The Deep Carbon Observatory has a number of exciting projects that are helping scientists model and visualize deep to surface Earth processes and back again. Such modern computational tools are making it possible to understand and visualize aspects of how Earth works in ways that were unimaginable only a few years ago.
The latest modeling and visualization techniques are available for use by all DCO Science Network members, and are but a click away.
Featured Projects
Deep Carbon scientists pondered, debated, and arrived at a consensus regarding the most important carbon-related reactions on Earth, providing a new and integrative way to explain and advance deep carbon science.
The EarthByte group, based at the University of Sydney, Australia, has created a virtual plate tectonic deep carbon laboratory, revolutionizing scientists' ability to understand mantle-crust-atmosphere interactions in deep time. The group is consciously designing tools that can be applied and used by their peers in DCO-inspired research.
This app developed by Smithsonian Institution shows intimate ties between volcanoes and earthquakes and gives open access to 50+ years of data on quakes, eruptions, and related emissions.
This ambitious project will result in the first integrated thermodynamic model of the magma-fluid system, making it possible to predict how carbon moves between solid, liquid, and fluid phases in response to temperature and pressure inside Earth.
The Modeling and Visualization Forum is helping DCO scientists transform their data into virtual reality, making it possible to visualize, manipulate, share and look at data in new ways.
Additional Projects
Deep Earth Water Community
A group of scientists have formed the Deep Earth Water Community to explore how fluids have linked the deep Earth and the near surface environment through deep time. The online community strives to integrate predictive theoretical models with experimental data, field studies, and remote observation of the deep Earth and offers many downloadable analytical tools and materials for advancing this vision.
ENKI
ENabling Knowledge Integration (ENKI) is a collaborative, web-based model-configuration and testing portal that provides tools in computational thermodynamics and fluid dynamics. Data Science Team Leader Peter Fox in collaboration with Mark Ghiorso (OFM Research) are advancing the work of this project launched in fall 2016 with support from the National Science Foundation. To learn more about ENKI, watch this webinar.
Videos
Further Reading
