Promoting GWF Research and Publications

Let us help promote the important research that you are doing with the GWF program! There are two ways we can share your journal publications:

  1. Send to gwf_news@usask.ca to be shared on Twitter and through our eNewsletter;
  2. Tag us on Twitter (@GWF_pubs) for a Retweet.

2022

  • Abdelhamed, M.S., Elshamy, M., Razavi, S. and Wheater, H., 2022. Challenges in hydrologic-land surface modelling of permafrost signatures-Impacts of parameterization on model fidelity under the uncertainty of forcing. https://doi.org/10.1002/essoar.10510317.1 
  • Ankley, P. J., Xie, Y., Havens, S., Peters, L., Timlick, L., Rodriguez-Gil, J. L., Giesy, J.P., & Palace, V. P. (2022). RNA metabarcoding helps reveal zooplankton community response to environmental stressors. Environmental Pollution, 292, 118446. https://doi.org/10.1016/j.envpol.2021.118446 
  • Aubry‐Wake, C., Bertoncini, A., & Pomeroy, J. W., 2022. Fire and Ice: The impact of wildfire‐affected albedo and irradiance on glacier melt. Earth's Future, e2022EF002685. https://doi.org/10.1029/2022EF002685 
  • Bajracharya, B.M., Smeaton, C.M., Markelov, I., Markelova, E., Lu, C., Cirpka, O.A. and Van Cappellen, P., 2022. Organic Matter Degradation in Energy-Limited Subsurface Environments—A Bioenergetics-Informed Modeling Approach. Geomicrobiology Journal, 39(1), pp.1-16. https://doi.org/10.1080/01490451.2021.1998256 
  • Basu, N., Van Meter, K. J., Byrnes, D. K., Van Cappellen, P., Brouwer, R., Jacobsen, B. H., Jarsjö, J., Rudolph, D. L., Cunha, M. C., Nelson, N., Bhattacharya, R., Destouni, G., and Olsen, S. B. (2022). Managing nitrogen legacies to accelerate water quality improvement, Nature Geoscience, 15, 97–105. https://www.nature.com/articles/s41561-021-00889-9  
  • Biagi, K.M. and Carey, S.K., 2022. The hydrochemical evolution of a constructed peatland in a post-mining landscape six years after construction. Journal of Hydrology: Regional Studies, 39, p.100978. https://doi.org/10.1016/j.ejrh.2021.100978 
  • Chegoonian, A.M., Zolfaghari, K., Leavitt, P.R., Baulch, H.M. and Duguay, C.R., 2022. Improvement of field fluorometry estimates of chlorophyll a concentration in a cyanobacteria‐rich eutrophic lake. Limnology and Oceanography: Methods. https://doi.org/10.1002/lom3.10480 
  • DeBofsky, A., Xie, Y., Challis, J. K., Ankley, P. J., Brinkmann, M., Jones, P. D., & Giesy, J. P. (2022). 16S rRNA metabarcoding unearths responses of rare gut microbiome of fathead minnows exposed to benzo [a] pyrene. Science of The Total Environment, 807, 151060. https://doi.org/10.1016/j.scitotenv.2021.151060   
  • Jensen, S., Webb, J., Simpson, G., Baulch, H.M., Leavitt, P. and Finlay, K., 2022. Controls of Carbon Dioxide, Methane, and Nitrous Oxide Emissions in Natural and Constructed Agricultural Waterbodies on the Northern Great Plains. https://doi.org/10.1002/essoar.10510323.1 
  • 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, p.127545. https://doi.org/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, p.127460. https://doi.org/10.1016/j.jhydrol.2022.127460 
  • Rokaya, P., Lindenschmidt, K.E., Pietroniro, A. and Clark, M., 2022. Modelling of ice jam floods under past and future climates: A review. Journal of Hydrology X, p.100120. https://doi.org/10.1016/j.hydroa.2022.100120 
  • Tang, G., Clark, M.P. and Papalexiou, S.M., 2022. EM-Earth: The Ensemble Meteorological Dataset for Planet Earth. Bulletin of the American Meteorological Society. https://doi.org/10.1175/BAMS-D-21-0106.1 
  • Vanderkelen, I., Gharari, S., Mizukami, N., Clark, M.P., Lawrence, D.M., Swenson, S., Pokhrel, Y., Hanasaki, N., van Griensven, A. and Thiery, W., 2022. Evaluating a reservoir parametrisation in the vector-based global routing model mizuRoute (v2. 0.1) for Earth System Model coupling. Geoscientific Model Development Discussions, pp.1-41. https://doi.org/10.5194/gmd-2022-16 
  • 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., 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), e14557. https://doi.org/10.1002/hyp.14557 

2021

  • Abdelmoaty, H. M., Papalexiou, S. M., Rajulapati, C. R., & AghaKouchak, A. (2021). Biases beyond the mean in CMIP6 extreme precipitation: A global investigation. Earth's Future, 9(10), e2021EF002196. https://doi.org/10.1029/2021EF002196 
  • Akomeah, E., Morales-Marın, L. A., Carr, M., Sadeghian, A., & Lindenschmidt, K. E. (2021). The impacts of changing climate and streamflow on nutrient speciation in a large Prairie reservoir. Journal of Environmental Management, 288, 112262. https://doi.org/10.1016/j.jenvman.2021.112262 
  • Alam, A. U., Clyne, D., Lush, W., & Deen, M. J. (2021). A reusable, reagent-less free chlorine sensor using gold thin film electrode. Analyst, 146(8), 2626-2631. https://doi.org/10.1039/D1AN00038A
  • Alam, A. U., Rathi, P., Beshai, H., Sarabha, G. K., & Deen, M. J. (2021). Fruit quality monitoring with smart packaging. Sensors, 21(4), 1509. https://doi.org/10.3390/s21041509
  • Ankley, P. J., Xie, Y., Black, T. A., DeBofsky, A., Perry, M., Paterson, M. J., Hanson, M., Higgins, S., Giesy, J. P., & Palace, V. (2021). Using zooplankton metabarcoding to assess the efficacy of different techniques to clean-up an oil-spill in a boreal lake. Aquatic Toxicology (In press) https://doi.org/10.1016/j.aquatox.2021.105847
  • Ascott, M. J., Gooddy, D. C., Fenton, O., Vero, S., Ward, R. S., Basu, N. B., ... & Surridge, B. W. (2021). The need to integrate legacy nitrogen storage dynamics and time lags into policy and practice. Science of The Total Environment, 781, 146698. https://doi.org/10.1016/j.scitotenv.2021.146698
