Looking to publish? Check out the opportunities below

OPEN:

Integrated Modeling of Cities to Improve Natural Hazards Resilience
submission deadline April 20, 2023
(Resilient Cities and Structures)

Development of Watershed Hydrological/Water Environmental Models and Application of Advanced Technology
submission deadline April 30, 2023
(Journal of Hydrology)

Indigenous and Local Perspectives in Citizen Science and Participatory Modelling of Socio-Ecological Systems: Approaches and Tools
submission deadline May 31, 2023
(SESMO/ Socio-Environmental Systems Modelling)

Resources and Environmental Sustainability
submission deadline July 29, 2023
(Results in Engineering)

Socio-Environmental Systems Modelling in Regulatory Contexts
submission deadline August 1, 2023
(SESMO/ Socio-Environmental Systems Modelling)

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PASSED:

Lake water quality monitoring and modeling
submission deadline February 28, 2023
(Journal of Hydrology: Regional Studies)

Books, Book Chapters, Edited volume(s)

Jardine, T., Maccoll, I., McKay-Carriere, L., Steelman, T., Massie, M., Reed, M.G., Abu, R., Strickert, G., Carriere, R., Carriere, S., 2023. Healthy Delta, Healthy People: The past, present and future of the Saskatchewan River Delta. In Wantzen, K.M. (ed) River Cultures: Life as a Dance to the Rhythm of the Water. Paris: UNESCO and the Wuhan Museum of Great River Civilisations. 397. DOI 10.54677/FJXJ5653

Papers

Abdelhamed, M. S., Elshamy, M. E., Razavi, S., & Howard, S. (2023). Challenges in hydrologic-land surface modelling of permafrost signatures-Impacts of parameterization on model fidelity under the uncertainty of forcing. Journal of Advances in Modeling Earth Systems Preprint, https://doi.org/10.1029/2022MS003013

Glowa, S. E., Kneale, A. J., Watkinson, D. A., Ghamry, H. K., Enders, E. C., & Jardine, T. D. (2023). Applying a 2D‐Hydrodynamic Model to Estimate Fish Stranding Risk Downstream from a Hydropeaking Hydroelectric Station. Ecohydrology, e2530. https://doi.org/10.1002/eco.2530

Elrashidy, M. T., Ireson, A., and Razavi, S.: On the optimal level of complexity for the representation of wetland systems in land surface models, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2023-68  in review, 2023

Papers
Abdelhamed, M. S., Elshamy, M. E., Wheater, H. S., & Razavi, S. (2022). Hydrologic‐land surface modelling of the Canadian sporadic‐discontinuous permafrost: initialization and uncertainty propagation. Hydrological Processes, 36(3), 1–22, https://doi.org/10.1002/hyp.14509

Abdelhamed, M. S., Elshamy, M. E., Razavi, S., & Howard, S. (2022). Challenges in hydrologic - land surface modelling of permafrost signatures – Impacts of parameterization on model fidelity under the uncertainty of forcing. Earth and Space Science Open Archive, January 27, 2022, under review, https://doi.org/doi.org/10.1002/essoar.10510317.1

Das, A., Budhathoki, S., & Lindenschmidt, K. E. (2022). A stochastic modelling approach to forecast real-time ice jam flood severity along the transborder (New Brunswick/Maine) Saint John River of North America. Stochastic Environmental Research and Risk Assessment, 1-13. https://doi.org/10.1007/s00477-022-02234-x

Eamen, L., Brouwer, R., Razavi, S. (2022). Comparing the applicability of hydro-economic modelling approaches in large-scale decision-making for multi-sectoral and multi-regional river basins. Environmental Modelling & Software, 152: 105385. https://doi.org/10.1016/j.envsoft.2022.105385

Garcia, J., Brouwer, R., Pinto, R. (2022). Estimating the total economic costs of nutrient emission reduction policies to halt eutrophication in the Great Lakes. Water Resources Research, 58(4): e2021WR030772. https://doi.org/10.1029/2021WR030772

Jackson, S., Anderson, E.P., Piland, N.C., Carriere, S., Java, L., and Jardine, T.D. (2022). River rhythmicity: A conceptual means of understanding and leveraging the relational values of rivers. People and Nature. https://doi.org/10.1002/pan3.10335

Kim, S. J., Asadzadeh, M.; Stadnyk, T. A. (2022). Climate change impact on water supply and hydropower generation potential in Northern Manitoba. Journal of Hydrology: Regional Studies https://doi.org/https://doi.org/10.1016/j.ejrh.2022.101077

Kreibich, H., Van Loon, A. F., Schröter, K., Ward, P. J., Mazzoleni, M., Sairam, N., …* and Di Baldassarre, G. (2022). The challenge of unprecedented floods and droughts in risk management. Nature, 608(7921), 80-86. https://doi.org/10.1038/s41586-022-04917-5
…* includes Saman Razavi, Laila Balkhi, and Hayley Carlson of IMPC

Lindenschmidt, K.-E, Sabokruhie, P, Rosner, T. (2022) Modelling Transverse Mixing of Sediment and Vanadium in a River Impacted by Oil Sands Mining Operations. Journal of Hydrology: Regional Studies, Volume 40, https://doi.org/10.1016/j.ejrh.2022.101043

Mai, J., Shen, H., Tolson, B. A., Gaborit, É., Arsenault, R., Craig, J. R., Fortin, V., Fry, L. M., Gauch, M., Klotz, D., Kratzert, F., O'Brien, N., Princz, D. G., Rasiya Koya, S., Roy, T., Seglenieks, F., Shrestha, N. K., Temgoua, A. G. T., Vionnet, V., and Waddell, J. W. (2022) The Great Lakes Runoff Intercomparison Project Phase 4: The Great Lakes (GRIP-GL), Hydrology and Earth System Sciences, 26(13), 3537-3572. https://doi.org/10.5194/hess-26-3537-2022

Pradhananga, D.* and Pomeroy, J.W. (2022) Diagnosing changes in glacier hydrology from physical principles using a hydrological model with snow redistribution, sublimation, firnification and energy balance ablation algorithms, Journal of Hydrology, 608, 127545, DOI: 10.1016/j.jhydrol.2022.127545

Rasouli, K., Pomeroy, J.W. and Whitfield, P.H. (2022) The sensitivity of snow hydrology to changes in air temperature and precipitation in three North American headwater basins, Journal of Hydrology, 606, 127460, DOI: 10.1016/j.jhydrol.2022.127460

Rokaya, P., Lindenschmidt, K. E., Pietroniro, A., & Clark, M. (2022). Modelling of ice jam floods under past and future climates: a review. Journal of Hydrology X, 100120. https://doi.org/10.1016/j.hydroa.2022.100120

Shen, H., B. A. Tolson and J. Mai (2022). Time to Update the Split-Sample Approach in Hydrological Model Calibration, Water Resources Research, 58, doi.org/10.1029/2021WR031523. (see publication for links to data).

Wheater, H. S., Pomeroy, J. W., Pietroniro, A., Davison, B., Elshamy, M., Yassin, F., Rokaya, P., Fayad, A., Tesemma, Z., Princz, D., Loukili, Y., DeBeer, C. M., Ireson, A. M., Razavi, S., Lindenschmidt, K.-E., Elshorbagy, A., MacDonald, M., Abdelhamed, M. S., Haghnegahdar, A., & Bahrami, A. (2022). Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire ‐ Surface and Hydrology ( MESH ), the Canadian hydrological land surface scheme. Hydrological Processes, 36(4), 1–24. https://doi.org/10.1002/hyp.14557

Zhang, Z., Chen, F., Barlage, M., Bortolotti, L. E., Famiglietti, J., Li., Ma, X., Li, Y., (2022): Cooling Effects Revealed by Modeling of Wetlands and Land-Atmosphere Interactions, Water Resources Research, https://doi.org/10.1029/2021WR030573

Carlson, H., Pietroniro, A., Gober, P., Leger, W., and Merrill, S. (2021): Water Resources; Chapter 4 in Canada in a Changing Climate: National Issues Report, (eds.) F.J. Warren and N. Lulham; Government of Canada, Ottawa, Ontario.  https://www.nrcan.gc.ca/sites/nrcan/files/GNBC/Chapter%204_Water%20Resources_Final_EN.pdf

Gober, Patricia. 2018. Building Resilience to Uncertain Water Futures. Cham Switzerland: Palgrave MacMillan.

