Information Theory for Model Diagnostics: Structural Error is Indicated by Trade‐Off Between Functional and Predictive Performance-Reference-Cited by-同舟云学术

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Information Theory for Model Diagnostics: Structural Error is Indicated by Trade‐Off Between Functional and Predictive Performance

Published:2019-08 Issue:8 Volume:55 Page:6534-6554
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Ruddell Benjamin L.¹^ORCID,Drewry Darren T.²³,Nearing Grey S.³⁴^ORCID

Affiliation:

1. School of Informatics Computing and Cyber Systems Northern Arizona University Flagstaff AZ USA

2. NASA Jet Propulsion Laboratory Pasadena CA USA

3. Department of Food, Agricultural and Biological Engineering Ohio State University Columbus OH USA

4. Department of Geological Sciences University of Alabama Tuscaloosa AL USA

Funder

Jet Propulsion Laboratory

National Aeronautics and Space Administration

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018WR023692

Reference91 articles.

1. Pareto archived dynamically dimensioned search with hypervolume-based selection for multi-objective optimization

2. A top-down framework for watershed model evaluation and selection under uncertainty

3. A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions

4. The Plumbing of Land Surface Models: Benchmarking Model Performance

5. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology

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