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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