Applying Information Theory in the Geosciences to Quantify Process Uncertainty, Feedback, Scale
Article first published online: 29 JAN 2013
©2013. American Geophysical Union. All Rights Reserved.
Eos, Transactions American Geophysical Union
Volume 94, Issue 5, page 56, 29 January 2013
How to Cite
2013), Applying Information Theory in the Geosciences to Quantify Process Uncertainty, Feedback, Scale, Eos Trans. AGU, 94(5), 56., , and (
- Issue published online: 29 JAN 2013
- Article first published online: 29 JAN 2013
- National Science Foundation. Grant Number: DBI #1021095
- NASA. Grant Number: ESS #NNX06AF71H
- Shannon entropy;
- information theory;
- Earth observatories
The geosciences are increasingly utilizing a systems approach to quantify spatial and temporal dynamics among multiple subsystems, their couplings, and their feedbacks. This systems approach demands novel strategies for experimentation and observation in the “natural laboratory” rather than in simple controlled experiments and thus relies heavily on Earth system observations and observation networks. Current and forthcoming examples of Earth system observatories include the Critical Zone Observatories (CZOs), the National Ecological Observatory Network (NEON), EarthScope, FLUXNET, National Water Information System/National Water-Quality Assessment (NWIS/NAWQA), and others. These networks are designed to observe complex processes across a wide range of temporal and spatial scales to synthesize scientific understanding of the fundamental interactions across the interfaces of society, hydrology, ecology, atmospheric sciences, and geosciences.