Debates—The future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science
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Date
2014-06-02
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Abstract
Key Points: Discovery can be advanced by taking a perspective based in Information Theory. Much can be gained by focusing on the a priori role of Process Modeling. System Parameterization can result in information loss.
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Keywords
opinion, modeling, learning, uncertainty, systems theory, induction, hydrology
Citation
Gupta, H., Nearing, G. (2014): Debates—the future of hydrological sciences: A
(common) path forward? Using models and data to learn: A systems theoretic
perspective on the future of hydrological science. Water Resources Research, 50. DOI:
10.1002/2013WR01509