Jupyter Notebook Design

[ChristinaB]

Analyze downloaded gridded climate time-series data and generate a hybrid climate product

Case study: Skagit Watershed

This data is compiled to digitally observe the Skagit Watershed, powered by HydroShare.
<img src= "http://www.sauk-suiattle.com/images/Elliott.jpg" style="float:left;width:175px;padding:20px">

Use this Jupyter Notebook to:

• Map gridded cell centroids,
• Download climate data,
  
• Make dictionaries for watershed data,
  
• Generate global bias correction factors from low elevations,
  
• Generate local (1 to 1) bias correction factors for each grid cell,
  
• Bias correct to monthly means at each grid cell.
• Bias correct to monthly means near observations (low elevations).
• Generate a hydrid climate product dictionary.
  
• Map results.
  
• Save data on HydroShare.
  
  

  A Watershed Dynamics Model by the Watershed Dynamics Research Group in the Civil and Environmental Engineering Department at the University of Washington

[ChristinaB]

• [ ] Footer

• [ ] Make template of steps

• [ ] Make sure it runs

• [ ] Work on Github versioning of Notebooks

• [ ] Add to Evolving HydroShare resource

[ChristinaB]

• [ ] Jezra - write up instruction to get directions on how to use jupyter.cuahsi.org directly without HS platform

• [ ] describe crazy file structure so it makes sense to a human

[ChristinaB]

@JBBeaulieu Here is where we should make a list of tasks related to annotation and cleaning up.

• [ ] add links to Google Map with the plot of the individual locations