PhD, 2019: Hydrology, University of Bristol, Bristol, United Kingdom.
MSc, 2013: Water Engineering and Management, University of Twente, Enschede, The Netherlands.
BSc, 2011: Civil Engineering and Management, University of Twente, Enschede, The Netherlands.
2023-present: Senior Research Associate, University of Calgary, Calgary, Alberta, CANADA.
2021-2023: Research Associate, University of Saskatchewan, Canmore, Alberta, CANADA.
2019-2021: Postdoctoral Fellow, University of Saskatchewan, Canmore, Alberta, CANADA.
Wouter Knoben is a Senior Research Associate at the University of Calgary. He holds a PhD in hydrology and works on understanding where, why, and under which conditions hydrological models perform well. His research includes hydroclimatic classification, model development, and comparative model evaluation, with the goal of strengthening the theoretical foundations of large-scale hydrologic predictions. He contributes to the community as an Associate Editor for Water Resources Research, and as a developer of multiple open-source modeling tools.
Gründemann, G. J., Knoben, W. J. M., Song, Y., Van Werkhoven, K., & Clark, M. P. (2026). Technical note: Benchmarking large-domain model performance under sampling uncertainty. Hydrology and Earth System Sciences, 30(11), 3439–3453. 10.5194/hess-30-3439-2026
Guo, J., Clark, M. P., Knoben, W. J. M., Keshavarz, K., Klenk, K., Van Beusekom, A., Guenter, V., & Spiteri, R. J. (2026). Implementation and Evaluation of Parallel Computing Approaches for Large‐Domain, Process‐Based Hydrologic Simulations. Journal of Advances in Modeling Earth Systems, 18(1), e2025MS005064. 10.1029/2025MS005064
Ruzzante, S. W., Knoben, W. J. M., Wagener, T., Gleeson, T., & Schnorbus, M. (2026). Technical note: High Nash–Sutcliffe Efficiencies conceal poor simulations of interannual variance in seasonal regimes. Hydrology and Earth System Sciences, 30(8), 2337–2355. 10.5194/hess-30-2337-2026
Song, Y., Sawadekar, K., Frame, J. M., Pan, M., Clark, M. P., Knoben, W. J. M., Wood, A. W., Lawson, K. E., Patel, T., & Shen, C. (2026). Physics‐Informed, Differentiable Hydrologic Models for Capturing Unseen Extreme Events. Water Resources Research, 62(2), e2025WR040414. 10.1029/2025WR040414
Thébault, C., Knoben, W. J. M., Addor, N., Newman, A. J., & Clark, M. P. (2026). Varying the Combination of Hydrological Models in Time and Space: Toward a More Accurate Representation of Streamflow in Large‐Sample Hydrology. Water Resources Research, 62(5), e2025WR042272. 10.1029/2025WR042272
Clark, M. P., Knoben, W. J. M., Spieler, D., Gründemann, G. J., Thébault, C., Vásquez, N. A., Wood, A. W., Song, Y., Shen, C., Carney, S., & Van Werkhoven, K. (2026). Comment on Williams (2025): “Friends don’t let friends use NSE or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice.” Environmental Modelling & Software, 197, 106869. 10.1016/j.envsoft.2026.10686
Knoben, W. J. M., Raman, A., Gründemann, G. J., Kumar, M., Pietroniro, A., Shen, C., Song, Y., Thébault, C., Van Werkhoven, K., Wood, A. W., & Clark, M. P. (2025). Technical note: How many models do we need to simulate hydrologic processes across large geographical domains? Hydrology and Earth System Sciences, 29(11), 2361–2375. 10.5194/hess-29-2361-2025
Knoben, W. J. M., Thébault, C., Keshavarz, K., Torres-Rojas, L., Chaney, N. W., Pietroniro, A., & Clark, M. P. (2025). Catchment Attributes and MEteorology for Large-Sample SPATially distributed analysis (CAMELS-SPAT): Streamflow observations, forcing data and geospatial data for hydrologic studies across North America. Hydrology and Earth System Sciences, 29(20), 5791–5833. 10.5194/hess-29-5791-2025
Kreibich, H., Sivapalan, M., AghaKouchak, A., Addor, N., Aksoy, H., Arheimer, B., Arnbjerg-Nielsen, K., Vail-Castro, C., Cudennec, C., Madruga De Brito, M., Di Baldassarre, G., Finger, D. C., Fowler, K., Knoben, W., Krueger, T., Liu, J., Macdonald, E., McMillan, H., Mendiondo, E. M., … Blöschl, G. (2025). Panta Rhei: A decade of progress in research on change in hydrology and society. Hydrological Sciences Journal, 70(7), 1210–1236.
Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., Clark, M. P., Liu, J., Van Werkhoven, K., Lamont, S., Denno, M., Pan, M., Yang, Y., Rapp, J., Kumar, M., Rahmani, F., Thébault, C., Adkins, R., Halgren, J., … Lawson, K. (2025). High‐Resolution National‐Scale Water Modeling Is Enhanced by Multiscale Differentiable Physics‐Informed Machine Learning. Water Resources Research, 61(4), e2024WR038928. 10.1029/2024WR038928
Tang, G., Clark, M. P., Knoben, W. J. M., Liu, H., Gharari, S., Arnal, L., Wood, A. W., Newman, A. J., Freer, J., & Papalexiou, S. M. (2025). Uncertainty Hotspots in Global Hydrologic Modeling: The Impact of Precipitation and Temperature Forcings. Bulletin of the American Meteorological Society, 106(1), E146–E166. 10.1175/BAMS-D-24-0007.1
Trim, S. J., Clark, M. P., Van Beusekom, A. E., Klenk, K., Knoben, W. J. M., & Spiteri, R. J. (2025). Enhancing the modularity and interoperability of hydrologic models: A demonstration with the Structure for Unifying Multiple Modeling Alternatives (SUMMA). Environmental Modelling & Software, 194, 106668. 10.1016/j.envsoft.2025.106668
Arnal, L., Clark, M. P., Pietroniro, A., Vionnet, V., Casson, D. R., Whitfield, P. H., Fortin, V., Wood, A. W., Knoben, W. J. M., Newton, B. W., & Walford, C. (2024). FROSTBYTE: A reproducible data-driven workflow for probabilistic seasonal streamflow forecasting in snow-fed river basins across North America. Hydrology and Earth System Sciences, 28(17), 4127–4155. https://doi.org/10.5194/hess-28-4127-2024
Knoben, W. J. M. (2024). Setting expectations for hydrologic model performance with an ensemble of simple benchmarks. Hydrological Processes, 38(10), e15288. 10.1002/hyp.15288
Knoben, W. J. M., & Clark, M. P. (2024). Comment on “The Treatment of Uncertainty in Hydrometric Observations: A Probabilistic Description of Streamflow Records” by de Oliveira and Vrugt. Water Resources Research, 60(1), e2022WR034294. 10.1029/2022WR034294
Liu, H., Clark, M. P., Gharari, S., Sheikholeslami, R., Freer, J., Knoben, W. J. M., Marsh, C. B., & Papalexiou, S. M. (2024). An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis. Water Resources Research, 60(1), e2022WR033808. 10.1029/2022WR033808
Song, Y., Knoben, W. J. M., Clark, M. P., Feng, D., Lawson, K., Sawadekar, K., & Shen, C. (2024). When ancient numerical demons meet physics-informed machine learning: Adjoint-based gradients for implicit differentiable modeling. Hydrology and Earth System Sciences, 28(13), 3051–3077. 10.5194/hess-28-3051-2024
Spiteri, R. J., Van Beusekom, A. E., Klenk, K., Zolfaghari, R., Trim, S. J., Knoben, W. J. M., Ireson, A. M., & Clark, M. P. (2024). Accurate and Efficient Numerical Simulation of Land Models Using SUMMA With SUNDIALS. Journal of Advances in Modeling Earth Systems, 16(12), e2024MS004256. 10.1029/2024MS004256
Vásquez, N. A., Mendoza, P. A., Knoben, W. J. M., Arnal, L., Lagos‐Zúñiga, M., Clark, M., & Vargas, X. (2024). The Key Role of Temporal Stratification for GCM Bias Correction in Climate Impact Assessments. Earth’s Future, 12(8), e2023EF004242. 10.1029/2023EF004242
Zaerpour, M., Hatami, S., Ballarin, A. S., Knoben, W. J. M., Papalexiou, S. M., Pietroniro, A., & Clark, M. P. (2024). Impacts of agriculture and snow dynamics on catchment water balance in the U.S. and Great Britain. Communications Earth & Environment, 5(1), 733. 10.1038/s43247-024-01891-w
Alexander, A. A., Kumar, D. N., Knoben, W. J. M., & Clark, M. P. (2023). Evaluating the parameter sensitivity and impact of hydrologic modeling decisions on flood simulations. Advances in Water Resources, 181, 104560. 10.1016/j.advwatres.2023.104560
