Open AccessApplying Information Theory in the Geosciences to Quantify Process Uncertainty, Feedback, Scale
Author(s) -
Ruddell Benjamin L.,
Brunsell Nathaniel A.,
Stoy Paul
Publication year - 2013
Publication title -
eos, transactions american geophysical union
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 86
eISSN - 2324-9250
pISSN - 0096-3941
DOI - 10.1002/2013eo050007
Subject(s) - earth system science , computer science , temporal scales , scale (ratio) , process (computing) , earth science , data science , environmental science , environmental resource management , remote sensing , systems engineering , ecology , geography , engineering , geology , cartography , operating system , biology
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.