  • Aukes, P. J., Schiff, S. L., Venkiteswaran, J. J., Elgood, R. J., & Spoelstra, J. (2021). Size‐based characterization of freshwater dissolved organic matter finds similarities within a waterbody type across different Canadian ecozones. Limnology and Oceanography Letters, 6(2), 85-95. https://doi.org/10.1002/lol2.10180
  • Aulenbach, B. T., Hooper, R. P., van Meerveld, H. J., Burns, D. A., Freer, J. E., Shanley, J. B., ... & Peters, N. E. (2021). The evolving perceptual model of streamflow generation at the Panola Mountain Research Watershed. Hydrological Processes, 35(4), e14127. https://doi.org/10.1002/hyp.14127
  • Bahrami, A., Goïta, K., Magagi, R., Davison, B., Razavi, S., Elshamy, M., & Princz, D. (2021). Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model. Journal of Hydrology, 597, 125744. https://doi.org/10.1016/j.jhydrol.2020.125744
  • Barra, R. O., Chiang, G., Saavedra, M. F., Orrego, R., Servos, M., Hewitt, L. M., ... & Munkittrick, K. (2021). Endocrine disruptors impacts in non native and native fish from Chile: The wastewaters influence. Frontiers in Endocrinology, 12, 208. https://doi.org/10.3389/fendo.2021.611281 
  • Baulch, H., Whitfield, C., Wolfe, J., Basu, N., Bedard-Haughn, A., Belcher, K., Clark, R., Ferguson, G., Hayashi, M., Lloyd-Smith, P., Loring, P., Pomeroy, J, P., Shook, K., & Spence, C. (2021). Synthesis of science: findings on Canadian Prairie wetland drainage. Canadian Water Resources Journal/Revue canadienne des ressources hydriques, 46(4), 229-241. https://doi.org/10.1080/07011784.2021.1973911 
  • Beven, K. J., Kirkby, M. J., Freer, J. E., & Lamb, R. (2021). A history of TOPMODEL. Hydrology and Earth System Sciences, 25(2), 527-549. https://doi.org/10.5194/hess-25-527-2021
  • Black, K. L., Wallace, C. A., & Baltzer, J. L. (2021). Seasonal thaw and landscape position determine foliar functional traits and whole-plant water use in tall shrubs on the low arctic tundra. New Phytologist. https://doi.org/10.1111/nph.17375
  • Brighenti, S., Hotaling, S., Finn, D.S., Fountain, A.G., Hayashi, M., Herbst, D., Saros, J.E., Tronstad, L.M. and Millar, C.I. (2021). Rock glaciers and related cold rocky landforms: Overlooked climate refugia for mountain biodiversity. Global Change Biology, 27, 1504-1517. https://doi.org/10.1111/gcb.15510.
  • Brunner, M. I., Slater, L., Tallaksen, L. M., & Clark, M. (2021). Challenges in modeling and predicting floods and droughts: A review. WIREs Water, 8(3). https://doi.org/10.1002/wat2.1520
  • Challis, J. K., Sura, S., Cantin, J., Curtis, A. W., Shade, K. M., McAllister, T. A., Jones, P. D., Giesy, J. P., & Larney, F. J. (2021). Ractopamine and other growth-promoting compounds in beef cattle operations: Fate and transport in feedlot pens and adjacent environments. Environmental Science & Technology, 55(3), 1730-1739. https://doi.org/10.1021/acs.est.0c06450
  • Chang, K.-Y., Riley, W. J., Knox, S. H. et al. incl. Helbig, M., and Sonnentag, O. (2021). Substantial hysteresis in emergent temperature sensitivity of global wetland CH4 emissions, Nature Communications, 12, 2266, https://doi.org/10.1038/s41467-021-22452-1
  • Chaudhuri, C., Gray, A., & Robertson, C. (2021). InundatEd-v1.0: a height above nearest drainage (HAND)-based flood risk modeling system using a discrete global grid system. Geoscientific Model Development. 14, 3295–3315. https://doi.org/10.5194/gmd-14-3295-2021.
  • Chik, A. H., Glier, M. B., Servos, M., Mangat, C. S., Pang, X. L., Qiu, Y., D'Aoust, P.M., Burnet, J. B., Delatolla, R., Dorner, S., Geng, Q., & CoV-2 Inter-Laboratory Consortium. (2021). Comparison of approaches to quantify SARS-CoV-2 in wastewater using RT-qPCR: Results and implications from a collaborative inter-laboratory study in Canada. journal of environmental sciences, 107, 218-229. https://doi.org/10.1016/j.jes.2021.01.029
  • Choi, Y. D., Goodall, J. L., Sadler, J. M., Castronova, A. M., Bennett, A., Li, Z., et al. (2021). Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces. Environmental Modelling & Software, 135, 104888. https://doi.org/10.1016/j.envsoft.2020.104888
  • Cholette, M., & Thériault, J. M. (2021). Precipitation Type Distribution and Microphysical Processes During the 1998 Ice Storm Simulated Under Pseudo‐Warmer Conditions. Journal of Geophysical Research: Atmospheres, 126(8), e2020JD033577. https://doi.org/10.1029/2020JD033577
  • Clark, M. G., Drewitt, G. B., & Carey, S. K. (2021). Energy and carbon fluxes from an oil sands pit lake. Science of The Total Environment, 752, 141966. https://doi.org/10.1016/j.scitotenv.2020.141966
  • Clark, M. P., Zolfaghari, R., Green, K. R., Trim, S., Knoben, W. J., Bennett, A., Nijssen, B., Ireson, A., & Spiteri, R. J. (2021). The numerical implementation of land models: Problem formulation and laugh tests. Journal of Hydrometeorology, 22(6), 1627-1648. (In press) https://doi.org/10.1175/JHM-D-20-0175.1
  • Conway, J.P., Helgason, W.D., Pomeroy, J.W., & Sicart, J.E. (2021) Icefield Breezes: Mesoscale Diurnal Circulation in the Atmospheric Boundary Layer Over an Outlet of the Columbia Icefield, Canadian Rockies. JGR Atmospheres. 126(6): 1-17, DOI: https://doi.org/10.1029/2020JD034225
  • Dalmieda, J., Zubiarrain-Laserna, A., Ganepola, D., Selvaganapathy, P. R., & Kruse, P. (2021). Chemiresistive detection of silver ions in aqueous media. Sensors and Actuators B: Chemical, 328, 129023. https://doi.org/10.1016/j.snb.2020.129023
