Articles | Volume 23, issue 8
https://doi.org/10.5194/hess-23-3279-2019
https://doi.org/10.5194/hess-23-3279-2019
Research article
 | 
09 Aug 2019
Research article |  | 09 Aug 2019

Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization

Annie Visser-Quinn, Lindsay Beevers, and Sandhya Patidar

Data sets

MIDAS: UK Daily Rainfall Data Met Office http://catalogue.ceda.ac.uk/uuid/c732716511d3442f05cdeccbe99b8f90

MIDAS: UK Hourly Weather Observation Data Met Office http://catalogue.ceda.ac.uk/uuid/916ac4bbc46f7685ae9a5e10451bae7c

National Hydrological Monitoring Programme NRFA (National River Flow Association) https://nrfa.ceh.ac.uk/nhmp

Download
Short summary
The ecological impact of changes in river flow may be explored through the simulation of ecologically relevant flow indicators. Traditional approaches to model parameterization are not well-suited for this. To this end, this paper considers the ability of a modified covariance approach, applied to five hydrologically diverse catchments. An overall improvement in consistency is observed, whilst timing and rate of change represent the best and worst replicated indicators respectively.