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 4: Quantile plots demonstrating the goodness-of-fit of the GEV model to flows > 99th percentile for all four rivers

Outputs: Quantile plots of the GEV model to flows > 99th percentile for all four rivers (River Dee, River Falloch, River Caldew and River Lud) 

Methodology: Stochastic modelling: percentile analysis of HMM GEV model generated discharges from 100x50 synthetic events    

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

Gauging station ID: 
River Dee: 12001; Station name: Woodend
River Falloch: 85003; Station name: Glen Falloch
River Caldew: 76009; Station name: Holm Hill
River Lud: 29003; Station name: Louth

Gauge maintained by: 
River Caldew: 76009; Station name: Holm Hill
River Lud: 29003; Station name: Louth
Environment Agency (EA), England (https://www.gov.uk/government/organisations/environment-agency)

River Dee: 12001; Station name: Woodend
River Falloch: 85003; Station name: Glen Falloch
Scottish Environment Protection Agency (http://www.sepa.org.uk/)

Output description:
River Dee, Source file for Quantile data: Figure 4_Data_Dee.txt (data in Figure 4 was derived from this HMM-GEV data set according to Eq. 4 in the paper) 
River Falloch, Source file for Quantile data: Figure 4_Data_Falloch.txt (data in Figure 4 was derived from this HMM-GEV data set according to Eq. 4 in the paper)
River Caldew, Source file for Quantile data: Figure 4_Data_Caldew.txt (data in Figure 4 was derived from this HMM-GEV data set according to Eq. 4 in the paper)
River Lud, Source file for Quantile data: Figure 4_Data_Lud.txt (data in Figure 4 was derived from this HMM-GEV data set according to Eq. 4 in the paper)