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(m): River Dee: 
Percentage error (ARMA, HMM-GEV and HMM-GP) between the mean of the synthetic sequences and the recorded values for a 
range of percentiles of discharges;the dash-dot and dotted lines indicate the ±10% and ±5% error ranges respectively

Outputs: percentage error between the mean of the synthetic sequences and the recorded values for a range of percentiles of discharges; 


Methodology: Stochastic modelling: ARMA (Box et al., 2008),HMM-GEV (Cole, 2001) and HMM-GP (Cole, 2001)


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: Range of percentiles
Column 2: Percentage error (ARMA) between the mean of the synthetic sequences and the recorded values for a range of percentiles of discharges
Column 3: Percentage error (HMM-GEV) between the mean of the synthetic sequences and the recorded values for a range of percentiles of discharges
Column 4: Percentage error (HMM-GP) between the mean of the synthetic sequences and the recorded values for a range of percentiles of discharges