Articles | Volume 18, issue 10
https://doi.org/10.5194/essd-18-7269-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-7269-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
05 Oct 2026
Data description article |
| 05 Oct 2026
| 05 Oct 2026
A benchmark dataset of water levels and waves for SWOT validation in the St. Lawrence Estuary and Saguenay Fjord, Quebec, Canada
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Quebec City, QC, G1J 0C3, Canada
Xavier Chartrand
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Quebec City, QC, G1J 0C3, Canada
Institut des Sciences de la Mer, Université du Québec à Rimouski, Rimouski, QC, G5L 3A1, Canada
David Purnell
Department of Civil and Water Engineering, Université Laval, Quebec City, QC, G1V 0A6, Canada
Precipice Sensors Inc., Montreal, QC, H2S 2P7, Canada
Marc Simard
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
Alexandra Christensen
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA
Francis Fortin-Legault
Canadian Hydrographic Service, Fisheries and Oceans Canada, Mont-Joli, QC, G5H 3Z4, Canada
Jonathan Morin
Canadian Hydrographic Service, Fisheries and Oceans Canada, Mont-Joli, QC, G5H 3Z4, Canada
Yann Côté-Nadeau
Canadian Hydrographic Service, Fisheries and Oceans Canada, Mont-Joli, QC, G5H 3Z4, Canada
Élaine Desrosiers
Canadian Hydrographic Service, Fisheries and Oceans Canada, Mont-Joli, QC, G5H 3Z4, Canada
Anthony Ouellet
Science Advice, Information and Support Branch, Fisheries and Oceans Canada, Mont-Joli, QC, G5H 3Z4, Canada
Cédric Chavanne
Institut des Sciences de la Mer, Université du Québec à Rimouski, Rimouski, QC, G5L 3A1, Canada
François Anctil
Department of Civil and Water Engineering, Université Laval, Quebec City, QC, G1V 0A6, Canada
Gabriela Siles
Department of Geomatics Sciences, Université Laval, Quebec City, QC, G1V 0A6, Canada
Scott Bedart
Department of Geomatics Sciences, Université Laval, Quebec City, QC, G1V 0A6, Canada
Silvia Innocenti
Numerical Modelling and Prediction Research Division, Environment and Climate Change Canada, Quebec City, QC, G1J 0C3, Canada
Mohammed Dabboor
Earth System Research and Integration Division, Environment and Climate Change Canada, Dorval, QC, H9P 1J3, Canada
Daniel L. Peters
Freshwater and Cryosphere Modelling Division, Environment and Climate Change Canada, Victoria, BC, V8N 1V8, Canada
Mélanie Trudel
Department of Civil Engineering and Building, University of Sherbrooke, Sherbrooke, QC, J1K 2R1, Canada
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Cited articles
Belzile, M., Galbraith, P. S., and Bourgault, D.: Water renewals in the Saguenay Fjord, J. Geophys. Res.-Oceans, 121, 638–657, 2016. a
Bizhanimanzar, M., Rondeau-Genesse, G., Caron, L. P., Lefaivre, D., and Mailhot, E.: Joint Occurrence of Extreme Water Level and River Flows in St. Lawrence River Coasts Under Present and Sea Level Rise Conditions, Earth's Future, 12, e2023EF004027, https://doi.org/10.1029/2023EF004027, 2024. a
Bourgault, D. and Kelley, D. E.: Wave-induced boundary mixing in a partially mixed estuary, J. Mar. Res., 61, 553–576, 2003. a
Bourgault, D. and Matte, P.: A Physically Based Method for Real-Time Monitoring of Tidal River Discharges From Water Level Observations, With an Application to the St. Lawrence River, J. Geophys. Res.-Oceans, 125, e2019JC015992, https://doi.org/10.1029/2019JC015992, 2020. a
Bourgault, D., Chavanne, C., Dumont, D., Morin, E., Galbraith, P., and Gostiaux, L.: Le point sur les marées d'équinoxes dans l'estuaire du Saint-Laurent, Nat. Can., 140, 73–84, 2016a. a
