Journal Articles - Core Modelling and Forecasting Team - Global Water Futures

2020

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.
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.
Brunner, M. I., Melsen, L. A., Wood, A. W., Rakovec, O., Mizukami, N., Knoben, W. J. M., & Clark, M. P. (in-review, 2020). Flood hazard and change impact assessments may profit from rethinking model calibration strategies. Hydrology and Earth System Sciences.
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, doi: 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: 1080/02626667.2020.1715982.
Cholette, M., J. M. Thériault, J. A. Milbrandt and H. Morrison (2020). Impacts of predicting the liquid fraction of mixed-phase particles on the simulation of an extreme freezing rain event: the 1998 Ice Storm, Monthly Weather Review (Conditionally accepted).
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.
Do, N. C., & Razavi, S. (2020). Correlation effects? A major but often neglected component in sensitivity and uncertainty analysis. Water Resources Research, e2019WR025436.
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 https://doi.org/10.1016/j.ecolecon.2019.106532
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.
Fabris, L., Rolick, R.L., Kurylyk, B.L., Carey, S.K. (2020). Characterization of contrasting flow and thermal regimes in two adjacent subarctic alpine headwaters in northwestern Canada. Hydrological Processes, doi: 10.1002/hyp.13786.
Fowler, K., Knoben, W., Peel, M., Peterson, T., Ryu, D., Saft, M., ... & Western, A. (2020). Many commonly used rainfall‐runoff models lack long, slow dynamics: implications for runoff projections. Water Resources Research, e2019WR025286.doi: 10.1029/2019WR025286.
Garcia, J. & Brouwer, R. (2020) A Multiregional Input-Output Optimization Model to Assess the Economic Impacts of Water Supply Disruptions in the Great Lakes Basin, Economic Systems Research. Accepted, pending revisions.
Glass, B., Rudolph, D. and Duguay, C. (2020). Identifying Groundwater Discharge Zones in Northern Canada Using Remotely Sensed Optical and Thermal Imagery. Canadian Journal of Earth Sciences. In revision (submission number: cjes-2019-0169).
Huang, P., de Rochambeau, D., Sleiman, H., Liu, J. (2020). Target Self-enhanced Selectivity in Metal-specific DNAzymes, Angewandte Chemie International Edition, 132, 3601-3605. doi: 10.1002/anie.201915675
Huang, X., Rudolph, D.L., and Glass, B. (2020), Potential influence of roadbed frost load on water main failure, Geophysical Research Letters (in final revision)
Gharari, S., Clark, M. P., Mizukami, N., Knoben, W. J. M., Wong, J. S., and Pietroniro, A. (2020). Flexible vector-based spatial configurations in land models, Earth Syst. Sci. Discuss., doi:10.5194/hess-2020-111, in review.
Li, H., Zhong, X., Ma, Z., Tang, G., Ding, L., Sui, X., ... & He, Y. (2020). Climate Changes and Their Teleconnections with ENSO Over the Last 55 Years, 1961–2015, in Floods‐Dominated Basin, Jiangxi Province, China. Earth and Space Science, 7(3), e2019EA001047.
Li, Z., Chen, M., Gao, S., Hong, Z., Tang, G., Wen, Y., ... & Hong, Y. (2020). Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote Sensing, 12(8), 1258.
Lu, X., Tang, G., Wang, X., Liu, Y., Wei, M., & Zhang, Y. (2020). The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products. Remote Sensing, 12(3), 398, doi: 3390/rs12030398.
Lv, Z., & Pomeroy, J. W. (2020). Assimilating snow observations to snow interception process simulations. Hydrological Processes, 34(10), 2229-2246. doi: 10.1002/hyp.13720.
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.
Moon, W. J, Liu, J. (2020) Replacing Mg2+ by Fe2+ for RNA-cleaving DNAzymes, ChemBioChem, 21, 401-407. doi: 10.1002/cbic.201900344
Nguyen, H., Barzegar, R., Khosravi, K., Omidvar, E., Quilty, J., Kheyrollah Pour, H., Taghi Aalami, M., Nhu, V. (2020). Snow Water Equivalent Prediction in a Mountainous Area using Hybrid Bagging Machine Learning Approaches. Journal of Hydrology. HYDROL-S-20-01378 (under review).
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. https://doi.org/10.1002/hyp.13723
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.
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., 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
Scott, A. K., Xu, L., Kheyrollah Pour, H. (2020). Retrieval of ice/water observations from synthetic aperture radar imagery for use in lake ice data assimilation. Journal of Great Lakes Research. GLR-D-19-00296 (under review).
