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Parameter uncertainty and interaction in complex environmental models

โœ Scribed by Spear, Robert C.; Grieb, Thomas M.; Shang, Nong

Book ID
119692386
Publisher
American Geophysical Union
Year
1994
Tongue
English
Weight
993 KB
Volume
30
Category
Article
ISSN
0043-1397

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A Bayesian methodology is developed to evaluate parameter uncertainty in catchment models fitted to a hydrologic response such as runoff, the goal being to improve the chance of successful regionalization. The catchment model is posed as a nonlinear regression model with stochastic errors possibly b