  • Das, A., & Lindenschmidt, K. E. (2021a). Evaluation of the implications of ice‐jam flood mitigation measures. Journal of Flood Risk Management, e12697. https://doi.org/10.1111/jfr3.12697
  • Das, A., & Lindenschmidt, K. E. (2021b). Evaluation of the sensitivity of hydraulic model parameters, boundary conditions and digital elevation models on ice-jam flood delineation. Cold Regions Science and Technology, 183, 103218. https://doi.org/10.1016/j.coldregions.2020.103218
  • de Oliveira, G., Brunsell, N. A., Chen, J. M., Shimabukuro, Y. E., Mataveli, G. A., dos Santos, C. A., ... & Aragao, L. E. (2021). Legacy effects following fire on surface energy, water and carbon fluxes in mature Amazonian forests. Journal of Geophysical Research: Biogeosciences, e2020JG005833. https://doi.org/10.1029/2020JG005833
  • Dearborn, K. D., and Baltzer, J. L. (2021) Unexpected greening in a boreal permafrost peatland undergoing forest loss is partially attributable to tree species turnover, Global Change Biology, https://doi.org/10.1111/gcb.15608
  • Dearborn, K. D., Wallace, C. A., Patankar, R., and Baltzer, J. L. (2021). Permafrost thaw in boreal peatlands is rapidly altering forest community composition, Journal of Ecology, 109, 1452-1467, https://doi.org/10.1111/1365-2745.13569
  • DeBeer, C. M., Wheater, H. S., Pomeroy, J. W., Barr, A. G., Baltzer, J. L., Johnstone, J. F., Turetsky, M. R., Stewart, R. E., Hayashi, M., van der Kamp, G., Marshall, S., Campbell, E., Marsh, P., Carey, S. K., Quinton, W. L., Li, Y., Razavi, S., Berg, A., McDonnell, J. J., Spence, C., Helgason, W. D., Ireson, A. M., Black, T. A., Davison, B., Howard, A., Thériault, J. M., Shook, K., & 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, Hydrol. Earth Syst. Sci., 25, 1849–1882, https://doi.org/10.5194/hess-25-1849-2021
  • DeBofsky, A., Xie, Y., Challis, J. K., Jain, N., Brinkmann, M., Jones, P. D., & Giesy, J. P. (2021). Responses of juvenile fathead minnow (Pimephales promelas) gut microbiome to a chronic dietary exposure of benzo [a] pyrene. Environmental Pollution, 278, 116821. https://doi.org/10.1016/j.envpol.2021.116821
  • Drysdale, M., Ratelle, M., Skinner, K., Garcia-Barrios, J., Gamberg, M., Williams, M., Majowicz, S., Bouchard, M., Stark, K., Chalil, D., & Laird, B. (2021). Human biomonitoring results of contaminant and nutrient biomarkers in Old Crow, Yukon, Canada, Science of the Total Environment, 760, 143339, https://doi.org/10.1016/j.scitotenv.2020.143339
  • Fotovvat, A., Rahman, G. M., Vedaei, S. S., & Wahid, K. A. (2021). "Comparative Performance Analysis of Lightweight Cryptography Algorithms for IoT Sensor Nodes," in IEEE Internet of Things Journal, vol. 8, no. 10, pp. 8279-8290. https://doi.org/10.1109/JIOT.2020.3044526
  • 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
  • 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. https://doi.org/10.1080/02626667.2021.1873344
  • Gibson, C., Cottenie, K., Gingras-Hill, T., Kokelj, S. V., Baltzer, J., Chasmer, L., and Turetsky, M. (2021). Mapping and understanding the vulnerability of northern peatlands to permafrost thaw at scales relevant to community adaptation planning, Environmental Research Letters, https://doi.org/10.1088/1748-9326/abe74b
  • Gibson, J. J., Eby, P., Stadnyk, T. A., Holmes, T., Birks, S. J., & Pietroniro, A. (2021). Dataset of 18O and 2H in streamflow across Canada: A national resource for tracing water sources, water balance and predictive modelling. Data in Brief, 34, 106723. https://doi.org/10.1016/j.dib.2021.106723
  • Golmohammadi, G., Rudra, R., Parkin, G., Kulasekera, P., Macrae, M.L., and Goel, P.K. (2021). “Assessment of Impacts of Climate Change on Tile Discharge and Nitrogen Yield using the DRAINMOD Model” in Hydrology 8(1): 1. https://doi.org/10.3390/hydrology8010001
  • Graber, T. E., Mercier, E., D'Aoust, P. M., Hoang, H. D., Tian, X., Tasneem, S., Bhatnagar, K., & Delatolla, R. (2021). An allele-specific primer extension assay to quantify the proportion of B. 1.1. 7-specific SARS-CoV-2 RNA in wastewater. medRxiv. https://doi.org/10.1101/2021.02.22.21252041
  • Gray, A., Robertson, C., & Feick, R. (2021). CWDAT – An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data. ISPRS International Journal of Geo-Information. 10(4): 207 https://doi.org/10.3390/ijgi10040207.
  • Gruel, R., Degré- Timmons, G., Baltzer, J. L., Johnstone, J. F., McIntire, E., Day, N. J., Hart, S., McLoughlin, P., Schmigelow, F., Turetsky, M. R., Truchon-Savard, A., van Telgen, M., and Cumming, S. G. (2021). Predicting patterns of terrestrial lichen biomass recovery after boreal wildfires, Ecosphere, 12, e03481, https://doi.org/10.1002/ecs2.3481
  • He, L., Chen, J. M., Mostovoy, G., & Gonsamo, A. (2021). Soil Moisture Active Passive Improves Global Soil Moisture Simulation in a Land Surface Scheme and Reveals Strong Irrigation Signals Over Farmlands. Geophysical Research Letters, 48(8), e2021GL092658. https://doi.org/10.1029/2021GL092658
  • He, L., Wang, R., Mostovoy, G., Liu, J., Chen, J. M., Shang, J., McNairn, H., & Powers, J. (2021). Crop Biomass Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data. Remote Sensing, 13(4), 806. https://doi.org/10.3390/rs13040806
  • Hojati, M., Farmer, C., Feick, R., & Robertson, C. (2021). Decentralized geoprivacy: leveraging social trust on the distributed web. International Journal of Geographic Information Science. In Press. https://doi.org/10.1080/13658816.2021.1931236.