Gober, Patricia. 2018. Environmental Risks and Hazards from a Cognitive-behavioral Perspective. In Handbook of Behavioral and Cognitive Geography, edited by Daniel L. Montello, 322-333. Chapter 18. Cheltenham, UK: Edward Elgar.

Li Y., Li Z. (2021) High-Resolution Weather Research Forecasting (WRF) Modeling and Projection Over
Western Canada, Including Mackenzie Watershed. In: Yang D., Kane D.L. (eds) Arctic Hydrology,
Permafrost and Ecosystems. Springer, Cham. DOI 10.1007/978-3-030-50930-9_2

Abu, R., Reed, M.G., and Jardine, T.D. (2018). Demonstrating how to bridge science and indigenous knowledge to understand change in the Saskatchewan River Delta. International Journal of Water Resources Development. DOI: 10.1080/07900627.2018.1558050.

Amjath-Babua, T.S., Sharmab, B., Brouwer, R., Rasulb, G., Wahide, S.M., Neupaneb, N., Bhattaraif, U. and Sieber, S. (2019). Integrated modelling of the impacts of hydropower projects on the waterfood-energy nexus in a transboundary Himalayan river basin. Applied Energy, 239: 494-503.

Anderson, E.P., Jackson, S., Tharme, R.E., Douglas, M.M., Flotemersch, J.E., Zwarteveen, M., Lokgariwar, C., Montoya, M., Wali, A., Tipa, G., Jardine, T.D., Olden, J.D., Cheng, L., Conallin, J., Cosens, B., Dickens, C., Garrick, D., Groenfeldt, D., Kabogo, J., Roux, D.J., Ruhi, A., and Arthington, A.H. 2019. Understanding rivers and their social relations: a critical step to advance environmental water management. WIREs Water 6: e1381

Asong, Z., Elshamy, M., Princz, D., Wheater, H., Pomeroy, J., Pietroniro, A., & Cannon, A. (2020). High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin. Earth System Science Data, 12(1): 629-645, DOI: 10.5194/essd-12-629-2020.

Asong, Z. E., Wheater, H. S., Bonsal, B., Razavi, S., & Kurkute, S., (2018), Historical drought patterns over Canada and their relation to teleconnections, Hydrology and Earth System Sciences, 22(6), 3105-3124.

Asong, Z.E., Razavi, S., Wheater, H.S., Wong, J.S. (2017), Evaluation of Integrated Multisatellite Retrievals for GPM (IMERG) over Southern Canada against Ground Precipitation Observations: A Preliminary Assessment. Amer. Meteor. doi: 10.1175/JHM-D-16-0187.1

Bajracharya, A. R., Awoye, O. H. R., Stadnyk, T. A., and Asadzadeh, M. 2020. Time Variant Sensitivity Analysis of Hydrological Model Parameters in a Cold Region Using Flow Signatures. Water, 12(4), 961, Special Issue Whither Cold Regions Hydrology under Changing Climate Conditions.Brouwer, R. and Sheremet, O. (2017), The economic value of river restoration. Water Resources and Economics, 17: 1-8. https://doi.org/10.3390/w12040961

Brouwer, R., Miraldo Ordens, C., Pinto, R. and Condesso de Melo, M.T. (2018) Economic valuation of groundwater protection using a groundwater quality ladder based on chemical threshold levels. Ecological Indicators, 88: 292-304. https://doi.org/10.1016/j.ecolind.2018.01.041

Budhathoki, S., Rokaya, P., & Lindenschmidt, K. E. (2020). Improved modelling of a Prairie catchment using a progressive two-stage calibration strategy with in situ soil moisture and streamflow data. Hydrology Research, 51(3), 505-520. https://doi.org/10.2166/nh.2020.109

Budhathoki, S., Rokaya, P., Lindenschmidt, K. E., & Davison, B. (2020). A multi-objective calibration approach using in-situ soil moisture data for improved hydrological simulation of the Prairies. Hydrological Sciences Journal, 65(4), 638-649, DOI: 10.1080/02626667.2020.1715982

Carr, M. K., Sadeghian, A., Lindenschmidt, K. E., Rinke, K., & Morales-Marin, L. (2019). Impacts of Varying Dam Outflow Elevations on Water Temperature, Dissolved Oxygen, and Nutrient Distributions in a Large Prairie Reservoir. Environmental Engineering Science. https://doi.org/10.1089/ees.2019.0146

Chen L, Yanping Li, Fei Chen, Michael Barlage, Zhe Zhang, Zhenhua Li, (2018): Using 4-km WRF CONUS simulations to assess impacts of the surface coupling strength on regional climate simulation, Climate Dynamics, 53(9), 6397-6416. https://doi.org/10.1007/s00382-019-04932-9

Chu, T., Das, A. and Lindenschmidt, K.-E. (2017), RADARSAT-2 based digital elevation models derived from InSAR for high latitudes of northern Canada. Journal of Applied Remote Sensing 11(3): 035013. http://dx.doi.org/10.1117/1.JRS.11.035013

Chun, K.P., Mamet, S.D., Metsaranta, J., Barr, A., Johnstone, J., Wheater, H. (2017), A novel stochastic method for reconstructing daily precipitation times-series using tree-ring data from the western Canadian Boreal Forest. Dendrochronologia. doi: 10,1016/j.dendro.2017.01.003.

Conway JP, Pomeroy JW, Helgason WD, Kinar NJ, (2018). Challenges in modelling turbulent heat fluxes to snowpacks in forest clearings, Journal of Hydrometeorology, 19: 1599 - 1616. DOI: 10.1175/JHM-D-18-0050.1.

Costa, C., Baulch, H., Elliott, J., Pomeroy, J., & Wheater, H. (2019). Modelling nutrient dynamics in cold agricultural catchments: A review. Environmental Modelling and Software, 124: 1-16, DOI: 10.1016/ j.envsoft.2019.104586.

Costa D, Pomeroy JW, (2019). Preferential meltwater flowpaths as a driver of preferential elution of chemicals from melting snowpacks, Science of the Total Environment, 662: 110-120. DOI: 10.1016/j.scitotenv.2019.01.091.

Costa, D., Pomeroy, J., Baulch, H., Elliott, J., & Wheater, H. (2019). Using an inverse modelling approach with equifinality control to investigate the dominant controls on snowmelt nutrient export. Hydrological Processes, 33(23): 2958-2977, DOI: 10.1002/hyp.13463

Costa, D., Pomeroy, J.W., Brown, T., Baulch, H., Elliott, J. and Macrae, M. (2021) Advances in the simulation of nutrient dynamics in cold climate agricultural basins: Developing new nitrogen and phosphorus modules for the Cold Regions Hydrological Modelling Platform, Journal of Hydrology, 603, 1-17, DOI: 10.1016/j.jhydrol.2021.126901

Costa D, Pomeroy JW, Wheater HS, (2018). A numerical model for the simulation of snowpack solute dynamics to capture runoff ionic pulses during snowmelt: the PULSE model, Advances in Water Resources, 122: 37 - 48. DOI: 0.1016/j.advwatres.2018.09.008.