Bourgault, D., Galbraith, P. S., and Chavanne, C.: Generation of internal solitary waves by frontally forced intrusions in geophysical flows, Nat. Commun., 7, 13606, https://doi.org/10.1038/ncomms13606, 2016b. a
Bushnell, M.: Manual for Real-Time Quality Control of In-Situ Surface Wave Data: A Guide to Quality Control and Quality Assurance of In-Situ Surface Wave Observations Version 2.1., https://doi.org/10.25923/7yc5-vs69, 2019. a
Chartrand, X.: xavier-chartrand/AZMP: ESSD AZMP (Version v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.22961661, 2026a. a
Chartrand, X.: xavier-chartrand/Spotter: ESSD Spotter (Version v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.22961954, 2026b. a
D’Ovidio, F., Pascual, A., Wang, J., Doglioli, A.M., Jing, Z., Moreau, S., Grégori, G., Swart, S., Speich, S., Cyr, F., Legresy, B., Chao, Y., Fu, L., and Morrow, R. A.: Frontiers in Fine-Scale in situ Studies: Opportunities During the SWOT Fast Sampling Phase, Front. Mar. Sci., 6, 168, https://doi.org/10.3389/fmars.2019.00168, 2019. a
Durand, M., Chen, C., de Moraes Frasson, R. P., Pavelsky, T. M., Williams, B., Yang, X., and Fore, A.: How will radar layover impact SWOT measurements of water surface elevation and slope, and estimates of river discharge?, Remote Sens. Environ., 247, 111883, https://doi.org/10.1016/j.rse.2020.111883, 2020. a
Elmi, O., Tourian, M. J., Saemian, P., and Sneeuw, N.: Remote Sensing-Based Extension of GRDC Discharge Time Series-A Monthly Product with Uncertainty Estimates, Sci. Data, 11, 240, https://doi.org/10.1038/s41597-024-03078-6, 2024. a
El-Sabh, M. I., Lie, H.-J., and Koutitonsky, V. G.: Variability of the Near-Surface Residual Current in the Lower St. Lawrence Estuary, J. Geophys. Res.-Oceans, 87, 9589–9600, 1982. a
Forrester, W. D.: Internal tides in St. Lawrence estuary, J. Mar. Res., 32, 55–66, 1974. a
Fu, L.-L., Pavelsky, T., Cretaux, J.-F., Morrow, R., Farrar, J. T., Vaze, P., Sengenes, P., Vinogradova-Shiffer, N., Sylvestre-Baron, A., Picot, N., and Dibarboure, G.: The Surface Water and Ocean Topography Mission: A breakthrough in radar remote sensing of the ocean and land surface water, Geophys. Res. Lett., 51, e2023GL107652, https://doi.org/10.1029/2023GL107652, 2024. a
Godin, G.: The Propagation of Tides up Rivers with Special Considerations on the Upper Saint Lawrence River, Estuar. Coast. Shelf S., 48, 307–324, 1999. a
Haigh, I. D., Marcos, M., Talke, S. A., Woodworth, P. L., Hunter, J. R., Hague, B. S., Arns, A., Bradshaw, E., and Thompson, P.: GESLA version 3: A Major Update to the Global Higher-Frequency Sea-Level Dataset, Geosci. Data J., 10, 293–314, 2023. a
Hanson, J. L. and Phillips, O. M.: Automated analysis of ocean surface directional wave spectra, J. Atmos. Ocean. Tech., 18, 277–293, 2001. a
Hopkinson, C., Crasto, N., Marsh, P., Forbes, D., and Lesack, L.: Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR, Hydrol. Process., 25, 2995–3011, 2011. a
Hsu, S. A., Meindl, E. A., and Gilhousen, D. B.: Determining the power-law wind-profile exponent under near-neutral stability conditions at sea, J. Appl. Meteorol., 757–765, https://doi.org/10.1175/1520-0450(1994)033<0757:DTPLWP>2.0.CO;2, 1994. a
JPL D-109532, Revision A: SWOT Science Data Products User Handbook, Jet Propulsion Laboratory Internal Document, Pasadena, CA, https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/swot_mission_docs/D-109532_SWOT_UserHandbook_RevA_20250311_sig-final.pdf (last access: 26 September 2026), 2025. a, b, c
Kim, S. K., Lee, E., Park, J., and Shin, S.: Feasibility Analysis of GNSS-Reflectometry for Monitoring Coastal Hazards, Remote Sens., 13, 976, https://doi.org/10.3390/rs13050976, 2021. a
