Investigation of marginal distribution and dependence structure of simulated streamflow by a rainfall-runoff model
- 1Department of Water Resources and Environmental Engineering, School of Civil Engineering, National Technical University of Athens, Greece (basiliskourakos@gmail.com)
- 2Department of Civil Engineering, University of Patras, Greece
Runoff simulation using hydrological models has a key role in water resources
management. Thus, there is a need to investigate how rainfall-runoff models preserve
the stochastic characteristics of real-world streamflow data. It is also useful to compare
the stochastic properties of output with those of input processes (rainfall) and internal
state variables (soil moisture), with focus on marginal distribution tails and long-term
persistence. To this aim, we perform a case study using the ENNS rainfall-runoff model
with real and synthetic rainfall time series, and for all processes we study the marginal
distributions and the dependence structures. In the analyses we use recently developed
stochastic tools such as K-moments and climacograms.
How to cite: Kourakos, V., Iliopoulou, T., Dimitriadis, P., Koutsoyiannis, D., Kaleris, V., and Langousis, A.: Investigation of marginal distribution and dependence structure of simulated streamflow by a rainfall-runoff model, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-11402, https://doi.org/10.5194/egusphere-egu2020-11402, 2020