Costa D, Roste J, Pomeroy J, Baulch H, Elliott J, Wheater H, Westbrook C, (2017), A modelling framework to simulate field-scale nitrate response and transport during snowmelt: The WINTRA model, Hydrological Processes, 32 (3): 4250-4268. DOI: 10.1002/hyp.11346

Daneshi, A., Brouwer, R. Najafinejad, A., Panahi, M., Zarandian, A., Maghsood, F.F. (2020). Modelling the Impacts of Climate and Land Use Change on Water Security in a Semi-Arid Forested Watershed using InVEST. Journal of Hydrology, 593: 125621. https://doi.org/10.1016/j.jhydrol.2020.125621

Das, A., Reed, M. and Lindenschmidt, K.-E. (2018), Sustainable ice-jam flood management for socio-economic and socio-ecological systems. Water, 10: 135 http://dx.doi.org/10.3390/w10020135

Das, A., Rokaya, P., & Lindenschmidt, K. E. (2020). Ice-Jam Flood Risk Assessment and Hazard Mapping under Future Climate. Journal of Water Resources Planning and Management, 146(6), 04020029

DeBeer, C., Pomeroy, J., (2017), Influence of snowpack and melt energy heterogeneity on snow cover depletion and snowmelt runoff simulation in a cold mountain environment, Journal of Hydrology, 553(1): 199 - 213. DOI: 10.1016/j.jhydrol.2017.07.051

DeBeer, C., Wheater, H., Pomeroy, J., Barr, A., Baltzer, J., Johnstone, J., Turetsky, M., Stewart, R., Hayashi, M., van der Kamp, G., Marshall, S., Campbell, E., Marsh, P., Carey, S., Quinton, W., Li, Y., Razavi, S., Berg, A., McDonnell, J., Spence, C., Helgason, W., Ireson, A., Black, T.A., Elshami, M., Yassin, F., Davison, B., Howard, A., Thériault, J., Shook, K.*, Demuth, M., & Pietroniro, A. (2021) Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 2: Future change in cryosphere, vegetation, and hydrology, Hydrological Earth System Sciences (HESS), 25(4): 1849-1882, DOI: 10.5194/hess-25-1849-2021

Do, N. C., & Razavi, S. (2020). Correlation effects? A major but often neglected component in sensitivity and uncertainty analysis. Water Resources Research, 56(3), e2019WR025436. https://doi.org/10.1029/2019WR025436

Du, L., Xu, L., Li, Y., Liu, C., Li, Z., Wong, J. S., & Lei, B. (2019). China’s agricultural irrigation and water conservancy projects: A policy synthesis and discussion of emerging issues. Sustainability, 11(24), 7027. https://doi.org/10.3390/su11247027

Eamen, L., Brouwer, R. and Razavi, S. (2020). The economic impacts of water supply restrictions due to climate and policy change: a transboundary river basin supply-side input-output analysis. Ecological Economics 106532. https://doi.org/10.1016/j.ecolecon.2019.106532

Eamen, L., Brouwer, R., Razavi, S. (2021). Integrated modelling to assess the impacts of water stress in a transboundary river basin: Bridging local-scale water resource operations to a river basin economy. Science of the Total Environment, 800: 149543. https://doi.org/10.1016/j.scitotenv.2021.149543.

Elshamy, M. E., Princz, D., Sapriza-Azuri, G., Abdelhamed, M. S., Pietroniro, A., Wheater, H. S., & Razavi, S. (2020). On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost. Hydrology and Earth System Sciences, 24(1), 349-379. https://doi.org/10.5194/hess-24-349-2020

Fang, X., Pomeroy, JW., DeBeer, C., Harder, P., & Siemens, E. (2019). Hydrometeorological data from Marmot Creek Research Basin, Canadian Rockies. Earth System Science Data, 11(2): 455-471, DOI: 10.5194/essd-11-455-2019

Farjad, B., Gupta, A., Razavi, S., Faramarzi, M., & Marceau, D. J. (2017). An Integrated Modelling System to Predict Hydrological Processes under Climate and Land-Use/Cover Change Scenarios. Water, 9(10), 767.

Garcia-Hernandez, J. A., & Brouwer, R. (2021). A multiregional input–output optimization model to assess impacts of water supply disruptions under climate change on the Great Lakes economy. Economic Systems Research, 33(4), 509-535. https://doi.org/10.1080/09535314.2020.1805414

Gauch, M., Mai, J., & Lin, J. (2021). The proper care and feeding of CAMELS: How limited training data affects streamflow prediction. Environmental Modelling & Software, 135, 104926. https://doi.org/10.1016/j.envsoft.2020.104926

Gharari, S., and Razavi, S. (2018), Review and Synthesis of Hysteresis in Hydrology and Hydrological Modelling: Memory, Path-Dependency, or Missing Physics?, Journal of Hydrology, 566, 500-519. 

Ghoreishi, M., Razavi, S., & Elshorbagy, A. (2021). Understanding human adaptation to drought: agent-based agricultural water demand modeling in the Bow River Basin, Canada. Hydrological Sciences Journal, 66(3), 389-407.

Ghoreishi, M., Sheikholeslami, R., Elshorbagy, A., Razavi, , & Belcher, K. (2021). Peering into agricultural rebound phenomenon using a global sensitivity analysis approach. Journal of Hydrology, 602, 126739.

Green, D.J., Jardine, T.D., Weber, L.P., and Janz, D.M. In press. Energy stores and mercury concentrations in a common minnow (Spottail shiner, Notropis hudsonius) associated with a peaking hydroelectric dam. River Research and Applications. DOI: 10.1002/rra.3625

Guerrero, J.L., Pernica, P., Wheater, H., Mackay, M. and Spence, C. (2017), Parameter sensitivity analysis of a 1-D cold region lake model for land-surface schemes. Hydrol. Earth Syst. Sci., 21, 6345-6362, doi: 10.5194/hess-21-6345-2017

Guillaume, Joseph H.A, Jakeman, John D, Marsili-Libelli, Stefano, Asher, Michael, Brunner, Philip, Croke, Barry, . . . Stigter, Johannes D. (2019). Introductory overview of identifiability analysis: A guide to evaluating whether you have the right type of data for your modeling purpose. Environmental Modelling and Software, 119, 418-432. https://doi.org/10.1016/j.envsoft.2019.07.007

Gupta, H.V., and Razavi, S., (2018), Revisiting the Basis of Sensitivity Analysis for Dynamical Earth Systems Models, Water Resources Research, 54. https://doi.org/10.1029/2018WR022668.

Haghnegahdar A. and Razavi, S. (2017), Insights into Sensitivity Analysis of Environmental Models: On the Impacts of Parameter Perturbation Scale and Model Metric Choice, 95, 115–131 https://doi.org/10.1016/j.envsoft.2017.03.031

Haghnegahdar A., Razavi S., Yassin F., and Wheater H. (2017), Multi-criteria sensitivity analysis as a diagnostic tool for understanding model behavior and characterizing model uncertainty, Hydrol. Process., 1-15, https://doi.org/10.1002/hyp.11358

Harder P, Helgason WD, Pomeroy JW, (2018). Modeling the Snowpack Energy Balance during Melt under Exposed Crop Stubble, Journal of Hydrometeorology, 19(7): 1191 - 1214. DOI: 10.1175/JHM-D-18-0039.1.

Harder P, Pomeroy J, Helgason W, (2017), Local-Scale Advection of Sensible and Latent Heat During Snowmelt, Geophysical Research Letters, 44(-): 9769 - 9777. DOI: 10.1002/2017GL074394

Harder P, Pomeroy J, Helgason W, (Submitted). Implications of stubble management on snow hydrology and meltwater partitioning, Canadian Water Resources Journal

Harder P, Pomeroy JW, Helgason WD, (2019). A simple model for local-scale sensible and latent heat advection contributions to snowmelt, Hydrology and Earth System Sciences, 23: 1 - 17. DOI: 10.5194/hess-23-1-2019.