  • Holtzman, N. M., Anderegg, L. D. L., Kraatz, S. et al. incl. Mavrovic, A., Pappas, C., & Sonnentag, O. (2021). L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand, Biogeosciences, 18, 739-753, https://doi.org/10.5194/bg-18-739-2021
  • Housen, C., Luo, X., Ouyang, Z. et al. incl. Helbig, M., and Sonnentag, O. (2021). Representativeness of Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites, Agricultural and Forest Meteorology, 301, 108350, https://doi.org/10.1016/j.agrformet.2021.108350
  • Huang, X., & Rudolph, D. L. (2021). Coupled model for water, vapour, heat, stress and strain fields in variably saturated freezing soils. Advances in Water Resources, 103945. https://doi.org/10.1016/j.advwatres.2021.103945
  • Hugonnet, R., McNabb, R., Berthier, E., Menounos, B., Nuth, C., Girod, L., Farinotti, D., Huss, M., Dussaillant, I., Brun, F., & Kääb, A., (2021). Accelerated global glacier mass loss in the early twenty-first century. Nature. https://doi.org/10.1038/s41586-021-03436-z
  • Huo, F., Xu, L., Li, Y., Famiglietti, J. S., Li, Z., Kajikawa, Y., & Chen, F. (2021). Using big data analytics to synthesize research domains and identify emerging fields in urban climatology. Wiley Interdisciplinary Reviews: Climate Change, 12(1), e688. https://doi.org/10.1002/wcc.688
  • Ikert, H., Lynch, M. D., Doxey, A. C., Giesy, J. P., Servos, M. R., Katzenback, B. A., & Craig, P. M. (2021). High throughput sequencing of microRNA in rainbow trout plasma, mucus, and surrounding water following acute stress. Frontiers in physiology, 11, 1821. http://doi.org/10.3389/fphys.2020.588313
  • Iwanaga, T., Wang, H. H., Hamilton, S. H., Grimm, V., Koralewski, T. E., Salado, A., ... & Little, J. C. (2021). Socio-technical scales in socio-environmental modeling: managing a system-of-systems modeling approach. Environmental Modelling & Software, 135, 104885. https://doi.org/10.1016/j.envsoft.2020.104885
  • Jasiak, I., Wiklund, J. A., Leclerc, E., Telford, J. V., Couture, R. M., Venkiteswaran, J. J., Hall, R, I., & Wolfe, B. B. (2021). Evaluating spatiotemporal patterns of arsenic, antimony, and lead deposition from legacy gold mine emissions using lake sediment records. Applied Geochemistry, 105053.  https://doi.org/10.1016/j.apgeochem.2021.105053
  • Kokulan, V., Macrae, M. L., Ali, G. A., Lobb, D. A., Morison, M., & Brooks, B. C. (2021). Temporal variability in water and nutrient movement through vertisols into agricultural tile drains in the northern Great Plains. Journal of Soil and Water Conservation76(4), 317-328. https://doi.org/10.2489/jswc.2021.00099
  • Langs, L. E., Petrone, R. M., & Pomeroy, J. W. (2021). Subalpine forest water use behaviour and evapotranspiration during two hydrologically contrasting growing seasons in the Canadian Rockies. Hydrological Processes, 35(5), e14158. https://doi.org/10.1002/hyp.14158
  • La Follette, P. T., Teuling, A. J., Addor, N., Clark, M., Jansen, K., & Melsen, L. A. (2021). Numerical daemons of hydrological models are summoned by extreme precipitation. Hydrology and Earth System Sciences Discussions, 1-32. https://doi.org/10.5194/hess-25-5425-2021 
  • Leroux, N. R., Thériault, J. M., & Rasmussen, R. (2021). Improvement of snow gauge collection efficiency through a knowledge of solid precipitation fall speed. Journal of Hydrometeorology, 22(4), 997-1006. https://doi.org/10.1175/JHM-D-20-0147.1
  • Little, M., Hagar, H., Zivot, C., Dodd, W., Skinner, K., Kenny, T.-A., Caughey, A., Gaupholm, J., & Lemire, M. (2021). Drivers and health implications of the dietary transition among Inuit in the Canadian Arctic: A scoping review, Public Health Nutrition, 24, 2650-2668, doi:10.1017/S1368980020002402 
  • Loisel, J., Gallego-Sala, A. V., Amesbury, M. J. et al. incl. Sonnentag, O. (2021). Expert assessment of future vulnerability of the global peatland carbon sink, Nature Climate Change, 11, 70-77, https://doi.org/10.1038/s41558-020-00944-0 
  • López-Moreno, J. I., Pomeroy, J. W., Morán-Tejeda, E., Revuelto, J., Navarro-Serrano, F. M., Vidaller, I., & Alonso-González, E. (2021). Changes in the frequency of global high mountain rain-on-snow events due to climate warming. Environmental Research Letters, 16(9), 094021. https://doi.org/10.1088/1748-9326/ac0dde 
  • Luymes, N., & Chow-Fraser, P. (2021). Detection of potential vernal pools on the Canadian Shield (Ontario) using object-based image analysis in combination with machine learning. Can. J. Remote Sensing. In press. https://doi.org/10.1080/07038992.2021.1900717
  • Macrae, M.L., Jarvie, H., Brouwer, R., Gunn, G., Reid, K., Joosse, P., King, K., Kleinman, P.J., Smith, D., Williams, M., & Zonitzer, M. (2021). “One Size Does Not Fit All: Towards Regional Conservation Practice Guidance to Reduce Phosphorus Loss Risk in the Lake Erie Watershed.” in Journal of Environmental Quality. https://doi.org/10.1002/jeq2.20218
  • Mai, J., Tolson, B., Shen, H., Gaborit, É., Fortin, V., ... including Stadnyk, T., Gharari, S., Haghnegahdar, A., Elshamy, M., Razavi, S., Gauch, M., Lin, J., Ni, X., Yuan, Y., McLeod, M., Basu, N., Kumar, R., Rakovec, O., Samaniego, L., Attinger, S., Shrestha, N., Daggupati, P., Roy, T., Wi, S., Hunter, T., Craig, J., & Pietroniro, A. (2021). Great Lakes Runoff Intercomparison Project Phase 3: Lake Erie (GRIP-E). Journal of Hydrologic Engineering, in press, 2021. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002097