Little, S., Lewis, J. P., and Pietkiewicz, H.: Defining Estuarine Squeeze: The Loss of Upper Estuarine Transitional Zones Against In-Channel Barriers Through Saline Intrusion, Estuar. Coast. Shelf S., 278, 108107, https://doi.org/10.1016/j.ecss.2022.108107, 2022. a
Matte, P., Secretan, Y., and Morin, J.: Hydrodynamic Modeling of the St. Lawrence Fluvial Estuary. I: Model Setup, Calibration, and Validation, J. Waterw. Port C., 143, 04017010, https://doi.org/10.1061/(ASCE)WW.1943-5460.0000397, 2017a. a
Matte, P., Secretan, Y., and Morin, J.: Hydrodynamic Modeling of the St. Lawrence Fluvial Estuary. II: Reproduction of Spatial and Temporal Patterns, J. Waterw. Port C., 143, 04017011, https://doi.org/10.1061/(ASCE)WW.1943-5460.0000394, 2017b. a
Matte, P., Secretan, Y., and Morin, J.: Drivers of residual and tidal flow variability in the St. Lawrence fluvial estuary: Influence on tidal wave propagation, Cont. Shelf Res., 174, 158–173, 2019. a
Matte, P., Chartrand, X., and Purnell, D.: Benchmark dataset of water levels and waves in the St. Lawrence Estuary and Saguenay Fjord, Quebec, Canada (1.0.0), Zenodo [data set], https://doi.org/10.5281/zenodo.18225504, 2026. a, b, c
Meran, G., Siehlow, M., and von Hirschhausen: Integrated Water Resource Management: Principles and Applications, The Economics of Water: Rules and Institutions, 23–121, https://doi.org/10.1007/978-3-030-48485-9_3, 2021. a
Mertz, G. and Gratton, Y.: Topographic Waves and Topographically Induced Motions in the St. Lawrence Estuary BT – Oceanography of a Large-Scale Estuarine System: The St. Lawrence, in: Oceanography of a Large-Scale Estuarine System: The St. Lawrence, edited by: El-Sabh, M. I. and Silverberg, N., Springer New York, 94–108, ISBN 978-1-4615-7534-4, https://doi.org/10.1007/978-1-4615-7534-4_5, 1990. a
Mertz, G., El-Sabh, M. I., Proulx, D., and Condal, A. R.: Instability of a Buoyancy-Driven Coastal Jet: The Gaspé Current and its St. Lawrence Precursor, J. Geophys. Res.-Oceans, 93, 6885–6893, 1988. a
Mishra, A. K. and Coulibaly, P.: Developments in Hydrometric Network Design: A review, Rev. Geophys., 47, https://doi.org/10.1029/2007RG000243, 2009. a
Moftakhari, H. R., Jay, D. A., and Talke, S. A.: Estimating river discharge using multiple-tide gauges distributed along a channel, J. Geophys. Res.-Oceans, 121, 2078–2097, 2016. a
Mulligan, R. P., Swatridge, L., Cantelon, J. A., Kurylyk, B. L., George, E., and Houser, C.: Local and Remote Storm Surge Contributions to Total Water Levels in the Gulf of St. Lawrence During Hurricane Fiona, J. Geophys. Res.-Oceans, 128, e2023JC019910, https://doi.org/10.1029/2023JC019910, 2023. a
Nikolaidou, T., Santos, M. C., Williams, S. D. P., and Geremia-Nievinski, F.: Raytracing atmospheric delays in ground-based GNSS reflectometry, J. Geodesy, 94, 68, https://doi.org/10.1007/s00190-020-01390-8, 2020. a
Nikolaidou, T., Santos, M. C., Williams, S. D. P., and Geremia-Nievinski, F.: Development and Validation of Comprehensive Closed Formulas for Atmospheric Delay and Altimetry Correction in Ground-Based GNSS-R, IEEE T. Geosci. Remote, 61, 1–7, 2023. a
Purnell, D., Gomez, N., Chan, N. H., Strandberg, J., Holland, D. M., and Hobiger, T.: Quantifying the Uncertainty in Ground-Based GNSS-Reflectometry Sea Level Measurements, IEEE J. Sel. Top. Appl., 13, 4419–4428, 2020. a
Purnell, D. J., Gomez, N., Minarik, W., Porter, D., and Langston, G.: Precise water level measurements using low-cost GNSS antenna arrays, Earth Surf. Dynam., 9, 673–685, https://doi.org/10.5194/esurf-9-673-2021, 2021. a