Hassanzadeh, E., Strickert, G., Morales-Marin, L., Noble, B., Baulch, H., Shupena-Soulodre, E., Lindenschmidt, K.-E. (2019) A framework for engaging stakeholders in water quality modeling and management: Application to the Qu'Appelle River Basin, Canada. Journal of Environmental Management 231: 1117–1126. https://dx.doi.org/10.1016/j.jenvman.2018.11.016

Jackson, S., Anderson, E. P., Piland, N. C., Carriere, S., Java, L., & Jardine, T. D. (2022). River rhythmicity: A conceptual means of understanding and leveraging the relational values of rivers. People and Nature. https://doi.org/10.1002/pan3.10335

Kahsay, T., Kuik, O., Brouwer, R., van der Zaag, P. (2017), The economy-wide impacts of climate change and irrigation development in the Nile basin: A computable General Equilibrium approach. Climate Change Economics, 8(1): 1750004-1-30.

Kowshal, A., Das, A., & Lindenschmidt, K. E. (2021). Developing a geospatial model to predict locations of higher propensity to ice jamming along the Saint John River. CGU HS Committee on River Ice Processes and the Environment, 21st Workshop on the Hydraulics of Ice Covered Rivers Saskatoon, Saskatchewan, Canada, August 29 - September 01, 2021.

Kreibich, H., Van Loon, A. F., Schröter, K., Ward, P. J., Mazzoleni, M., Sairam, N., …* and Di Baldassarre, G. (2022). The challenge of unprecedented floods and droughts in risk management. Nature, 608(7921), 80-86. https://doi.org/10.1038/s41586-022-04917-5
…* includes Saman Razavi, Laila Balkhi, and Hayley Carlson of IMPC

Krinner G, Derksen C, Essery R, Flanner M, Hagemann S, Clark M, Hall A, Rott H, Brutel-Vuilmet C, Kim H, Ménard CB, Mudryk L, Thacheray C, Wang L, Arduini G, Balsamo G, Bartlett P, Boike J, Boone A, Chéruy F, Colin J, Cuntz M, Dai Y, Decharme B, Derry J, Ducharne A, Dutra E, Fang X*, Fierz C, Ghattas J, Gusev Y, Haverd V, Kontu A, Lafaysse M, Law R, Lawrence D, Li W, Marke T, Marks D, Ménégoz M, Nasonova O, Nitta T, Niwano M, Pomeroy J, Raleigh MS, Schaedler G, Semenov V, Smirnova TG, Stacke T, Strasser U, Svenson S, Turkov D, Wang T, Wever N, Yuan H, Zhou W, Zhu D, (2018). ESM-Snow MIP: assessing snow models and quantifying snow-related climate feedbacks, Geoscientific Model Development, 11: 5027 - 5049. DOI: 10.1080/07011784.2018.1527256.

Krogh SA, Pomeroy JW, (2018). Recent Changes to the Hydrological Cycle of an Arctic basin at the Tundra-Taiga Transition, Hydrology and Earth System Sciences, 22: 3993 - 4014. DOI: org/10.5194/hess-22-3993-2018.

Krogh, S, Pomeroy J, (2019). Impact of future climate and vegetation on the hydrology of an Arctic headwater basin at the tundra-taiga transition, Journal of Hydrometeorology, 20: 197 - 215. DOI: 0.1175/JHM-D-18-0187.1.

Krogh, S.A. and Pomeroy, J.W. (2021) Simulating site-scale permafrost hydrology: Sensitivity to modelling decisions and air temperature, Journal of Hydrology, 602 (126771); 1-15, DOI: 10.1016/j.jhydrol.2021.126771

Kurkute, S., Li, Zhenhua., Li, Yanping., & Huo, F. (2019). Assessment and Projection of Water Budget over Western Canada using Convection Permitting WRF Simulations. Hydrol. Earth Syst. Sci. Discuss., 2019, 1–32. https://doi.org/10.5194/hess-2019-522

Lee, J.H., Budhathoki, S. and Lindenschmidt, K.-E. (2021) Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas. Geocarto International, 1-14. https://doi.org/10.1080/10106049.2021.2017009

Leroux NR, Pomeroy JW, (2018). Simulation of Capillary Pressure Overshoot in Snow Combining Trapping of the Wetting Phase with a Nonequilibrium Richards Equation Model, Water Resources Research, 55(1): 1 - 13. DOI: 10.1029-2018-WR022969.

Levin-Koopman, J., Kuik, O., Tol, R. and Brouwer, R. (2017), The potential of water markets to allocate water between industry, agriculture, and public water utilities as an adaptation mechanism to climate change. Mitigation and Adaptation Strategies for Global Change, 22(2): 325. doi:10.1007/s11027-015-9662-z.

Li, Y., Li, Z., Zhang, Z., Chen, L., Kurkute, S., Scaff, L., & Pan, X. (2019). High-resolution regional climate modeling and projection over western Canada using a weather research forecasting model with a pseudo-global warming approach. Hydrology and Earth System Sciences, 23(11), 4635-4659. https://doi.org/10.5194/hess-23-4635-2019

Li, Z. and Lindenschmidt, K.-E. (2018), Coherence of Radarsat-2, Sentinel-1, and ALOS-1 PALSAR for monitoring spatiotemporal variations of river ice covers, Canadian Journal of Remote Sensing 44(1): 1-15. https://doi.org/10.1080/07038992.2018.1419424

Li, Y., Szeto, K., Stewart, R. E., Thériault, J. M., Chen, L., Kochtubajda, B., ... & Kurkute, S. (2017). A numerical study of the June 2013 flood-producing extreme rainstorm over southern Alberta. Journal of Hydrometeorology, 18(8), 2057-2078. https://doi.org/10.1175/JHM-D-15-0176.1

Li, Y., Li, Z., Zhang, Z., Chen, L., Kurkute, S., Scaff, L., and Pan, X., (2019). High-Resolution Regional Climate Modeling and Projection over Western Canada using a Weather Research Forecasting Model with a Pseudo-Global Warming Approach, Hydrol. Earth Syst. Sci. 23, 4635-4659. https://doi.org/10.5194/hess-23-4635-2019

Liang Chen, Yanping Li, Fei Chen, Michael Barlage, Zhe Zhang, Zhenhua Li, 2019: Using 4-km WRF CONUS simulations to assess impacts of the surface coupling strength on regional climate simulation, Climate Dynamics, DOI:10.1007/s00382-019-04932-9

Lilhare, R., Déry, S. J., Pokorny, S., Stadnyk, T. A., & Koenig, K. A. (2019). Intercomparison of multiple hydroclimatic datasets across the lower nelson river basin, Manitoba, Canada. Atmosphere-Ocean, 57(4), 262-278. https://doi.org/10.1080/07055900.2019.1638226

Lindenschmidt, K. E., Carr, M. K., Sadeghian, A., & Morales-Marin, L. (2019). CE-QUAL-W2 model of dam outflow elevation impact on temperature, dissolved oxygen and nutrients in a reservoir. Scientific Data, 6(1), 1-7. https://doi.org/10.1038/s41597-019-0316-y

Lindenschmidt, K. E., Carstensen, D., Fröhlich, W., Hentschel, B., Iwicki, S., Kögel, K., Kubicki, M., Kundzewicz, Z.W., Lauschke, C., Łazarów, A., Łoś, H., Marszelewski, W., Niedzielski, T., Nowak, M., Pawłowski, B., Roers, M., Schlaffer, S. and Weintrit, B. (2019) Development of an ice-jam flood forecasting system for the lower Oder River – requirements for real-time predictions of water, ice and sediment transport. Water 11: 95. https://dx.doi.org/10.3390/w11010095

Lindenschmidt, K. E. and Li, Z. (2018), Monitoring river ice cover progression at a large spatial scale using the Freeman-Durden decomposition of quad-pol Radarsat-2 images. Journal of Applied Remote Sensing.

