Welcome to sci-wms

sci-wms is an open-source Python implementation of a WMS (Web Mapping Service) server designed for oceanographic, atmospheric, climate and weather data. It achieves real-time, on-demand visualization of internal (file access) and externally hosted (DAP) CF-compliant data.

• Installation
  • System Requirements
  • Docker
  • Source
• Deployment
  • Docker (RECOMMENDED)
  • Quick Start (DEVELOPMENT ONLY)
  • From Source (NOT RECOMMENDED)
• Advanced Usage
  • Virtual layers
  • Custom Django Settings
  • Topology Cache
  • Default Layer Settings
  • WMS Extensions
• Roadmap
• Changelog

Background

• No tools for comparing multiple unstructured models out of the box
• Existing WMS technologies (ncWMS and GeoServer) don’t support unstructured meshes in a format the preserves topology
• Vast amount of large collections of met-ocean data available over OpenDAP

Features

• Visualize grids adhering to CF-UGRID or CF-SGRID conventions
• Abstracts each dataset into two objects: a topology and corresponding model data
• Topologies are stored locally for quick and efficient spatial queries (RTree indexes for each grid)
• External data (over DAP) is subset, downloaded, and rendered for each request
• Supports arbitrary cartographic projections
• Web-based management console for managing datasets and variables
• Lightweight client for testing

Authors

Code author: Alex Crosby <https://github.com/acrosby>

Code author: Brandon Mayer <https://github.com/brandonmayer>

Code author: Brian McKenna <https://github.com/brianmckenna>

Code author: Dave Foster <https://github.com/daf>

Code author: Kyle Wilcox <https://github.com/kwilcox>

Code author: Andrew Yan <https://github.com/ayan-usgs>