Castronova, A. M., Nassar, A., Knoben, W., Fienen, M. N., Arnal, L., & Clark, M. (2023). Community Cloud Computing Infrastructure to Support Equitable Water Research and Education. Groundwater, 61(5), 612–616. 10.1111/gwat.13337
Gharari, S., Keshavarz, K., Knoben, W. J. M., Tang, G., & Clark, M. P. (2023). EASYMORE: A Python package to streamline the remapping of variables for Earth System models. SoftwareX, 24, 101547. 10.1016/j.softx.2023.101547
McMillan, H., Coxon, G., Araki, R., Salwey, S., Kelleher, C., Zheng, Y., Knoben, W., Gnann, S., Seibert, J., & Bolotin, L. (2023). When good signatures go bad: Applying hydrologic signatures in large sample studies. Hydrological Processes, 37(9), e14987. 10.1002/hyp.14987
Tang, G., Clark, M. P., Knoben, W. J. M., Liu, H., Gharari, S., Arnal, L., Beck, H. E., Wood, A. W., Newman, A. J., & Papalexiou, S. M. (2023). The Impact of Meteorological Forcing Uncertainty on Hydrological Modeling: A Global Analysis of Cryosphere Basins. Water Resources Research, 59(6), e2022WR033767. 10.1029/2022WR033767
Knoben, W. J. M., Clark, M. P., Bales, J., Bennett, A., Gharari, S., Marsh, C. B., Nijssen, B., Pietroniro, A., Spiteri, R. J., Tang, G., Tarboton, D. G., & Wood, A. W. (2022). Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating Model‐Agnostic and Model‐Specific Configuration Steps in Applications of Large‐Domain Hydrologic Models. Water Resources Research, 58(11), e2021WR031753. 10.1029/2021WR031753
Knoben, W. J. M., & Spieler, D. (2022). Teaching hydrological modelling: Illustrating model structure uncertainty with a ready-to-use computational exercise. Hydrology and Earth System Sciences, 26(12), 3299–3314. 10.5194/hess-26-3299-2022
Trotter, L., Knoben, W. J. M., Fowler, K. J. A., Saft, M., & Peel, M. C. (2022). Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v2.1: An object-oriented implementation of 47 established hydrological models for improved speed and readability. Geoscientific Model Development, 15(16), 6359–6369. 10.5194/gmd-15-6359-2022
Brunner, M. I., Melsen, L. A., Wood, A. W., Rakovec, O., Mizukami, N., Knoben, W. J. M., & Clark, M. P. (2021). Flood spatial coherence, triggers, and performance in hydrological simulations: Large-sample evaluation of four streamflow-calibrated models. Hydrology and Earth System Sciences, 25(1), 105–119. 10.5194/hess-25-105-2021
Clark, M. P., Vogel, R. M., Lamontagne, J. R., Mizukami, N., Knoben, W. J. M., Tang, G., Gharari, S., Freer, J. E., Whitfield, P. H., Shook, K. R., & Papalexiou, S. M. (2021). The Abuse of Popular Performance Metrics in Hydrologic Modeling. Water Resources Research, 57(9). 10.1029/2020WR029001
Clark, M. P., Zolfaghari, R., Green, K. R., Trim, S., Knoben, W. J. M., Bennett, A., Nijssen, B., Ireson, A., & Spiteri, R. J. (2021). The numerical implementation of land models: Problem formulation and laugh tests. Journal of Hydrometeorology. 10.1175/JHM-D-20-0175.1
Fowler, K. J. A., Coxon, G., Freer, J. E., Knoben, W. J. M., Peel, M. C., Wagener, T., Western, A. W., Woods, R. A., & Zhang, L. (2021). Towards more realistic runoff projections by removing limits on simulated soil moisture deficit. Journal of Hydrology, 600, 126505. 10.1016/j.jhydrol.2021.126505
Jansen, K. F., Teuling, A. J., Craig, J. R., Dal Molin, M., Knoben, W. J. M., Parajka, J., Vis, M., & Melsen, L. A. (2021). Mimicry of a Conceptual Hydrological Model (HBV): What’s in a Name? Water Resources Research, 57(5). 10.1029/2020WR029143