Lindenschmidt, K. E. and Li, Z. (2019) Radar scatter decomposition to differentiate between running ice accumulations and intact ice covers along rivers. Remote Sensing 11: 307. https://dx.doi.org/10.3390/rs11030307

Lindenschmidt, K. E., & Rokaya, P. (2019). A Stochastic Hydraulic Modelling Approach to Determining the Probable Maximum Staging of Ice-Jam Floods. Journal of Environmental Informatics, 34(1). doi:10.3808/jei.201900416

Lindenschmidt, K. E., Rokaya, P., Das, A., Li, Z., & Richard, D. (2019). A novel stochastic modelling approach for operational real-time ice-jam flood forecasting. Journal of Hydrology, 575, 381-394. https://doi.org/10.1016/j.jhydrol.2019.05.048

Lucia Scaff, Andreas F. Prein, Yanping Li, Changhai Liu, Roy Rasmussen, Kyoko Ikeda, 2019: Simulating the diurnal cycle of convective precipitation in North America’s current and future climate with a convection- permitting model, Climate Dynamics, DOI: 10.1007/s00382-019-04754-9

Lv, Z. & Pomeroy, J. (2019). Detecting intercepted snow on mountain needleleaf forest canopies using satellite remote sensing. Remote Sensing of Environment, 231, 1-19, DOI: 10.1016/j.rse.2019.111222.

Lv, Z., & Pomeroy, J. (2020). Assimilating snow observations to snow interception process simulations. Hydrological Processes, DOI: 10.1002/hyp.13720.

Lv, Z., Pomeroy, JW., & Fang, X. (2019). Evaluation of SNODAS Snow Water Equivalent in Western Canada and Assimilation into a Cold Regions Hydrological Model. Water Resources Research, 55(12): 11166-11187, DOI:10.1029/2019WR025333

MacDonald M, Pomeroy J, Essery R, (2018), Water and energy fluxes over northern prairies as affected by chinook winds and winter precipitation, Agricultural and Forest Meteorology, 248(-): 372 - 385. DOI: 10.1016/j.agrformet.2017.10.025

Mai, J., Tolson, B. , Shen, H., Gaborit, É., Fortin, V., Gasset, N., Awoye, H., Stadnyk, T. A., Fry, L. M., Bradley, E. A., Seglenieks, F., Temgoua, A. G. T., Princz, D. G., Gharari, S., Haghnegahdar, A., Elshamy, M. E., Razavi, S., Gauch, M., Lin, J., Ni, X., Yuan, Y., McLeod, M., Basu, N. B., Kumar, R., Rakovec, O., Samaniego, L., Attinger, S., Shrestha, N. K., Daggupati, P., Roy, T., Wi, S., Hunter, T., Craig, J. R., and Pietroniro, A.: Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E), Journal of Hydrologic Engineering, 26, 05021 020, 2021

Datasets are listed and available at: https://github.com/julemai/GRIP-E/wiki (see “Code and Data Publication”)

Maier, H.R., Razavi, S., Kapelan, Z., Matott, L.S., Kasprzyk, J., and B.A. Tolson. (2019). Introductory overview: Optimization using evolutionary algorithms and metaheuristics. Environmental Modelling & Software 114: 195-213. https://doi.org/10.1016/j.envsoft.2018.11.018

Mairena, A., Gutwin, C., and Cockburn, A. (2019) Peripheral Notifications in Large Displays: Effects of Feature Combination and Task Interference, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019), ACM Press, in press.

Marsh, C., Pomeroy, J., & Wheater, H. (2020). The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model - design and overview. Geoscientific Model Development, 13: 225-247, DOI: 10.5194/gmd-13-225-2020

Marsh, C., Pomeroy, J., Spiteri, R., & Wheater, H. (2020). A finite volume blowing snow model for use with variable resolution meshes. Water Resources Research, 56(2): 1-28, DOI: 10.1029/2019WR025307

Marsh CB, Spiteri RJ, Pomeroy JW, Wheater HS, (2018). Multi-objective unstructured triangular mesh generation for use in hydrological and land surface models, Computers and Geosciences, 119: 49 - 67. DOI: org/10.1016/j.cageo.2018.06.009

Masud, M.B., Khaliq, M.N., Wheater, H.S. (2017), Future changes to drought characteristics over the Canadian Prairie Provinces based on NARCCAP multi-RCM ensemble. Clim. Dynam. doi: 10.1007/s00382-016-3232-2.

Masud, M.B., Khaliq, M.n., Wheater, H.S. (2017), Projected changes to short-and-long-duration precipitation extremes over the Canadian Prairie Provinces. Clim. Dynam. doi: 10.1007/s00382-016-3404-0.

Mihalicz, J., Jardine, T., Baulch, H. and Phillips I. 2019. Seasonal effects of a hydropeaking dam on a downstream benthic macroinvertebrate community. River Research and Applications 35(6): 714-724. https://doi.org/10.1002/rra.3434

Mollashahi, E., Uddin, S., and Gutwin, C. (2018). Improving revisitation in long documents with two-level artificial-landmark scrollbars. Proceedings of the 2018 International Conference on Advanced Visual Interfaces (AVI '18). ACM Press, 1-9.

Morales-Marín, L. A., Rokaya, P., Sanyal, P. R., Sereda, J., & Lindenschmidt, K. E. (2019). Changes in streamflow and water temperature affect fish habitat in the Athabasca River basin in the context of climate change. Ecological Modelling, 407, 108718. https://doi.org/10.1016/j.ecolmodel.2019.108718

Morales-Marín, L.A., Sanyal, P.R., Kadowaki, H., Li, Z., Rokaya, P. and Lindenschmidt, K.-E. (2019) A hydrological and water temperature modelling framework to simulate the timing of river freeze-up and ice-cover breakup in large-scale catchments. Environmental Modeling and Software 114: 49–63. https://doi.org/10.1016/j.envsoft.2019.01.009

Morales-Marín, L., Wheater, H. and Lindenschmidt, K.-E. (2018) Potential changes of annual-averaged nutrient export in the South Saskatchewan River basin under climate and land-use change scenarios. Water 10: 1438. http://dx.doi.org/10.3390/w10101438

Morales-Marín, L., Wheater, H. and Lindenschmidt, K.-E. (2018), Estimating sediment loadings in the South Saskatchewan River catchment, Water Resources Management 32(2): 769-783. http://dx.doi.org/10.1007/s11269-017-1838-8

Morales-Marin, L., Wheater, H.S., and Lindenschmidt, K.-E. (2017), Assessment of nutrient loadings of a large multipurpose prairie reservoir. J. Hydrol. doi: 10.1016/j.jhydrol.2017.04.043.

Pattison-Williams JK, Pomeroy JW, Badiou P, Gabor S, (2018), Wetlands, Flood Control and Ecosystem Services in the Smith Creek Drainage Basin: A Case Study in Saskatchewan, Canada, Ecological Economics, 1(47): 36 - 47. DOI: 10.1016/j.ecolecon.2017.12.026

Pechlivanidis, I.G., McIntyre, N., Wheater, H.S. (2017), The significance of spatial variability of rainfall on simulated runoff: an evaluation based on the Upper Lee catchment, UK. Hydrol. Res. doi: 10.2166/nh.2016.038.

Persaud, B.D., Dukacz, K.A., Saha, G.C., Peterson, A., Moradi, L., O'Hearn, S., Clary, E., Mai, J., Steeleworthy, M., Venkiteswaran, J.J., Kheyrollah-Pour, H., Wolfe, B.B., Carey, S.K., Pomeroy, J.W., DeBeer, C.M.*, Waddington, J.M., Van Cappellen, P. and Lin, J. (2021) Ten best practices to strenghen stewardship and sharing of water science data in Canada, Hydrological Processes, 35(11), 1-16, DOI: 10.1002/hyp.14385

Petford, J., Nacenta, M., and Gutwin, C. (2018) Pointing All Around You: Selection Performance of Mouse and Ray-Cast Pointing in Full-Coverage Displays, Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), ACM Press, paper 533.

Rajulapati, C.R, Papalexiou, S.M, Clark, M.P. and Pomeroy, J.W. (2021) The Perils of Regridding: Examples Using a Global Precipitation Dataset, Journal of Applied Meteorology and Climatology, 60(11), 1561-1573, DOI: 10.1175/JAMC-D-20-0259.1

Data used in the manuscript available at http://www.gloh2o.org/mswep/

Rasouli K, Pomeroy JW, Janowicz JR, Williams TJ, Carey SK, (2019). A long-term hydrometeorological dataset (1993-2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada, Earth System Science Data, 11: 89 - 100. DOI: 10.5194/essd-11-89-2019.