Purnell, D., Dabboor, M., Matte, P., Peters, D., Anctil, F., Ghobrial, T., and Pierre, A.: Observations of River Ice Breakup Using GNSS-IR, SAR and Machine Learning, IEEE T. Geosci. Remote, 62, 1–13, https://doi.org/10.1109/TGRS.2024.3380554, 2024a. a, b, c, d
Raghukumar, K., Chang, G., Spada, F., Jones, C., Janssen, T., and Gans, A.: Performance characteristics of “Spotter”, a newly developed real-time wave measurement buoy, J. Atmos. Ocean. Tech., 36, 1127–1141, 2019. a
Ruest, B., Neumeier, U., Dumont, D., and Lambert, A.: Wave climate evaluation in the Gulf of St. Lawrence with a parametric wave model, in: Proceedings of Coastal Dynamics 2013: Coastal Dynamics Research Emphasizing Practical Applications, edited by: Bonneton, P. and Garlan, T., Arcachon, France, 24–28 June 2013, Brest, 1363–1374, 2013. a
Ruiz-Martinez, G.: Seawater density from salinity, temperature and pressure, MATLAB central file exchange, https://www.mathworks.com/matlabcentral/fileexchange/85900-seawater-density-from-salinity-temperature-and-pressure (last access: 26 September 2026), 2023. a
Salameh, E., Desroches, D., Deloffre, J., Fjørtoft, R., Mendoza, E. T., Turki, I., Froideval, L., Levaillant, R., Déchamps, S., Picot, N., Laignel, B., and Frappart, F.: Evaluating SWOT's interferometric capabilities for mapping intertidal topography, Remote Sens. Environ., 314, 114401, https://doi.org/10.1016/j.rse.2024.114401, 2024. a
Sassi, M. G., Hoitink, A. J. F., De Brye, B., Vermeulen, B., and Deleersnijder, E.: Tidal impact on the division of river discharge over distributary channels in the Mahakam Delta, Ocean Dynam., 61, 2211–2228, 2011. a
Simard, M., Chao, R., Christensen, A., Denbina, M., and Matte, P.: AirSWOT flies Cal/Val Campaign over the St. Lawrence Estuary, Airborne Science Newsletter, 4–6, https://airbornescience.nasa.gov/sites/default/files/documents/ASPnewsletter_Fall_2023_0.pdf (last access: 26 September 2026), 2023. a, b
Simons, R. D., Monismith, S. G., Saucier, F. J., Johnson, L. E., and Winkler, G.: Modelling Stratification and Baroclinic Flow in the Estuarine Transition Zone of the St. Lawrence Estuary, Atmos.-Ocean, 48, 132–146, 2010. a
Song, M., He, X., Jia, D., Xiao, R., Asgarimehr, M., Wickert, J., Wang, X., and Zhang, Z.: Sea Surface States Detection in Polar Regions Using Measurements of Ground-Based GNSS Interferometric Reflectometry, IEEE T. Geosci. Remote, 60, 1–14, 2022. a
Ward, N. D., Megonigal, J. P., Bond-Lamberty, B., Bailey, V. L., Butman, D., Canuel, E. A., Diefenderfer, H., Ganju, N. K., Goñi, M. A., Graham, E. B., Hopkinson, C. S., Khangaonkar, T., Langley, J. A., McDowell, N. G., Myers-Pigg, A. N., Neumann, R. B., Osburn, C. L., Price, R. M., Rowland, J., Sengupta, A., Simard, M., Thornton, P. E., Tzortziou, M., Vargas, R., Weisenhorn, P. B., and Windham-Myers, L.: Representing the function and sensitivity of coastal interfaces in Earth system models, Nat. Commun., 11, 2458, https://doi.org/10.1038/s41467-020-16236-2, 2020. a
Short summary
We present a new public collection of water-level and wave measurements from the St. Lawrence Estuary and Saguenay Fjord in Canada, based on the densest observation network ever deployed in the region. Collected to assess the accuracy of the Surface Water and Ocean Topography satellite, these carefully processed data will help researchers better understand floods, coastal water-level changes, and other estuarine processes as climate and sea levels change.
We present a new public collection of water-level and wave measurements from the St. Lawrence...
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