Sigmund, G., Gharasoo, M., Hüffer, T., & Hofmann, T. (2020). Deep Learning Neural Network Approach for Predicting the Sorption of Ionizable and Polar Organic Pollutants to a Wide Range of Carbonaceous Materials. Environmental Science & Technology, 54(7), 4583-4591. doi: 10.1021/acs.est.9b06287
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, 12, 231–243, https://doi.org/10.5194/essd-12-231-2020.
Tang, G., Clark, M. P., Newman, A. J., Wood, A. W., Papalexiou, S. M., Vionnet, V., and Whitfield, P. H. (2020). SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018, Earth Syst. Sci. Data Discuss., in review, https://doi.org/10.5194/essd-2020-92.
Tang, G., Clark, M. P., Papalexiou, S. M., Ma, Z., & Hong, Y. (2020). Have satellite precipitation products improved over last two decades? A comprehensive comparison of GPM IMERG with nine satellite and reanalysis datasets. Remote Sensing of Environment, 240, 111697, doi: 1016/j.rse.2020.111697.
Wang, Y., Liu, T., & Liu, J. (2020). Synergistically Boosted Degradation of Organic Dyes by CeO2 Nanoparticles with Fluoride at low pH. ACS Applied Nano Materials, 3, 842-849. doi: 10.1021/acsanm.9b02356
Wiebe, A. J., & Rudolph, D. L. (2020). On the sensitivity of modelled groundwater recharge estimates to rain gauge network scale. Journal of Hydrology, 585, 124741. https://doi.org/10.1016/j.jhydrol.2020.124741.
Williams, B. S., Luo, B. & Lindenschmidt, K.-E. (2020). An ice-jam flood hazard assessment of a lowland river and its terminus inland delta. Natural Hazards, in-review
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, Earth Syst. Sci., 24, 655–672. https://doi.org/10.5194/hess-24-655-2020.

2019

Armstrong, R., Pomeroy, JW., & Martz, L. (2019). Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data. Hydrology and Earth System Sciences, 23(12): 4891-4907. doi: 10.5194/hess-23-4891-2019.
Bennett, A., Nijssen, B., Ou, G., Clark, M., & Nearing, G. (2019). Quantifying process connectivity with transfer entropy in hydrologic models. Water Resources Research, 55(6), 4613-4629. doi: 10.1029/2018WR024555.
Blöschl, G., Bierkens, M. F., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., ... & Stumpp, C. (2019). Twenty-three unsolved problems in hydrology (UPH)–a community perspective. Hydrological Sciences Journal, 64(10), 1141-1158, doi:10.1080/02626667.2019.1620507.
Bocaniov, S. A., Van Cappellen, P., & Scavia, D. (2019). On the role of a large shallow lake (Lake St. Clair, USA‐Canada) in modulating phosphorus loads to lake erie. Water Resources Research, 55, 10548– 10564. https://doi.org/10.1029/2019WR025019.
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, 37:1, 78-97.
Chegwidden, O. S., Nijssen, B., Rupp, D. E., Arnold, J. R., Clark, M. P., Hamman, J. J., ... & Pan, M. (2019). How do modeling decisions affect the spread among hydrologic climate change projections? Exploring a large ensemble of simulations across a diversity of hydroclimates. Earth's Future, 7(6), 623-637. doi: 10.1029/2018EF001047.
Cholette, M., Morrison, H., Milbrandt, J. A., & Thériault, J. M. (2019). Parameterization of the bulk liquid fraction on mixed-phase particles in the Predicted Particle Properties (P3) scheme: Description and Idealized simulations. Journal of the Atmospheric Sciences, 76(2), 561-582.
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, 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.
Fan, Y., Clark, M., Lawrence, D. M., Swenson, S., Band, L. E., Brantley, S. L., ... & Kirchner, J. W. (2019). Hillslope hydrology in global change research and Earth system modeling. Water Resources Research, 55(2), 1737-1772. doi: 10.1029/2018WR023903.
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.
Gharari, S., Clark, M., Mizukami, N., Wong, J. S., Pietroniro, A., & Wheater, H. (2019). Improving the representation of subsurface water movement in land models. Journal of Hydrometeorology, 20 (12): 2401–2418. doi: 10.1175/JHM-D-19-0108.1.
Guillaume, J. H., Jakeman, J. D., Marsili-Libelli, S., Asher, M., Brunner, P., Croke, B., ... & Stigter, J. 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 & Software, 119 (11): 418-432.