Rasouli K, Pomeroy J, Whitfield PH, (2019). Hydrological Responses of Headwater Basins to Monthly Perturbed Climate in the North American Cordillera, Journal of Hydrometeorology 20(5), 863-882. DOI: 10.1175/JHM-D-18-0166.1.

Rasouli, K., Pomeroy, JW., & Whitfield, PH. (2019). Are the effects of vegetation and soil changes as important as climate change impacts on hydrological processes? Hydrology and Earth System Sciences, 23(12): 4933-4954, DOI: 10.5194/hess-2019-214.

Razavi, S. (2021). Deep Learning, Explained: Fundamentals, Explainability, and Bridgeability to Process-based modelling. Environmental Modelling & Software. 144, 105159. https://doi.org/10.1016/j.envsoft.2021.105159

Razavi, S., Gober, P., Maier, H. R., Brouwer, R., & Wheater, H. (2020). Anthropocene flooding: Challenges for science and society. Hydrological Processes, 34(8), 1996-2000.

Razavi, S., Gupta, H. V., (2019), A Multi-Method Generalized Global Sensitivity Matrix Approach to Accounting for the Dynamical Nature of Earth and Environmental Systems Models, Environmental Modelling & Software. 114, 1-11. https://doi.org/10.1016/j.envsoft.2018.12.002

Razavi, S., Jakeman, A., Saltelli, A., Prieur, C., Iooss, B., Borgonovo, E., Plischke, E., lo Piano, S., Iwanaga, T., Becker, W., Tarantola, S., Guillaume, J. H. A., Jakeman, J., Gupta, H., Melillo, N., Rabitti, G., Chabridon, V., Duan, Q., Sun, X., ... Maier, H. R. (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling &; Software, 137, 104954. https://doi.org/https://doi.org/10.1016/j.envsoft.2020.104954

Razavi S., and Vogel, R. (2018). Prewhitening of hydroclimatic time series? Implications for inferred change and variability across time scales, Journal of Hydrology, 557, 109-115, doi:10.1016/j.jhy

Razavi, S., Sheikholeslami, R., Gupta, H. V., Haghnegahdar, A., (2019), VARS-TOOL: A Toolbox for Comprehensive, Efficient, and Robust Sensitivity and Uncertainty Analysis, Environmental Modelling & Software. 112, 95-107. https://doi.org/10.1016/j.envsoft.2018.10.005

Rokaya P., Budhathoki S., Lindenschmidt KE (2018), Trends in the Timing and Magnitude of Ice-Jam Floods in Canada, Scientific Reports 8 (1), 5834. http://dx.doi.org/10.1038/s41598-018-24057-z

Rokaya, P., Budhathoki, S., & Lindenschmidt, K.-E. (2018). Ice-jam flood research: a scoping review. Natural Hazards, 94(3), 1439–1457. https://doi.org/10.1007/s11069-018-3455-0

Rokaya, P., & Lindenschmidt, K. E. (2020). Correlation among parameters and boundary conditions in river ice models. Modeling Earth Systems and Environment, 6(1), 499-512. https://doi.org/10.1007/s40808-019-00696-7

Rokaya, P., Morales-Marin, L., & Lindenschmidt, K.-E. (2020). A physically-based modelling framework for operational forecasting of river ice breakup. Advances in Water Resources, 139, 103554. https://doi.org/https://doi.org/10.1016/j.advwatres.2020.103554

Rokaya, P., Morales-Marín, L., Bonsal, B., Wheater, H., & Lindenschmidt, K. E. (2019). Climatic effects on ice phenology and ice-jam flooding of the Athabasca River in western Canada. Hydrological Sciences Journal, 64(11), 1265-1278.

Rokaya, P., Peters, D., Elshamy, M., Budhathoki, S., & Lindenschmidt, K. E. (2020) Impacts of future climate on the hydrology of a northern headwaters basin and its implications for a downstream deltaic ecosystem. Hydrological Processes, 34 (7), 1630– 1646. https://doi.org/10.1002/hyp.13687

Rokaya, P., Wheater, H.S. and Lindenschmidt, K.-E. (2019) Promoting sustainable ice-jam flood management along the Peace River and Peace-Athabasca Delta. Journal of Water Resources Planning and Management 145(1): 04018085. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001021

Sabokruhie, P.; Akomeah, E.; Rosner, T.; Lindenschmidt, K.-E. (2021) Proof-of-Concept of a Quasi-2D Water-Quality Modelling Approach to Simulate Transverse Mixing in Rivers. Water 2021, 13, 3071. https://doi.org/10.3390/w13213071

Sadeghian, A., Chapra, S., Hudson, J., Wheater, H., Lindenschmidt, K.-E. (2018), Improving in-lake water quality modeling using variable chlorophyll a/algal biomass ratios, doi: 10.1016/j.envsoft.2017.12.009

Sadeghian, A., Hudson, J., Wheater, H., and Lindenschmidt, K. E. (2017), Sediment plume model—a comparison between use of measure turbidity data and satellite images for model calibration. Environ. Sci. Pollut. Res. doi: 10.1007/s11356-017-9616-y

Saltelli, A., Jakeman, A., Razavi, S., &; Wu, Q. (2021). Sensitivity analysis: A discipline coming of age. Environmental Modelling &; Software, 146, 105226. https://doi.org/https://doi.org/10.1016/j.envsoft.2021.105226

Sapriza-Azuri, G., Gamazo, P., Razavi, S., and Wheater, H. (2018), On the Appropriate Definition of Soil Profile Configuration and Initial Conditions for Land Surface-Hydrology Models in Cold Regions, Hydrology and Earth System Sciences, 22, 3295-3309, https://doi.org/10.5194/hess-22-3295-2018.

Scaff, L., Prein, A., Li, Y., Liu, C., Rasmussen, R., & Ikeda, K. (2019). Simulating the convective precipitation diurnal cycle in North America’s current and future climate. Climate Dynamics. https://doi.org/10.1007/s00382-019-04754-9

Sheikholeslami, R., and Razavi, S., (2017), Progressive Latin Hypercube Sampling: An efficient approach for robust sampling-based analysis of environmental models, Environmental Modelling & Software, 93: 109–126 doi: 10.1016/j.envsoft.2017.03.010

Sheikholeslami, R., and Razavi, S., (2018), Avoiding the Guise of an Anonymous Review, Eos, Transactions of American Geophysical Union, (in Press).

Sheikholeslami, R., Razavi, S., Gupta, H. V., Becker, W., and Haghnegahdar, A., (2019), Global Sensitivity Analysis for High-Dimensional Problems: How to Objectively Group Factors and Measure Robustness and Convergence while Reducing Computational Cost, Environmental Modelling & Software. 111, 282-299. https://doi.org/10.1016/j.envsoft.2018.09.002.

Sheikholeslami, R., Razavi, S., & Haghnegahdar, A. (2019). What should we do when a model crashes? Recommendations for global sensitivity analysis of Earth and environmental systems models. Geoscientific Model Development, 12(10), 4275–4296. https://doi.org/10.5194/gmd-12-4275-2019

Sheikholeslami, R., Yassin, F., Lindenschmidt, K.-E., and Razavi, S. (2017), Improved Understanding of River Ice Processes Using Global Sensitivity Analysis Approaches. Journal of Hydrologic Engineering 22(11): 04017048 https://doi.org/10.1061/(ASCE)HE.1943-5584.0001574

Slaughter, A. R. and Razavi, S. (2020). Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2019-57, in review, 2019.

