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

Related authors

Assessment of freshwater ecosystem services in the Beas River Basin, Himalayas region, India
Sikhululekile Ncube, Lindsay Beevers, Adebayo J. Adeloye, and Annie Visser
Proc. IAHS, 379, 67–72, https://doi.org/10.5194/piahs-379-67-2018,https://doi.org/10.5194/piahs-379-67-2018, 2018
Short summary

Related subject area

Subject: Rivers and Lakes | Techniques and Approaches: Modelling approaches
Past and future climate change effects on the thermal regime and oxygen solubility of four peri-alpine lakes
Olivia Desgué-Itier, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre Alain Danis, Isabelle Domaizon, Jean Guillard, Théo Mazure, Najwa Sharaf, Frédéric Soulignac, Viet Tran-Khac, Brigitte Vinçon-Leite, and Jean-Philippe Jenny
Hydrol. Earth Syst. Sci., 27, 837–859, https://doi.org/10.5194/hess-27-837-2023,https://doi.org/10.5194/hess-27-837-2023, 2023
Short summary
Exploring tracer information in a small stream to improve parameter identifiability and enhance the process interpretation in transient storage models
Enrico Bonanno, Günter Blöschl, and Julian Klaus
Hydrol. Earth Syst. Sci., 26, 6003–6028, https://doi.org/10.5194/hess-26-6003-2022,https://doi.org/10.5194/hess-26-6003-2022, 2022
Short summary
How do inorganic nitrogen processing pathways change quantitatively at daily, seasonal, and multiannual scales in a large agricultural stream?
Jingshui Huang, Dietrich Borchardt, and Michael Rode
Hydrol. Earth Syst. Sci., 26, 5817–5833, https://doi.org/10.5194/hess-26-5817-2022,https://doi.org/10.5194/hess-26-5817-2022, 2022
Short summary
Inertia and seasonal climate prediction as sources of skill in lake temperature, discharge and ice-off forecasting tools
François Clayer, Leah Jackson-Blake, Daniel Mercado, Muhammed Shikhani, Andrew French, Tadhg Moore, James Sample, Magnus Norling, Maria-Dolores Frías, Sixto Herrera, Elvira de Eyto, Eleanor Jennings, Karsten Rinke, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2022-312,https://doi.org/10.5194/hess-2022-312, 2022
Revised manuscript accepted for HESS
Short summary
Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network
Leah A. Jackson-Blake, François Clayer, Sigrid Haande, James E. Sample, and S. Jannicke Moe
Hydrol. Earth Syst. Sci., 26, 3103–3124, https://doi.org/10.5194/hess-26-3103-2022,https://doi.org/10.5194/hess-26-3103-2022, 2022
Short summary

Cited articles

Anderson Michael, L., Chen, Z. Q., and Kavvas, M. L.: Modeling Low Flows on the Cosumnes River, J. Hydrol. Eng., 9, 126–134, https://doi.org/10.1061/(ASCE)1084-0699(2004)9:2(126), 2004. 
Anderson, T. W.: On the Distribution of the Two-Sample Cramer-von Mises Criterion, Ann. Math. Statist., 33, 1148–1159, https://doi.org/10.1214/aoms/1177704477, 1962. 
Arthington, A. H.: Chapter 1 – River Values and Threats, in: Environmental Flows: Saving Rivers in the Third Millenium, edited by: Arthington, A., University of California Press, California, 2012. 
Arthington, A. H., Bunn, S. E., Poff, N. L., and Naiman, R. J.: The Challenge of Providing Environmental Flow Rules to Sustain River Ecosystems, Ecol. Appl., 16, 1311–1318, https://doi.org/10.1890/1051-0761(2006)016[1311:TCOPEF]2.0.CO;2, 2006. 
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.