Publication name: Stochastic simulation of daily streamflow sequences using a hidden Markov model
Authors names: Douglas Pender, Sandhya Patidar, Gareth Pender and Heather Haynes

Journal Name: Hydrology Research
Date of Acceptance and Publication: April, 2015; May 2015  

Figure 6(a): Probability density (ARMA) of observed discharges and range of synthetic sequences of River Dee 

Outputs: Probability density (ARMA) of observed discharge and range of synthetic sequences 

Methodology: Stochastic modelling by autoregressive-moving-average (ARMA) model 
(Box et al., 2008) and Eq. 2 in the paper  


Input data/source: Observed daily discharge (Q) from following gauging station:

Gauging station ID: 
River Dee: 12001; Station name: Woodend

Gauge maintained by: 
Scottish Environment Protection Agency (http://www.sepa.org.uk/)

Output description:
Column 1: Logarithm (10-base) of daily discharge in m3/s
Column 2: Probability density (ARMA) of daily recorded discharge of River Dee
Column 3 to 102: Probability density (ARMA) of synthetic discharges of 100 sequences