Complex systems science: a framework for understanding Earth system models
Abstract
Complex systems science (CSS) studies how large, interacting systems of small entities self-organize and evolve to exhibit global structures that may not be understood or predicted based on constituent processes. CSS provides a formalism and a set of mathematical tools for quantifying structure and behaviors including emergent constraints, tipping points, and resiliency. Earth system models (ESMs) are interacting, highly-complex coupled models of Earth's atmosphere, oceans, biosphere, cryosphere, etc. If there ever was an example of a complex system, an ESM fits the bill. In this talk, we will provide a high-level overview of complex systems science, and how tools developed therein might be useful in understanding the behavior of ESMs and the spread of their predictions.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFMGC33C..01B
- Keywords:
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- 3337 Global climate models;
- ATMOSPHERIC PROCESSES;
- 0555 Neural networks;
- fuzzy logic;
- machine learning;
- COMPUTATIONAL GEOPHYSICS;
- 1622 Earth system modeling;
- GLOBAL CHANGE;
- 1640 Remote sensing;
- GLOBAL CHANGE