Ruddell, Benjamin L.Brunsell, Nathaniel A.Stoy, Paul C.2018-10-222018-10-222013-01-29Ruddell, Benjamin L., Nathaniel A. Brunsell, and Paul Stoy. "Applying information theory in the geosciences to quantify process uncertainty, feedback, scale." Eos, Transactions American Geophysical Union 94, no. 5 (2013): 56-56.0096-3941https://scholarworks.montana.edu/handle/1/14936The 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.enThis Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).http://rightsstatements.org/vocab/InC/1.0/Applying information theory in the geosciences to quantify process uncertainty, feedback, scaleArticle