Articles | Volume 15, issue 9
https://doi.org/10.5194/hess-15-2895-2011
https://doi.org/10.5194/hess-15-2895-2011
Research article
 | 
15 Sep 2011
Research article |  | 15 Sep 2011

Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA

K. Sawicz, T. Wagener, M. Sivapalan, P. A. Troch, and G. Carrillo

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Theory development
Ratio limits of water storage and outflow in a rainfall–runoff process
Yulong Zhu, Yang Zhou, Xiaorong Xu, Changqing Meng, and Yuankun Wang
Hydrol. Earth Syst. Sci., 28, 4251–4261, https://doi.org/10.5194/hess-28-4251-2024,https://doi.org/10.5194/hess-28-4251-2024, 2024
Short summary
Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions
Daniel Klotz, Martin Gauch, Frederik Kratzert, Grey Nearing, and Jakob Zscheischler
Hydrol. Earth Syst. Sci., 28, 3665–3673, https://doi.org/10.5194/hess-28-3665-2024,https://doi.org/10.5194/hess-28-3665-2024, 2024
Short summary
Bimodal hydrographs in a semi-humid forested watershed: characteristics and occurrence conditions
Zhen Cui, Fuqiang Tian, Zilong Zhao, Zitong Xu, Yongjie Duan, Jie Wen, and Mohd Yawar Ali Khan
Hydrol. Earth Syst. Sci., 28, 3613–3632, https://doi.org/10.5194/hess-28-3613-2024,https://doi.org/10.5194/hess-28-3613-2024, 2024
Short summary
Flood drivers and trends: a case study of the Geul River catchment (the Netherlands) over the past half century
Athanasios Tsiokanos, Martine Rutten, Ruud J. van der Ent, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 28, 3327–3345, https://doi.org/10.5194/hess-28-3327-2024,https://doi.org/10.5194/hess-28-3327-2024, 2024
Short summary
Power law between the apparent drainage density and the pruning area
Soohyun Yang, Kwanghun Choi, and Kyungrock Paik
Hydrol. Earth Syst. Sci., 28, 3119–3132, https://doi.org/10.5194/hess-28-3119-2024,https://doi.org/10.5194/hess-28-3119-2024, 2024
Short summary

Cited articles

Archcar, F., Camadro, J., and Mertivier, D.: AutoClass@IJM: a powerful tool for Bayesian classification of heterogeneous data in biology, Nucleic Acids Res., 37, 1–5, https://doi.org/10.1093/nar/gkp430, 2009.
Arnold, J. G. and Allen, P. M.: Automated methods for estimating baseflow and ground water recharge from streamflow records, J. Am. Water Resour. Ass., 35(2), 411–424, 1999.
Arnold, J. G., Allen, P. M., Muttiah, R., and Bernhardt, G.: Automated base flow separation and recession analysis techniques, Ground Water, 33, 1010–1018, 1995.
Bashford, K., Beven, K., and Young, P.: Observational data and scale- dependent parameterizations: Explorations using a virtual hydrological reality, Hydrol. Process., 16, 293–312, 2002.
Beven, K. J.: Uniqueness of place and process representations in hydrological modelling, Hydrol. Earth Syst. Sci., 4, 203–213, https://doi.org/10.5194/hess-4-203-2000, 2000.