Stein, L., Clark, M. P., Knoben, W. J. M., Pianosi, F., & Woods, R. A. (2021). How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large‐Sample Study for 671 Catchments Across the Contiguous USA. Water Resources Research, 57(4). 10.1029/2020WR028300
Fowler, K., Knoben, W., Peel, M., Peterson, T., Ryu, D., Saft, M., Seo, K., & Western, A. (2020). Many commonly used rainfall‐runoff models lack long, slow dynamics: Implications for runoff projections. Water Resources Research. 10.1029/2019WR025286
Gharari, S., Clark, M. P., Mizukami, N., Knoben, W. J. M., Wong, J. S., & Pietroniro, A. (2020). Flexible vector-based spatial configurations in land models. Hydrology and Earth System Sciences, 24(12), 5953–5971. 10.5194/hess-24-5953-2020
Knoben, W. J. M., Freer, J. E., Peel, M. C., Fowler, K. J. A., & Woods, R. A. (2020). A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments. Water Resources Research, 56(9). 10.1029/2019WR025975
Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., … Zhang, Y. (2019). Twenty-three unsolved problems in hydrology (UPH)–a community perspective. Hydrological Sciences Journal, 64(10), 1141–1158. 10.1080/02626667.2019.1620507
Coxon, G., Freer, J., Lane, R., Dunne, T., Knoben, W. J. M., Howden, N. J. K., Quinn, N., Wagener, T., & Woods, R. (2019). DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology. Geoscientific Model Development, 12(6), 2285–2306. 10.5194/gmd-12-2285-2019
Knoben, W. J. M., Freer, J. E., Fowler, K. J. A., Peel, M. C., & Woods, R. A. (2019). Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.2: An open- source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations. Geoscientific Model Development, 12, 2463–2480. 10.5194/gmd-2018-332
Knoben, W. J. M., Freer, J. E., & Woods, R. A. (2019). Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores. Hydrology and Earth System Sciences, 23(10), 4323–4331. 10.5194/hess-23-4323-2019
Knoben, W. J. M., Woods, R. A., & Freer, J. E. (2019). Global bimodal precipitation seasonality: A systematic overview. International Journal of Climatology, 39(1), 558–567. 10.1002/joc.5786
Popp, A. L., Lutz, S. R., Khatami, S., van Emmerik, T. H. M., & Knoben, W. J. M. (2019). A Global Survey on the Perceptions and Impacts of Gender Inequality in the Earth and Space Sciences. Earth and Space Science, 6(8), 1460–1468. 10.1029/2019EA000706
Knoben, W. J. M., Woods, R. A., & Freer, J. E. (2018). A Quantitative Hydrological Climate Classification Evaluated with Independent Streamflow Data. Water Resources Research, 54(7), 5088–5109. 10.1029/2018WR022913
Knoben W. J. M., Woods R. A., Freer J. E., 2018: Climate data from paper “A Quantitative Hydrological Climate Classification Evaluated with Independent Streamflow Data”. doi: 10.5523/bris.16ctquxqxk46h2v61gz7drcdz3
Knoben W. J. M., Woods R. A., Freer J. E., 2018: Data from paper “Global bimodal precipitation seasonality: A systematic overview”. doi: 10.5523/bris.2ynd0zj7oqd1t24t6vhhh83exn
Knoben W. J. M., 2019: Code - Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.2. doi: 10.5281/zenodo.3235664
About CAPE: We bring together observations, models, and data science to improve understanding and prediction of hydrological processes across scales from hillslopes to continents.
Land and Water Acknowledgement: We respectfully acknowledge that we live and work on Treaty 7 Territory and the Homeland of the Métis, Tsuut'ina, Stoney, and Blackfoot. We thank these nations for their care and stewardship over this land and water, and we pay respect to the ancestors of these places.