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 2: Comparison of the normalised and log-transformed flow records for the four study catchments

Outputs: probability densities of recorded discharges (Q) for the four study catchments 

Methodology: Stochastic analysis: probability densities of recorded flows   


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:
Column 1: Log (Qnorm)
Column 2: Probability density of River Dee 
Column 3: Probability density of River Falloch
Column 4: Probability density of River Caldew
Column 5: Probability density of River Lud