Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structure–function coupling

Journal Article · · Chaos: An Interdisciplinary Journal of Nonlinear Science
DOI:https://doi.org/10.1063/5.0131469· OSTI ID:2282167
 [1];  [2]
  1. University of Illinois at Urbana-Champaign, IL (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); University of Illinois at Urbana - Champaign
  2. University of Illinois at Urbana-Champaign, IL (United States)
+ Show Author Affiliations
At the biosphere–atmosphere interface, nonlinear interdependencies among components of an ecohydrological complex system can be inferred using multivariate high frequency time series observations. Information flow among these interacting variables allows us to represent the causal dependencies in the form of a directed acyclic graph (DAG). Here, we use high frequency multivariate data at 10 Hz from an eddy covariance instrument located at 25 m above agricultural land in the Midwestern US to quantify the evolutionary dynamics of this complex system using a sequence of DAGs by examining the structural dependency of information flow and the associated functional response. We investigate whether functional differences correspond to structural differences or if there are no functional variations despite the structural differences. We base our analysis on the hypothesis that causal dependencies are instigated through information flow, and the resulting interactions sustain the dynamics and its functionality. To test our hypothesis, we build upon causal structure analysis in the companion paper to characterize the information flow in similarly clustered DAGs from 3-min non-overlapping contiguous windows in the observational data. We characterize functionality as the nature of interactions as discerned through redundant, unique, and synergistic components of information flow. Through this analysis, we find that in turbulence at the biosphere–atmosphere interface, the variables that control the dynamic character of the atmosphere as well as the thermodynamics are driven by non-local conditions, while the scalar transport associated with CO and H2O is mainly driven by short-term local conditions.
Research Organization:
University of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Advanced Research Projects Agency - Energy (ARPA-E)
Grant/Contract Number:
AR0001225
OSTI ID:
2282167
Journal Information:
Chaos: An Interdisciplinary Journal of Nonlinear Science, Journal Name: Chaos: An Interdisciplinary Journal of Nonlinear Science Journal Issue: 7 Vol. 33; ISSN 1054-1500
Publisher:
American Institute of Physics (AIP)Copyright Statement
Country of Publication:
United States
Language:
English

References (21)

Temporal Information Partitioning Networks (TIPNets): A process network approach to infer ecohydrologic shifts: INFORMATION PARTITIONING NETWORKS journal July 2017
Independence properties of directed markov fields journal August 1990
Causality of energy-containing eddies in wall turbulence journal November 2019
The Ejection-Sweep Character of Scalar Fluxes in the Unstable Surface Layer journal April 1997
An Evaluation of Kolmogorov's −5/3 Power Law Observed Within the Turbulent Airflow Above the Ocean journal December 2019
Debates—Does Information Theory Provide a New Paradigm for Earth Science? Causality, Interaction, and Feedback journal February 2020
Using Information Flow for Whole System Understanding From Component Dynamics journal November 2019
Identifying causal gateways and mediators in complex spatio-temporal systems journal October 2015
Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structural behavior journal August 2023
Universal fractal scaling in stream chemistry and its implications for solute transport and water quality trend detection journal July 2013
Granger causality in wall-bounded turbulence journal April 2014
Eclipse-induced wind changes over the British Isles on the 20 March 2015
  • Gray, S. L.; Harrison, R. G.
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 374, Issue 2077 https://doi.org/10.1098/rsta.2015.0224
journal September 2016
Quantifying causal coupling strength: A lag-specific measure for multivariate time series related to transfer entropy journal December 2012
Information content of turbulence journal November 2013
Quantifying information transfer and mediation along causal pathways in complex systems journal December 2015
Interactions of information transfer along separable causal paths journal April 2018
Information transfer from causal history in complex system dynamics journal January 2019
Escaping the Curse of Dimensionality in Estimating Multivariate Transfer Entropy journal June 2012
A general mechanical model for |f|αspectral density random noise with special reference to flicker noise 1/|f| journal January 1968
Micrometeorological measurements during the total solar eclipse of August 11, 1999 [Micrometeorological measurements during the total solar eclipse of August 11, 1999] journal May 2001
Quantifying the Strength and Delay of Climatic Interactions: The Ambiguities of Cross Correlation and a Novel Measure Based on Graphical Models journal January 2014

Similar Records

Causal interaction in high frequency turbulence at the biosphere–atmosphere interface: Structural behavior
Journal Article · Sun Aug 13 20:00:00 EDT 2023 · Chaos: An Interdisciplinary Journal of Nonlinear Science · OSTI ID:2282161
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series
Conference · Mon Apr 25 00:00:00 EDT 2022 · OSTI ID:1866734

Related Subjects

58 GEOSCIENCES
Complex systems theory
Ecohydrology
Turbulent flows