  • Mai, J., Craig, J. R., & Tolson, B. A. (2021). The pie sharing problem: Unbiased sampling of N+ 1 summative weights. Environmental Modelling & Software, 105282. https://doi.org/10.1016/j.envsoft.2021.105282 
  • Marcinek, S., Chapoulie, A., Salaün, P., Smith, S., & Omanović, D. (2021). Revised application of copper ion selective electrode (Cu-ISE) in marine waters: A new meta-calibration approach. Talanta, 226, 122170. https://doi.org/10.1016/j.talanta.2021.122170
  • Markonis, Y., Pappas, C., Hanel, M., & Papalexiou, S. M. (2021). A cross-scale framework for integrating multi-source data in Earth system sciences. Environmental Modelling & Software, 139, 104997. https://doi.org/10.1016/j.envsoft.2021.104997
  • Marsh, C. B., Green, K. R., Wang, B., & Spiteri, R. J. (2021). Performance improvements to modern hydrological models via lookup table optimizations. Environmental Modelling & Software, 139, 105018. https://doi.org/10.1016/j.envsoft.2021.105018
  • Mavrovic, A., Pardo Lara, R., Berg, A., Demontoux, F., Royer, A., & Roy, A. (2021). Soil dielectric characterization during freeze–thaw transitions using L-band coaxial and soil moisture probes. Hydrology and Earth System Sciences, 25(3), 1117-1131. https://doi.org/10.5194/hess-25-1117-2021
  • McDonnell, J. J., Gabrielli, C., Ameli, A., Ekanayake, J., Fenicia, F., Freer, J., ... & Woods, R. (2021). The Maimai M8 experimental catchment database: Forty years of process‐based research on steep, wet hillslopes. Hydrological Processes, e14112. doi:10.1002/hyp.14112
  • McIntosh, J. C., & Ferguson, G. (2021). Deep Meteoric Water Circulation in Earth's Crust. Geophysical Research Letters, 48(5), e2020GL090461. https://doi.org/10.1029/2020GL090461
  • McKenzie S.M., Pisaric M.F., & Arain M.A. (2021). Comparison of tree‑ring growth and eddy covariance‑based ecosystem productivities in three different‑aged pine plantation forests. Trees - Structure and Function. https://doi.org/10.1007/s00468-020-02061-z
  • Meles, M. B., Goodrich, D. C., Gupta, H. V., Burns, I. S., Unkrich, C. L., Razavi, S., & Guertin, D. P. (2021). Multi-criteria, time dependent sensitivity analysis of an event-oriented, physically-based, distributed sediment and runoff model. Journal of Hydrology, 598, 126268. https://doi.org/10.1016/j.jhydrol.2021.126268.
  • Mondal, M., Roy, B., Roy, C. K., & Schneider, K. A. (2021). ID-correspondence: a measure for detecting evolutionary coupling. Empirical Software Engineering, 26(1), 1-34. https://doi.org/10.1007/s10664-020-09921-9
  • Moustakis, Y., Papalexiou, S. M., Onof, C. J., & Paschalis, A. (2021). Seasonality, Intensity, and Duration of Rainfall Extremes Change in a Warmer Climate. Earth’s Future, 9(3). https://doi.org/10.1029/2020EF001824
  • Munir, T.M., and Westbrook, C.J. 2021. Beaver dam analogue configurations influence stream and riparian water table dynamics of a degraded spring-fed creek in the Canadian Rockies, River Research and Applications, 37(3), 330-342. https://doi.org/10.1002/rra.3753
  • Munir, T.M., and Westbrook, C.J. 2021. Thermal characteristics of a beaver dam analogue equipped spring-fed creek in the Canadian Rockies, Water, 13(7), 990. https://doi.org/10.3390/w13070990
  • Newman, A. J., Monaghan, A. J., Clark, M. P., Ikeda, K., Xue, L., Gutmann, E. D., & Arnold, J. R. (2021). Hydroclimatic changes in Alaska portrayed by a high-resolution regional climate simulation. Climatic Change, 164(1), 1-21. https://doi.org/10.1007/s10584-021-02956-x
  • Noronha, N., Smith, S. J., Martin Hill, D., Davis Hill, L., Smith, S., General, A., McQueen, C., Looking Horse, Makaśa., Drossos, A., Lokker, C.,& Wekerle, C. (2021). The Use of Mobile Applications to Support Indigenous Youth Wellbeing in Canada. International Journal of Child and Adolescent Resilience/Revue internationale de la résilience des enfants et des adolescents, 8(1), 1-11. https://doi.org/10.7202/1077724ar 
  • Papacharalampous, G., Tyralis, H., Papalexiou, S. M., Langousis, A., Khatami, S., Volpi, E., & Grimaldi, S. (2021). Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity. Science of The Total Environment, 767, 144612. https://doi.org/10.1016/j.scitotenv.2020.144612
  • Patel, V., Kruse, P., & Selvaganapathy, P. R. (2021). Solid State Sensors for Hydrogen Peroxide Detection. Biosensors, 11(1), 9. https://doi.org/10.3390/bios11010009
  • Patrick, R., & Baijius, W. (2021). A Parallel Approach to Water Stewardship Planning: Making Space for Indigenous Knowledge and Western-Science. Canadian Planning and Policy / Aménagement Et Politique Au Canada, 2021(01), 1-16. https://doi.org/10.24908/cpp-apc.v2021i01.13176
  • Paul, J. R., Kokelj, S. V., and Baltzer, J. L. (2021). Spatial and stratigraphic variation of near‐surface ground ice in discontinuous permafrost of the taiga shield, Permafrost and Periglacial Processes, 32, 3-18, https://doi.org/10.1002/ppp.2085
  • Pelling, M., Kerr, R. B., Biesbroek, R., Caretta, M. A., Cissé, G., Costello, M. J., Ebi, K.L., Gunn, E.L., Parmesan, C., Schuster-Wallace, C.J., Tirado, M.C., van Aalst, M., & Woodward, A. (2021). Synergies Between COVID-19 and Climate Change Impacts and Responses. Journal of Extreme Events, 8(03), 2131002. https://doi.org/10.1142/S2345737621310023
