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Information Theory for Model Diagnostics: Structural Error is Indicated by Trade-Off Between Functional and Predictive Performance
Benjamin L. Ruddell
, Darren T. Drewry
, Grey S. Nearing
Informatics, Computing, and Cyber Systems, School of
Research output
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Contribution to journal
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Article
›
peer-review
45
Scopus citations
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Dive into the research topics of 'Information Theory for Model Diagnostics: Structural Error is Indicated by Trade-Off Between Functional and Predictive Performance'. Together they form a unique fingerprint.
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Keyphrases
AmeriFlux
20%
Complex System Model
20%
Concept Base
20%
Ecohydrology
40%
Emergent Properties
20%
Functional Error
20%
Functional Performance
100%
Information Theory
100%
Leveling Errors
20%
Model Adequacy
20%
Model Diagnostics
100%
Model Prediction
20%
Parameter Variation
20%
Pareto
20%
Performance Prediction
100%
Predictive Error
20%
Process Error
20%
Process Level
20%
Process-based
20%
Real System
20%
Reliable Indicator
20%
Right Reason
20%
Scientific Learning
20%
Sensible Heat Flux
20%
Sensitivity Analysis
20%
Solar Radiation
20%
Structural Error
100%
Engineering
Adequate Model
33%
Functional Performance
100%
Heat Flux
33%
Model Prediction
33%
Model System
66%
Parameter Variation
33%
Real System
33%
Sensible Heat
33%
Solar Radiation
33%
Chemical Engineering
Heat Flux
100%