TY - JOUR
T1 - Bayesian generation of synthetic streamflows
T2 - 2. The multivariate case
AU - Valdés, Juan B.
AU - Rodríguez‐Iturbe, Ignacio
AU - Vicens, Guillermo J.
PY - 1977/4
Y1 - 1977/4
N2 - A Bayesian framework for the synthetic generation of annual Streamflows from a multivariate first‐ order autoregressive model is presented. This framework allows the user to include directly the effects of the parameter uncertainties in the evaluation of proposed projects through simulation with the synthetically generated records. The model produces synthetic traces with higher variances than those in the historical records when the records are too short to estimate reliably the ‘time’ values of the parameters of the process. This multivariate model is a natural extension of the model presented by Vicens et al. (1975).
AB - A Bayesian framework for the synthetic generation of annual Streamflows from a multivariate first‐ order autoregressive model is presented. This framework allows the user to include directly the effects of the parameter uncertainties in the evaluation of proposed projects through simulation with the synthetically generated records. The model produces synthetic traces with higher variances than those in the historical records when the records are too short to estimate reliably the ‘time’ values of the parameters of the process. This multivariate model is a natural extension of the model presented by Vicens et al. (1975).
UR - http://www.scopus.com/inward/record.url?scp=0001368627&partnerID=8YFLogxK
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U2 - 10.1029/WR013i002p00291
DO - 10.1029/WR013i002p00291
M3 - Article
AN - SCOPUS:0001368627
SN - 0043-1397
VL - 13
SP - 291
EP - 295
JO - Water Resources Research
JF - Water Resources Research
IS - 2
ER -