  • 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. W., Carey, S. K., Pomeroy, J. W., DeBeer, C. M., Waddington, J. M., & Lin, J. (2021). Ten best practices to strengthen stewardship and sharing of water science data in Canada. Hydrological Processes, 35(11), e14385. https://doi.org/10.1002/hyp.14385
  • Pi, K., M. Bieroza, A. Brouchkov, C. Anatoli, W. Chen, L. Dufour, A. Herrmann, E. Krab, C. Landesman, A. Laverman, Y. Mazei, M. Öquist, S. Pozdniakov, F. Rezanezhad, A. Shi, C. Smeaton, L. Tong, P. Van Cappellen. 2021. The cold region critical zone in transition: Responses to climate warming and land use change. Annual Review of Environment and Resources, 46, doi:10.1146/annurev-environ-012220-125703
  • Radcliffe, J., Skinner, K., Spring, A., Picard, L., Benoit, F., & Dodd, W. (2021). Virtual Barriers: The Challenges of an Online Transition for the Yellowknife Farmers Market in response to COVID-19 and the Sustainability implications in the Northern Food Context, Nutrition Journal, 20, 12, https://doi.org/10.1186/s12937-021-00664-x
  • Rafat, A., Rezanezhad, F., Quinton, W. L., Humphreys, E. R., Webster, K., & Van Cappellen, P. (2021). Non-growing season carbon emissions in a northern peatland are projected to increase under global warming. Communications Earth & Environment, 2(1), 1-12. https://doi.org/10.1038/s43247-021-00184-w
  • Raine, J. C., Su, S., Lin, E., Yang, Z. L., Giesy, J. P., & Jones, P. D. (2021). Prefertilization Exposure of Rainbow Trout Eggs to Per‐and Polyfluoroalkyl Substances to Simulate Accumulation During Oogenesis. Environmental toxicology and chemistry40(11), 3159-3165.  
  • Rajulapati, C. R., Papalexiou, S. M., Clark, M. P., & Pomeroy, J. W. (2021). The Perils of Regridding: Examples Using a Global Precipitation Dataset. Journal of Applied Meteorology and Climatology, 60(11), 1561-1573. https://doi.org/10.1175/JAMC-D-20-0259.1 
  • Rashidi, H., Baulch, H., Gill, A., Bharadwaj, L., & Bradford, L. (2021). Monitoring, Managing, and Communicating Risk of Harmful Algal Blooms (HABs) in Recreational Resources across Canada. Environmental Health Insights, 15, 11786302211014401. https://doi.org/10.1177%2F11786302211014401
  • Ratelle, M., Haig, L., Laird, B., & Skinner, K. (2021). Game bird consumption in Dene communities of the Northwest Territories, Canada, Public Health Nutrition, 24, 1229-1239, https://doi.org/10.1017/S1368980021000021
  • Renner, M., Kleidon, A., Clark, M. P., Nijssen, B., Heidkamp, M., Best, M., & Abramowitz, G. (2021). How Well Can Land-Surface Models Represent the Diurnal Cycle of Turbulent Heat Fluxes? Journal of Hydrometeorology, 22(1), 77–94. https://doi.org/10.1175/JHM-D-20-0034.1
  • Robinne, F.-N., Hallema, D. W., Bladon, K. D., Flannigan, M. D., Boisramé, G., Bréthaut, C. M., Gallagher, L., Doerr, S. H., Di Baldassarre, G., Gallagher, L., Hohner, A., Khan, S. J., Kinoshita, A. M., Mordecai, R., Nunes, J. P., Nyman, P., Santín, C., Sheridan, G., Stoof, C., Thompson, M. P., Waddington, J. M., & Wei, Y. (2021). Scientists' warning on extreme wildfire risks to water supply. Hydrological Processes 35: e14086, doi:10.1002/hyp.14086.
  • Rogers, C., Chen, J. M., Croft, H., Gonsamo, A., Luo, X., Bartlett, P., & Staebler, R. M. (2021). Daily leaf area index from photosynthetically active radiation for long term records of canopy structure and leaf phenology. Agricultural and Forest Meteorology304, 108407. https://doi.org/10.1016/j.agrformet.2021.108407
  • Shea, J.M., Whitfield, P.H., Fang, X., Pomeroy, J.W. (2021) The Role of Basin Geometry in Mountain Snowpack Responses to Climate Change. Frontiers in Water. 3(604275): 1-18. https://doi.org/10.3389/frwa.2021.604275
  • Sniderhan, A. E., Mamet, S. D., & Baltzer, J. L. (2021). Non-uniform growth dynamics of a dominant boreal tree species (Picea mariana) in the face of rapid climate change. Canadian Journal of Forest Research, 51(4), 565-572. https://doi.org/10.1139/cjfr-2020-0188
  • Spence, C., & Hedstrom, N. (2021). The Baker Creek Research Watershed: Streamflow data highlighting the behaviour of an intermittent Canadian Shield stream through a wet-dry-wet cycle, Hydrological Processes, 35, e14038, https://doi.org/10.1002/hyp.14038
  • Steelman, T., Bogdan, A., Mantyka-Pringle, C., Bradford, L., Reed, M.G., Baines, S., Fresque-Baxter, J., Jardine, T., Shantz, S., Abu, R., Staples, K., Andrews, E., Bharadwaj, L., Strickert, G., Jones, P., Lindenschmidt, K., & Poelzer, G. (2021). Evaluating transdisciplinary research practices: insights from social network analysis. Sustainability Science, 16(2), 631-645. https://doi.org/10.1007/s11625-020-00901-y
  • Sun, Q., Zhang, X., Zwiers, F., Westra, S., & Alexander, L. V. (2021). A global, continental, and regional analysis of changes in extreme precipitation. Journal of Climate, 34(1), 243-258. https://doi.org/10.1175/JCLI-D-19-0892.1
  • Tefs, A. A. G., Stadnyk, T. A., Koenig, K. A., Déry, S. J., Macdonald, M. K., Slota, P., ... & Hamilton, M. (2021). Simulating river regulation and reservoir performance in a continental-scale hydrologic model. Environmental Modelling & Software, 141, 105025. https://doi.org/10.1016/j.envsoft.2021.105025.