Stewart R. E., K. K. Szeto, B. R. Bonsal, J. M. Hanesiak, B. Kochtubajda, Y. Li, J. M. Thériault, C. M. DeBeer, B. Y. Tam, Z. Li, Z. Liu, J. A. Bruneau, S. Marinier, D. Matte, 2019: Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada – Part 1: Projected climate and meteorology, Hydrol. Earth Syst. Sci. 23, 3437–3455, https://doi.org/10.5194/hess-23-3437-2019

Stone, L.E., Fang, X., Haynes, K.M., Helbig, M., Pomeroy, J.W., Sonnentag, O., & Quinton, W.L. (2019). Modelling the effects of permafrost loss on discharge from a wetland-dominated, discontinuous permafrost basin. Hydrological Processes, 33(20): 2607-2626, DOI: 2607-10.1002/hyp.13546

Wada, Y., Bierkens, M. F.P., de Roo, A., Dirmeyer, P., Famligietti, J., Hanasaki, N., Konar, M., Liu, J., Schmied, H.M., Oki, T., Pokhrel, Y., Sivaplan, M., Troy, T., van Dijk, A., van Emmerik, T., Van Huijgevoort, M., Van Lanen, H., Vorosmarty, C., Wanders, N., Wheater, H. (2017), Human-water interface in hydrological modelling: current status and future directions. Hydrol. Earth Syst. Sci., 21, 4169-4193, doi: 10.5194/hess-21-4169-2017

Wayand NE, Marsh CB, Shea JM, Pomeroy JW, (2018). Globally Scalable Alpine Snow Metrics, Remote Sensing of Environment, 213: 61 - 72. DOI:org/10.1016/j.rse.2018.05.012

Williams, B., Das, A., Luo, B., & Lindenschmidt, K. E. (2021). An ice jam flood hazard assessment of a lowland river and its terminus inland delta. Natural hazards, 105(3), 2799-2817. https://doi.org/10.1007/s11069-020-04425-7

Wong, J.S., Razavi, S., Bonsal, B.R., Wheater, H.S., Asong, Z.E. (2017), Inter-comparison of daily precipitation products for large-scale hydro-climatic applications over Canada, Hydrol. Earth Syst. Sci. doi: 10.5194/hess-21-2163-2017.

Wunder, S., Brouwer, R., Engel, S., Ezzine-de-Blas, D., Muradian, R., Pacual, U., Pinto, R. (2018). From principles to practice in paying for nature’s services. Nature Sustainability 1(3): 145-150.

Yassin, F., Razavi, S., Elshamy, M., Davison, B., Sapriza-Azuri, G., & Wheater, H. (2019). Representation and improved parameterization of reservoir operation in hydrological and land-surface models. Hydrology and Earth System Sciences, 23(9), 3735-3764.

Yassin, F., Razavi, S., Wheater, H., Sapriza-Azuri, G., Davison, B., Pietroniro, A. (2017), Enhanced Identification of a Hydrologic Model using Streamflow and Satellite Water Storage Data: A Multi-criteria Sensitivity Analysis and Optimization Approach. Hydrol. Process. doi: 10.1002/hyp.11267

Yassin, F., Razavi, S., Wong, J. S., Pietroniro, A., and Wheater, H. (2019). Hydrologic-Land Surface Modelling of a Complex System under Precipitation Uncertainty: A Case Study of the Saskatchewan River Basin, Canada, Hydrol. Earth Syst. Sci. Discuss., 1-40. https://doi.org/10.5194/hess-2019-207

Zaghloul, M., Papalexiou, S.M., Elshorbagy, A., LMoFit: Advanced L-Moment Fitting of Distributions. Version 0.1.6. R-Package, CRAN. https://cran.r-project.org/package=LMoFit

Zaghloul, M., Papalexiou, S.M., Elshorbagy, A., Coulibaly, P., 2020. Revisiting flood peak distributions: A pan-Canadian investigation. Advances in Water Resources 145, 103720. https://doi.org/10.1016/j.advwatres.2020.103720

Zahmatkesh, Z.; Han, S.; Coulibaly, P. (2021) Understanding Uncertainty in Probabilistic Floodplain Mapping in the Time of Climate Change. Water, 13, 1248. https://doi.org/10.3390/w13091248

Zhang, Z., Barlage, M., Chen, F., Li, Y., Helgason, W., Xu, X., et al., (2020) Joint modeling of crop and irrigation in the Central United States using the Noah‐MP land surface model. Journal of Advances in Modeling Earth Systems. https://doi.org/10.1029/2020MS002159

Zhang, Z., Bortolotti, L. E., Li, Z., Armstrong L. M., Bell, T. W., Li, Y., (2021): Heterogeneous changes to North America prairie pothole wetlands under future climate. Water Resources Research. https://doi.org/10.1029/2020WR028727

Zhang, Z., Li, Y., Barlage, M., Chen, F., Miguez-Macho, G., Ireson, A., and Li, Z. (2020) Modeling groundwater responses to climate change in the Prairie Pothole Region, Hydrol. Earth Syst. Sci. 24, 655–672. https://doi.org/10.5194/hess-24-655-2020

Zhang, Z., Li, Y., Chen, F., Barlage, M., Li, Z., (2018): Evaluation of convection-permitting WRF CONUS simulation on the relationship between soil moisture and heatwaves, Climate Dynamics, DOI: 10.1007/s00382-018-4508-5

Zhenhua Li, Yanping Li, Barrie Bonsal, Alan Manson, Lucia Scaff, (2018): Combined Impacts of ENSO and MJO on the 2015 Growing Season Drought over the Canadian Prairies, Hydrol. Earth Syst. Sci., 22, 5057–5067

Zhihua, H., Pomeroy, J.W., Fang, X., Peterson A. (2021) Sensitivity analysis of hydrological processes to perturbed climate in a southern boreal forest basin, Journal of Hydrology, 601(126706); 1-16, DOI: 10.1016/j.jhydrol.2021.126706

A full description of the sites, forest and data available can be found

here https://water.usask.ca/berms/index.php and a description of water balance variables and streamflow is provided by Barr et al. (2012). The meteorological, flux, and soil data are available at: https://doi.org/10.20383/101.0292 (Ahmed et al., 2020)

Leroux NR, Pomeroy JW, Helgason WD, (2018). Impact of Heat Convection Induced by Topography-Driven Air Ventilation on Snow Surface Temperature. Paper presented at 75th Eastern Snow Conference (pp.20-26)

 

Asadzadeh M. and Stadnyk T. et al. (2018), A python script to couple HEC-HMS (and HEC-DSSVue as well since HEC-HMS I/O is facilitated by HEC-DSSVue) and MODSIM.

Brouwer, R. and Pinto, R. (2018). Review and Evaluation of the Canadian Water Quality Valuation Model (WQVM 1.0). Report to Environment and Climate Change Canada. 88pages.

Carlson, H and Eamen L. (2019) “User Engagement strategies for data challenges in the Integrated Modelling Program for Canada.” Global Water Futures feature article. https://gwf.usask.ca/articles/km/user-engagement-impc.php

Carlson, Hayley. (2019). Putting research into active use: HYPE an international example of success. Global Water Futures feature article. https://gwf.usask.ca/articles/2019/hype-int-impc.php

Do, N.C., and Razavi S., gSTAR-VARS code package

Razavi, S. (2017), Feature: When Uncertainty Matters, American Geophysical Union, Hydrology Section, December 2017 Newsletter (Invited Comment).

Razavi S, Research Spotlight, American Geophysical Union (AGU). For Gupta and Razavi (2018) “Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models” published in Water Resources Research (WRR), https://eos.org/research-spotlights/reframing-sensitivity-analysis-in-earth-system-models.

Sadeghian, A., Carr, M., Lindenschmidt, K.E. (2018), Raw data and video outputs from a CE-QUAL-W2 hydrodynamic and nutrient model for different Lake Diefenbaker Reservoir withdrawal depth scenarios [Dataset]. Federated Research Data Repository. https://dx.doi.org/10.20383/101.0134 https://www.frdr.ca/repo/handle/doi:10.20383/101.0134

Slaughter, A. and Razavi, S.: An ensemble of 500 time series of weekly flows from 1600-2001 for the four sub-basins of the Saskatchewan River Basin generated through disaggregating tree-ring reconstructed flow [Dataset]. Federated Research Data Repository. https://doi.org/10.20383/101.0139, 2019.

