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Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach
Author(s) -
Gong Wei,
Gupta Hoshin V.,
Yang Dawen,
Sricharan Kumar,
Hero Alfred O.
Publication year - 2013
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/wrcr.20161
Subject(s) - uncertainty quantification , key (lock) , set (abstract data type) , uncertainty analysis , computer science , mathematics , econometrics , data mining , statistics , programming language , computer security
Key Points Methods are provided to quantify information and uncertainty in data Best achievable model performance for a given data set is estimated Model adequacy is characterized in terms of Aleatory and Epistemic Uncertainties