Hagelslag

Hagelslag is a modular, scalable Python library for feature- and grid-based data analysis of weather data. The primary features of general interest are modules for identifying and tracking features in gridded data and modules for calculating common meteorological verification statistics for deterministic and probabilistic forecasts.

Contents:

• Getting Started
  • Installation
  • Source
  • Quick Start
• Data Processing
  • hsdata Config Options
  • Model Output
  • Adding a New Modeling System to Hagelslag
  • Object Finding
  • Object Tracking
  • Data Extraction
• Machine Learning
  • Config Options
  • Running hsforecast
  • Machine Learning Model Specification
• Forecast Evaluation
  • Standard vs. Distributed Metrics
  • Metric Plots
  • hseval Config Options
• hagelslag
  • hagelslag package

Indices and tables

• Index

• Module Index

• Search Page