Notebooks

These notebooks demonstrate a few features of the Ravenpy package when integrated into the PAVICS-Hydro service or run locally.

If you’re unfamiliar with notebooks, note that typing TAB after an object will display a drop-down menu of the object’s attributes and methods, and that you need to either press the “run” button in the top of the JupyterLab window on the PAVICS server, or “hit CTRL-Enter to run a cell. You can also type ? after a function or method to display the corresponding help message. See more details in the first Notebook below (00 - Introduction to JupyterLab).

Getting started - Tutorial

• 00 - Introduction to JupyterLab
• 01 - Getting watershed boundaries
• 02 - Extract geographical watershed properties
• 03 - Extracting forcing data
• 04 - Emulating hydrological models
• 05 - Advanced RavenPy configuration
• 06 - Calibration of a Raven hydrological model
• 07 - Making and using hostart files
• 08 - Getting and bias-correcting CMIP6 climate data
• 09 - Hydrological impacts of climate change
• 10 - Data Assimilation
• 11 - Climatological ESP forecasting
• Hindcasting with CaSPAr-Archived ECCC forecasts

Advanced workflows

• Comparing hindcasts to a climatological ensemble streamflow prediction (ESP)
• Real-time flow forecasts with ECCC weather forecasts
• Probabilistic flood risk assessment
• Distributed hydrological modelling
• Managing Jupyter Environments
• Regionalization of model parameters
• Forcing HMETS with the extended CANOPEX dataset
• Performing a sensitivity analysis
• Analyzing time series