Articles | Volume 21, issue 8
https://doi.org/10.5194/hess-21-3953-2017
Special issue:
https://doi.org/10.5194/hess-21-3953-2017
Opinion article
 | 
01 Aug 2017
Opinion article |  | 01 Aug 2017

HESS Opinions: The complementary merits of competing modelling philosophies in hydrology

Markus Hrachowitz and Martyn P. Clark

Related authors

Influence of irrigation on root zone storage capacity estimation
Fransje van Oorschot, Ruud J. van der Ent, Andrea Alessandri, and Markus Hrachowitz
Hydrol. Earth Syst. Sci., 28, 2313–2328, https://doi.org/10.5194/hess-28-2313-2024,https://doi.org/10.5194/hess-28-2313-2024, 2024
Short summary
Catchments do not strictly follow Budyko curves over multiple decades but deviations are minor and predictable
Muhammad Ibrahim, Miriam Coenders-Gerrits, Ruud van der Ent, and Markus Hrachowitz
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-120,https://doi.org/10.5194/hess-2024-120, 2024
Preprint under review for HESS
Short summary
Multi-decadal fluctuations in root zone storage capacity through vegetation adaptation to hydro-climatic variability has minor effects on the hydrological response in the Neckar basin, Germany
Siyuan Wang, Markus Hrachowitz, and Gerrit Schoups
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-62,https://doi.org/10.5194/hess-2024-62, 2024
Revised manuscript accepted for HESS
Short summary
Vegetation Response to Climatic Variability: Implications for Root Zone Storage and Streamflow Predictions
Nienke Tessa Tempel, Laurene Bouaziz, Riccardo Taormina, Ellis van Noppen, Jasper Stam, Eric Sprokkereef, and Markus Hrachowitz
EGUsphere, https://doi.org/10.5194/egusphere-2024-115,https://doi.org/10.5194/egusphere-2024-115, 2024
Short summary
Root zone in the Earth system
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert Savenije
EGUsphere, https://doi.org/10.5194/egusphere-2024-332,https://doi.org/10.5194/egusphere-2024-332, 2024
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Yalan Song, Wouter J. M. Knoben, Martyn P. Clark, Dapeng Feng, Kathryn Lawson, Kamlesh Sawadekar, and Chaopeng Shen
Hydrol. Earth Syst. Sci., 28, 3051–3077, https://doi.org/10.5194/hess-28-3051-2024,https://doi.org/10.5194/hess-28-3051-2024, 2024
Short summary
Assessing the impact of climate change on high return levels of peak flows in Bavaria applying the CRCM5 large ensemble
Florian Willkofer, Raul R. Wood, and Ralf Ludwig
Hydrol. Earth Syst. Sci., 28, 2969–2989, https://doi.org/10.5194/hess-28-2969-2024,https://doi.org/10.5194/hess-28-2969-2024, 2024
Short summary
Impacts of climate and land surface change on catchment evapotranspiration and runoff from 1951 to 2020 in Saxony, Germany
Maik Renner and Corina Hauffe
Hydrol. Earth Syst. Sci., 28, 2849–2869, https://doi.org/10.5194/hess-28-2849-2024,https://doi.org/10.5194/hess-28-2849-2024, 2024
Short summary
Quantifying and reducing flood forecast uncertainty by the CHUP-BMA method
Zhen Cui, Shenglian Guo, Hua Chen, Dedi Liu, Yanlai Zhou, and Chong-Yu Xu
Hydrol. Earth Syst. Sci., 28, 2809–2829, https://doi.org/10.5194/hess-28-2809-2024,https://doi.org/10.5194/hess-28-2809-2024, 2024
Short summary
Developing a tile drainage module for the Cold Regions Hydrological Model: lessons from a farm in southern Ontario, Canada
Mazda Kompanizare, Diogo Costa, Merrin L. Macrae, John W. Pomeroy, and Richard M. Petrone
Hydrol. Earth Syst. Sci., 28, 2785–2807, https://doi.org/10.5194/hess-28-2785-2024,https://doi.org/10.5194/hess-28-2785-2024, 2024
Short summary

Cited articles

Ajami, N. K., Gupta, H., Wagener, T., and Sorooshian, S.: Calibration of a semi-distributed hydrologic model for streamflow estimation along a river system, J. Hydrol., 298, 112–135, 2004.
Andersen, H. and Hepburn, B.: Scientific Method, in: The Stanford Encyclopedia of Philosophy, edited by: Zalta, E. N., Stanford, 2016.
Andréassian, V. and Perrin, C.: On the ambiguous interpretation of the Turc-Budyko nondimensional graph, Water Resour. Res., 48, W10601, https://doi.org/10.1029/2012WR012532, 2012.
Andréassian, V., Perrin, C., Berthet, L., Le Moine, N., Lerat, J., Loumagne, C., Oudin, L., Mathevet, T., Ramos, M.-H., and Valéry, A.: HESS Opinions Crash tests for a standardized evaluation of hydrological models, Hydrol. Earth Syst. Sci., 13, 1757–1764, https://doi.org/10.5194/hess-13-1757-2009, 2009.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrologic modeling and assessment part I: Model development, J. Am. Water Resour. As., 34, 73–89, 1998.
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Physically based and conceptual models in hydrology are the two endpoints in the spectrum of modelling strategies, mostly differing in their degree of detail in resolving the model domain. Given the limitations both modelling strategies face, we believe that to achieve progress in hydrological modelling, a convergence of these methods is necessary. This would allow us to exploit the respective advantages of the bottom-up and top-down models while limiting their respective uncertainties.
Special issue