One should never leave the safety of indoors during a lightning storm. This web-based project uses Augmented Reality methods to let users explore hazardous thunderstorms in the Washington, DC metro area without ever leaving the safety and comfort of home. It uses a Python fork of the MINDEngine geoinformatics framework to create custom views of Lightning Mapping Array data on demand in real time so users can see the lightning developing all around them.
The true power of the Weather Archive is the server-side software that manages and displays the requested imagery. It is a highly-efficient geoinformatics engine built to take advantage of geoscience standards and convecntions. It is light enough to run on a Raspberry Pi 2, yet powerful enough to let the user decide exactly what plots they wish to create. This software consists of two components: The Module for Interacting with Numerical Data (MIND) Engine An AJAX-compliant data visualization routine that runs on a standard LAMP stack.   The Neuron Data Management System A daemon that runs...
An application of the geoinformatics framework that powers the Weather Archive to visualize simulated geospatial environmental data on Mars. This Weather Archive project was a finalist in the 2015 National Science Foundation (NSF) visualization challenge.
A simple demonstration of how the Weather Archive uses WebGL plugins to map geospatial data on a sphere, this project displays composite visible imagery of all the major bodies in our solar system.  
This prototype is a demonstration of the capabilities of the geoinformatics engine that powers the Weather Archive that was created at the request of an NCAR scientist for a World Bank project.