Project Overview¶
PAVICS is a research platform dedicated to climate analysis and visualization. It bundles data search, analytics and visualization services. PAVICS is developed by Ouranos, CRIM and the birdhouse community and been funded by the CANARIE research software program.
To get a sense of what the platform can do, check out our JupyterLab environment.
Documentation structure¶
We plan to build extensive documentation for PAVICS. We’re just getting started, but please provide your comments on our issue tracker.
Notebooks and tutorials provides step by step instruction on how to use PAVICS. Start here to get a feeling of what can be done.
Developer Documentation explains how to install and configure the various components and run system tests.
System Architecture describes the individual components of the system and how they work together.
Processes documents all available processes on the PAVICS platform.
Contents¶
- Tutorials
- Notebooks
- Spatial and temporal subsetting
- Gridded Data Renderer
- Data Access Protocol (DAP)
- Earth System Grid Federation Data Access
- Working with the PAVICS THREDDS server
- PAVICS data access
- Working with the ClimEx Large Ensemble
- Accessing and analysing Canadian Surface Reanalysis (CaSR) data in the PAVICS JupyterLab
- Computing Indices on Weather Forecasts
- Working with the ECCC GeoAPI to access weather station data
- Working with the ECCC Climate Daily API
- Web Coverage Service - Accessing GeoMet data using owslib
- Web Feature Service - Accessing region countours saved on a GeoServer
- Working with Web Processing Service with Python and OWSLib
- Regridding climate data with xESMF
- General workflow demonstration
- Processing Large Climate Datasets with Dask and Xarray
- Deprecated Notebooks
- Optional Notebooks
- Processes
- Projects using PAVICS
- Developer Documentation
- System Architecture
- Provenance
- Support
- Release notes
- License
- TODO