and standard deviations of standardised variables regression_variables_mean_std.csv
• model code:
  • final model presented in research article: model.py
  • model comparison performed as part of model development: model_comparison_predictors_and_segmentation.html
• results:
  • final model:
    • Inference trace from the pymc model inference.nc
    • Summary table of the inference trace inference_summary.csv
    • Visualisation of the inference trace inference_trace.png
  • other models:
    • non-segmented sediment rating curve: inference_SRC.nc and inference_summary_SRC.csv
    • non-segmented "pooled" model with all predictors: inference_summary_full_nonsegmented.csv
    • freeze-thaw-state-segmented sediment rating curve: inference_summary_segm_SRC.csv
    • freeze-thaw-state-segmented "unpooled" model with all predictors: inference_summary_full_unpooled.csv
  • model comparison:
    • model_comparison_waic.csv
    • model_comparison_loo.csv