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 | Zendy

Gupta Hoshin V. | Zendy; Nearing Grey S. | Zendy

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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

Author(s) -

Gupta Hoshin V.,

Nearing Grey S.

Publication year - 2014

Publication title -

water resources research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.863

H-Index - 217

eISSN - 1944-7973

pISSN - 0043-1397

DOI - 10.1002/2013wr015096

Subject(s) - perspective (graphical) , a priori and a posteriori , key (lock) , process (computing) , computer science , path (computing) , systems science , management science , data science , artificial intelligence , engineering , epistemology , philosophy , computer security , programming language , operating system

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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