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Develop and analyze high-performing seasonal streamflow forecasts using PyForecast, developed by Reclamation's Great Plains Region. PyForecast takes advantage of multi-threading and multiple processor cores to analyze thousands of forecasts in minutes using cutting-edge statistical techniques.
- Users Manual
- Scientific Background
- Datasets
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Model Creation
- Brute Force Selection
- Parallelized Sequential Selection
- Multiple Linear Regression
- Principal Components Regression
- Z Score Regression
- General Regression Neural Network (In Development)
- Gaussian Process Regression (In Development)
- LASSO Regression (In Development)
- Data Transformations
- Data filling and interpolation
- Uncertainty and Forecast Distribution
- Hindcasting
- Forecast disaggregation
- Appendices