  • Telford, J. V., Kay, M. L., Vander Heide, H., Wiklund, J. A., Owca, T. J., Faber, J. A., Wolfe, B. B., and Hall, R. I. (2021). Building upon open-barrel corer and sectioning systems to foster the continuing legacy of John Glew, Journal of Paleolimnology, 65, 271-277, https://doi.org/10.1007/s10933-020-00162-w
  • Thériault, J. M., Leroux, N. R., & Rasmussen, R. M. (2021). Improvement of solid precipitation measurements using a hotplate precipitation gauge. Journal of Hydrometeorology, 22(4), 877-885. https://doi.org/10.1175/JHM-D-20-0168.1
  • Tyralis, H., Papacharalampous, G., Langousis, A., & Papalexiou, S. M. (2021). Explanation and Probabilistic Prediction of Hydrological Signatures with Statistical Boosting Algorithms. Remote Sensing, 13(3), 333. https://doi.org/10.3390/rs13030333
  • Van Essen, D., Devoy, C., Miller, J., Jones, P. D., & Wiseman, S. (2021). Effects of the brominated flame retardant, TBCO, on development of zebrafish (Danio rerio) embryos. Chemosphere, 266, 129195. https://doi.org/10.1016/j.chemosphere.2020.129195
  • Vionnet, V., Marsh, C. B., Menounos, B., Gascoin, S., Wayand, N. E., Shea, J., ... & Pomeroy, J. W. (2021). Multi-scale snowdrift-permitting modelling of mountain snowpack. The Cryosphere, 15(2), 743-769. https://doi.org/10.5194/tc-15-743-2021
  • Virkkala, A. M., Aalto, J., Rogers, B. M., Tagesson, T., Treat, C. C., Natali, S. M., ... & Luoto, M. (2021). Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties. Global Change Biology27(17), 4040-4059. https://doi.org/10.1111/gcb.15659
  • Wang, C., Gong, Y., Deng, F., Ding, E., Tang, J., Codling, G., ... & Giesy, J. P. (2021). Remodeling of Arctic char (Salvelinus alpinus) lipidome under a stimulated scenario of Arctic warming. Global Change Biology27(14), 3282-3298. https://doi.org/10.1111/gcb.15638 
  • Wilkinson, S. L., Furukawa, A. K., Wotton, B. M., & Waddington, J. M. (2021). Mapping smouldering fire potential in boreal peatlands and assessing interactions with the wildland–human interface in Alberta, Canada. International Journal of Wildland Fire30(7), 552-563. https://doi.org/10.1071/WF21001
  • Williams, B. S., Das, A., Johnston, P., Luo, B., & Lindenschmidt, K. E. (2021). Measuring the skill of an operational ice jam flood forecasting system. International Journal of Disaster Risk Reduction, 52, 102001. https://doi.org/10.1016/j.ijdrr.2020.102001
  • 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., Zhang, X., Gharari, S., Shrestha, R. R., Wheater, H. S., & Famiglietti, J. S. (2021). Assessing Water Balance Closure Using Multiple Data Assimilation–and Remote Sensing–Based Datasets for Canada. Journal of Hydrometeorology, 22(6), 1569-1589. https://doi.org/10.1175/JHM-D-20-0131.1 
  • Wong, J. S., Yassin, F., Famiglietti, J. S., & Pomeroy, J. W. (2021). A streamflow-oriented ranking-based methodological framework to combine multiple precipitation datasets across large river basins. Journal of Hydrology, 603, 127174. https://doi.org/10.1016/j.jhydrol.2021.127174
  • Wong, J. S., Freer, J. E., Bates, P. D., Warburton, J., & Coulthard, T. J. (2021). Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework. Earth Surface Processes and Landforms46(10), 1981-2003. https://doi.org/10.1002/esp.5140
  • Woodworth, S., & Fusco, C. (2021). Decolonizing autoethnography in kinesiology: Towards decolonial water education, The Journal of School & Society, 7, 91-110. http://www.johndeweysociety.org/the-journal-of-school-and-society/files/2021/03/8.pdf
  • Wu, Y., Duguay, C. R., & Xu, L. (2021). Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data. Remote Sensing of Environment, 253, 112206. https://doi.org/10.1016/j.rse.2020.112206
  • Wu, Y., Zhang, N., & de Lannoy, C. F. (2021). Upcycling wildfire-impacted boreal peats into porous carbons that efficiently remove phenolic micropollutants. Journal of Environmental Chemical Engineering, 9(4), 105305. (in press). https://doi.org/10.1016/j.jece.2021.105305
  • Zahmatkesh, Z., Han, S., & Coulibaly, P. (2021). Understanding Uncertainty in Probabilistic Floodplain Mapping in the Time of Climate Change, Water 13(9), 1248. https://doi.org/10.3390/w13091248
  • Zammali, M. K., Hassanzadeh, E., Shupena-Soulodre, E., & Lindenschmidt, K. E. (2021). A generic approach to evaluate costs and effectiveness of agricultural Beneficial Management Practices to improve water quality management. Journal of Environmental Management, 287, 112336. https://doi.org/10.1016/j.jenvman.2021.112336
  • Zolfaghari, K., Pahlevan, N., Binding, C., Gurlin, D., Simis, S. G., Verdú, A. R., LI, L., Crawford, C, J., VanderWoude, A., Errera, A., Zastepa, A.,& Duguay, C. R. (2021). Impact of Spectral Resolution on Quantifying Cyanobacteria in Lakes and Reservoirs: A Machine-Learning Assessment. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3114635

2020

  • Aboul-Soud, M. A., Ashour, A. E., Challis, J. K., Ahmed, A. F., Kumar, A., Nassrallah, A., ... & Giesy, J. P. (2020). Biochemical and Molecular Investigation of In Vitro Antioxidant and Anticancer Activity Spectrum of Crude Extracts of Willow Leaves Salix safsaf. Plants, 9(10), 1295. https://doi.org/10.3390/plants9101295
  • AghaKouchak, A., Chiang, F., Huning, L. S., Love, C. A., Mallakpour, I., Mazdiyasni, O., et al. (2020). Climate Extremes and Compound Hazards in a Warming World. Annual Review of Earth and Planetary Sciences, 48(1), 519–548. https://doi.org/10.1146/annurev-earth-071719-055228