Stadnyk TA. (2019) Assessing future water threats in Canada. Prepared for the Copernicus Climate Change Service #C3S_422_Lot1_SMHI.

Zhang, F., Do N. C., Razavi, S., Lindenschmidt K, 2019 ‘Variance-based sensitivity analyses of a river ice model’, 20th Workshop on the Hydraulics of Ice Covered Rivers, CGU HS Committee on River Ice Processes and the Environment

Stadnyk T. and Asadzadeh M et al. (2018), A python script to couple WATFLOOD and MODSIM.

Beiraghdar, P. (2019). Developing an Integrated Water Management Model for Simulating the River-Reservoir System Operated by Manitoba Hydro. MSc thesis under M. Asadzadeh supervision, University of Manitoba

Gough, N. (2019). Design Considerations and Technology for Collaborative Web Applications, University of Saskatchewan.

Harder, P. (2018). Snow-stubble-atmosphere interactions during snowmelt on the Canadian Prairies. University of Saskatchewan.

Krogh Navarro, S. (2018). Past and Future Hydrology Near the Arctic Treeline. University of Saskatchewan.

Leroux, N. (2018). Mass and Heat Flow Through Snowpacks. University of Saskatchewan.

Mihalicz, J. (2018). Effects of a hydropeaking dam on river health and benthic macroinvertebrate secondary production in a northern Great Plains river. University of Saskatchewan.

Ali Shah, M. (2019) Integrated Water Resources Management in a Transboundary River Basin: Model Development and Sensitivity Analysis, University of Saskatchewan.

Rokaya P. (2018). Impacts of climate and regulation on ice-jam flooding of northern rivers and their inland deltas. University of Saskatchewan.

Sheikholeslami, R. (2019). Developing Efficient Strategies For Global Sensitivity Analysis Of Complex Environmental Systems Models, University of Saskatchewan.

Sotoodeh Mollashahi, E. (2019). Improving Revisitation in Long Documents with Two-Level Artificial-Landmark Scrollbars, University of Saskatchewan.

Kim, S. J. (2020). Climate Change Impact Analysis on Hydropower Operations in the Lower Nelson River Basin, 131 pages. MSc thesis under M. Asadzadeh and T. Stadnyk supervision, University of Manitoba.

Marsh, C. (2019). Doctorate, Multi-Scale Modelling of Cold Regions Hydrology, University of Saskatchewan.

Yassin, F. (2019) Doctorate, Toward Improved Hydrologic Land Surface Modelling: Enhanced Model Identification and Integration of Water Management, University of Saskatchewan.

Zhibang Lv. (2019). Doctorate, Data assimilation for cold regions hydrological modelling in the Canadian Rocky Mountains, University of Saskatchewan.

Brouwer R., (2018) Invited key note on the economics of sustainable groundwater resources management, Brazil National Groundwater Association (ABAS), Sao Paulo, Brazil, 6 November 2018.

Brouwer R., (2018) Invited key note, First International Water Security Conference, Toronto, Canada, June 20, 2018.

Brouwer R., (2018) Invited key note, UN High-Level Political Forum on Sustainable Development, United Nations, New York, July 13, 2018.

Haghnegahdar A., (2018), System Identification and Sensitivity/Uncertainty Analysis in Science and Engineering, School of Civil Engineering, Shiraz University, Shiraz, Iran, September 1st, 2018.

Leroux NR, Pomeroy JW, (2018). Improving the simulation of capillary pressure in snow with a non-equilibrium Richards equation model. International Symposium on Snow and Avalanche, Niseko, Japan, December 7, 2018

Li, Y., Sezto, K., Stewart, R., Theriault, J., Zhang, X., Kochtubajda, B., ... & Liu, A. (2014, August). The June 2013 Alberta catastrophic flooding: Water vapor transport analysis by WRF simulation. In 16th Conference on Mountain Meteorology.

Pinto R. , (2018), Invited key note on Spatial Optimization of Land and Water Conservation Priorities at the 3rd Singapore-Nanjing Eco HiTech International Water Environment Management Summit, Nanjing, China, 22-23 October 2018

Pomeroy J, (2018). Extreme Hydrology, Climate Change and Water Futures in Canada. Insurance Brokers Association of Alberta (IBAA), Banff, Canada, May 6, 2018

Pomeroy J, (2018). Global Water Futures (GWF) RHP. GEWEX Hydroclimatology Panel (GHP) Meeting, Santiago and Portillo, Chile, October 24, 2018

Pomeroy J, (2018). Global Water Futures for Alberta. Agri-Environmental Partnership of Alberta (AEPA) Advisory Committee Meeting, Edmonton, Canada, October 17, 2018

Pomeroy J, (2018). Global Water Futures: Year One Progress. Integrated Modelling Program for Canada (IMPC) First Annual Meeting, Saskatoon, Canada, July 18, 2018

Pomeroy J, (2018). How interactions between climate and vegetation impact hydrological processes in mountain headwater basins. Fourth Annual International Network for Alpine Research Catchment Hydrology (INARCH) Workshop, Portillo, Chile, October 25, 2018

Pomeroy J, (2018). Impact of meteorological forcing data on snowpack and streamflow simulations in the Canadian Rockies. Fourth Annual International Network for Alpine Research Catchment Hydrology (INARCH) Workshop, Portillo, Chile, October 25, 2018

Pomeroy J, (2018). Improving hydrologic process representations. Integrated Modelling Program for Canada (IMPC) First Annual Meeting, Saskatoon, Canada, July 18, 2018

Pomeroy J, (2018). International Conference Plenary session: Agricultural Water Futures in an era of Changing Agriculture and Climate. International Conference and 69th International Executive Council Meeting of the International Commission on Irrigation and Drainage, Saskatoon, Canada, August 12, 2018

Pomeroy J, (2018). International Network for Alpine Research Catchment Hydrology (INARCH). GEWEX Hydroclimatology Panel (GHP) Meeting, Santiago, Chile, October 24, 2018

Pomeroy J, (2018). Opening Plenary: Global Water Futures Program and its Science Contributions to GEWEX. 8th Global Energy and Water Exchanges (GEWEX) Open Science Conference: Extremes and Water on the Edge, Canmore, Canada, May 6, 2018

Pomeroy J, (2018). Rocky Mountain Water Supply Resilience and Vulnerability Evaluation. Alberta Innovates Water Innovation Program Forum, Edmonton, Canada, May 23, 2018

Pomeroy J, (2018). The Global Water Futures Program and its National Water Forecasting and Prediction System for Canada. 3rd Kazakhstan-Canada Business Council Meeting, Ottawa, Canada, June 11, 2018

Pomeroy J, (2018). The role of integrating observation and prediction systems in generating data and learning from models - a hydrological and weather extremes perspective. Joint Young Earth System Scientists (YESS) and Young Hydrologic Society (YHS) Early Career Researcher (ECR) Workshop at the 8th Global Energy and Water Exchanges (GEWEX) Conference, Canmore, Canada, May 3, 2018

Razavi, S. (2018), how can hydro-economic models help policy making?, 2018 International Conference and 69th IEC Meeting of the International Commission on Irrigation and Drainage, side event organized by FAO on Hydroeconomic modelling for transboundary river basin management – Towards more integrated approaches. August 15, 2018, Saskatoon, Canada.

Razavi, S., (2018), Integrated Modelling and Management of Watershed Systems Under Uncertainty, Canadian Water Science Workshop, November 27-28, 2018 in Ottawa, Ontario. http://gin.gw-info.net/service/api_ngwds:gin2/en/workshop/rncan-gwf_nrcan-gwf/workshop.html.

Razavi, S., (2019), Integrated Modelling and Sensitivity Analysis, Environment and Climate Change Canada Workshop on Flow Forecasting, Simon Fraser University, Feb 20-21, 2019.