Bayesian inference of uncertainties in precipitation-streamflow modeling in a snow affected catchment
Bayesian inference is used to study the effect of precipitation and model structural uncertainty on estimates of model parameters and confidence limits of predictive variables in a conceptual rainfall-runoff model in the snow-fed Rudbck catchment (142 ha) in southern Finland. The IHACRES model is coupled with a simple degree day model to account for snow accumulation and melt. The posterior probability distribution of the model parameters is sampled by using the Differential Evolution Adaptive...[Show more]
|Collections||ANU Research Publications|
|Source:||Water Resources Research|
|01_Koskela_Bayesian_inference_of_2012.pdf||1.43 MB||Adobe PDF|
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