  • Akbas, A., Freer, J., Ozdemir, H., Bates, P. D., & Turp, M. T. (2020). What about reservoirs? Questioning anthropogenic and climatic interferences on water availability. Hydrological Processes, 34(26), 5441-5455. https://doi.org/10.1002/hyp.13960
  • Aksamit, N., & Pomeroy, J., (2020) Warm-air entrainment and advection during alpine blowing snow events. The Cryosphere, 14: 2795–2807. https://doi.org/10.5194/tc-14-2795-2020
  • Alam, M. S., Barbour, S. L., Huang, M., & Li, Y. (2020). Using Statistical and Dynamical Downscaling to Assess Climate Change Impacts on Mine Reclamation Cover Water Balances. Mine Water and the Environment, 39(4), 699-715. https://doi.org/10.1007/s10230-020-00695-6
  • Ambadan, T., J., Oja, M., Gedalof, Z., & Berg, A. A. (2020). Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk, Remote Sensing 12, 1543, https://dx.doi.org/10.3390/rs12101543 
  • Anders, K., Marx, S., Boike, J., Herfort, B., Wilcox, E., Marsh, P., & Hofle, B. (2020). Multitemporal terrestrial laser scanning point clouds for thaw subsidence observation at Arctic permafrost monitoring sites, Earth Surface Processes and Landforms, 45, 1589- 1600, https://doi.org/10.1002/esp.4833
  • Arcand, M. M., Bradford, L., Worme, D. F., Strickert, G. E., Bear, K., Johnston, A. B. D., ... & Shewfelt, D. (2020). Sowing a way towards revitalizing Indigenous agriculture: creating meaning from a forum discussion in Saskatchewan, Canada. FACETS 5(1) 619-641. https://doi.org/10.1139/facets-2020-0004
  • Bajracharya, A., Awoye, H., Stadnyk, T., & Asadzadeh, M. (2020). Time Variant Sensitivity Analysis of Hydrological Model Parameters in a Cold Region Using Flow Signatures. Water, 12(4), 961. https://doi.org/10.3390/w12040961
  • Baltzer, J. L., & Sonnentag, O. (2020). No beating around the bush: the impact of projected high‐latitude vegetation transitions on soil and ecosystem respiration. New Phytologist, 227(6), 1591-1593. https://doi.org/10.1111/nph.16704
  • Bayha, M., & Spring, A. (2020). Response to COVID in Délįnę, NT: reconnecting with our community, our culture and our past after the pandemic, Agriculture and Human Values, 1, https://dx.doi.org/10.1007%2Fs10460-020-10059-z
  • Beamesderfer, E. R., Arain, M. A., Khomik, M., & Brodeur, J. J. (2020). The impact of seasonal and annual climate variations on the carbon uptake capacity of a deciduous forest within the Great Lakes Region of Canada. Journal of Geophysical Research: Biogeosciences, 125(9), e2019JG005389. https://doi.org/10.1029/2019JG005389
  • Beamesderfer, E. R., Arain, M. A., Khomik, M., Brodeur, J. J., & Burns, B. M. (2020). Response of carbon and water fluxes to meteorological and phenological variability in two eastern North American forests of similar age but contrasting species composition–a multiyear comparison. Biogeosciences, 17(13), 3563-3587. https://doi.org/10.5194/bg-17-3563-2020
  • Bechtold, M., De Lannoy, G. J. M., Reichle, R. H., Roose, D., Balliston, N., Burdun, I., ... & Zarov, E. A. (2020). Improved groundwater table and L-band brightness temperature estimates for Northern Hemisphere peatlands using new model physics and SMOS observations in a global data assimilation framework. Remote Sensing of Environment, 246, 111805. https://doi.org/10.1016/j.rse.2020.111805
  • Beel, C. R., Lamoureux, S. F., Orwin, J. F., Pope, M. A., Lafrenière, M. J., & Scott, N. A. (2020). Differential impact of thermal and physical permafrost disturbances on High Arctic dissolved and particulate fluvial fluxes. Scientific reports, 10(1), 1-13. https://doi.org/10.1038/s41598-020-68824-3
  • Ben Alaya, M. A., Zwiers, F. W., & Zhang, X. (2020). A bivariate approach to estimating the probability of very extreme precipitation events. Weather and Climate Extremes, 30, 100290. https://doi.org/10.1016/j.wace.2020.100290
  • Beshai, H., Sarabha, G. K., Rathi, P., Alam, A. U., & Deen, M. J. (2020). Freshness Monitoring of Packaged Vegetables. Applied Sciences, 10(21), 7937. https://doi.org/10.3390/app10217937
  • Beven, K., Asadullah, A., Bates, P., Blyth, E., Chappell, N., Child, S., Cloke, H., Dadson, S., Everard, N., Fowler, H. J., Freer, J., Hannah, D. M., Heppell, K., Holden, J., Lamb, R., Lewis, H., Morgan, G., Parry, L., & Wagener, T. (2020), Developing observational methods to drive future hydrological science: Can we make a start as a community?, Hydrological Processes, 34(3), 868-873. https://doi.org/10.1002/hyp.13622
  • Bharadwaj, L. (2020). A Framework for Building Research Partnerships with First Nations Communities. Environmental Health Insights, 8(1). https://doi.org/10.4137%2FEHI.S10869
  • Bondaruk, B., Roberts, S. A., & Robertson, C. (2020). Assessing the state of the art in Discrete Global Grid Systems: OGC criteria and present functionality. Geomatica, 74(1), 9-30. https://doi.org/10.1139/geomat-2019-0015
  • Bond-Lamberty B., Christianson D.S, Malhotra A., Pennington S.C., Sihi D., AghaKouchak A., Anjileli H., Arain M.A., et al., 2020. COSORE: a community database for continuous soil respiration and other soil-atmosphere greenhouse gas flux data. Global Change Biology, 26:7268–7283. https://doi.org/10.1111/gcb.15353
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2018 - 2019

2017 - 2018