Krinner, G., Derksen, C., Essery, R., Flanner, M., Hagemann, S., Clark, M., ... & Ménard, C. B. (2018). ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks. Geoscientific Model Development, 11, 5027-5049. doi: 10.5194/gmd-11-5027-2018.
Kurkute, S., Li, Zhenhua., Li, Yanping., & Huo, F. (2019). Assessment and Projection of Water Budget over Western Canada using Convection Permitting WRF Simulations. Earth Syst. Sci. Discuss., 1–32. https://doi.org/10.5194/hess-2019-522
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., et al. (2019). The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty. Journal of Advances in Modeling Earth Systems, 11, 4245– 4287. https://doi.org/10.1029/2018MS001583
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.
Lehner, F., Wood, A. W., Vano, J. A., Lawrence, D. M., Clark, M. P., & Mankin, J. S. (2019). The potential to reduce uncertainty in regional runoff projections from climate models. Nature Climate Change, 9(12), 926-933. doi: 10.1038/s41558-019-0639-x.
Chen, L., Li, Y., Chen, F., Barlage, M., Zhang, Z., & Li, Z. (2019). Using 4-km WRF CONUS simulations to assess impacts of the surface coupling strength on regional climate simulation. Climate Dynamics, 53(9-10), 6397-6416. doi:10.1007/s00382-019-04932-9
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.
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.
Lindenschmidt, K. E., Carstensen, D., Fröhlich, W., Hentschel, B., Iwicki, S., Kögel, M., ... & Łoś, H. (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(1), 95.
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).
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.
Scaff, L., Prein, A. F., 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, 1-14. doi: 1007/s00382-019-04754-9.
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.
Lv, & 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.
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
Melsen, L. A., Teuling, A. J., Torfs, P. J., Zappa, M., Mizukami, N., Mendoza, P. A., ... & Uijlenhoet, R. (2019). Subjective modeling decisions can significantly impact the simulation of flood and drought events. Journal of hydrology, 568, 1093-1104. doi: 10.1016/j.jhydrol.2018.11.046.
Mizukami, N., Rakovec, O., Newman, A. J., Clark, M. P., Wood, A. W., Gupta, H. V., and Kumar, R. (2019). On the choice of calibration metrics for “high-flow” estimation using hydrologic models, Earth Syst. Sci., 23, 2601–2614, https://doi.org/10.5194/hess-23-2601-2019.
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.
Morales-Marin, L. A., Sanyal, P. R., Kadowaki, H., Li, Z., Rokaya, P., & 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 modelling & software, 114, 49-63.
Newman, A. J., Clark, M. P., Longman, R. J., & Giambelluca, T. W. (2019). Methodological intercomparisons of station-based gridded meteorological products: Utility, limitations, and paths forward. Journal of Hydrometeorology, 20(3), 531-547. doi: 10.1175/JHM-D-18-0114.1.
Poirier, É., Thériault, J. M., & Leriche, M. (2019). Role of sublimation and riming in the precipitation distribution in the Kananaskis Valley, Alberta, Canada. Hydrology & Earth System Sciences, 23(10).
Popp, A. L., Lutz, S. R., Khatami, S., van Emmerik, T. H. M., & Knoben, W. J. M. (2019). A Global Survey on the Perceptions and Impacts of Gender Inequality in the Earth and Space Sciences. Earth and Space Science, 6(8), 1460–1468, doi: 10.1029/2019EA000706
Rakovec, O., Mizukami, N., Kumar, R., Newman, A., Thober, S., Wood, A. W., et al. (2019). Diagnostic evaluation of large‐domain hydrologic models calibrated across the contiguous United States. Journal of Geophysical Research: Atmospheres, 2019; 124: 13991– 14007. https://doi.org/10.1029/2019JD030767.
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.
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.
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.
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.
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. L., Bonsal, B., Wheater, H., & Lindenschmidt, K. E. (2019). Modelling the effects of climate and flow regulation on ice‐affected backwater staging in a large northern river. River Research and Applications, 35(6), 587-600.
Sheikholeslami, R., Razavi, S., Gupta, H. V., Becker, W., & 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.
Sheikholeslami, R., Razavi, S., and A Haghnegahdar. (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.
Stewart, R. E., Szeto, K. K., Bonsal, B. R., Hanesiak, J. M., Kochtubajda, B., Li, Y., ... & Liu, Z. (2019). Summary and synthesis of Changing Cold Regions Network (CCRN) research in the interior of western Canada–Part 1: Projected climate and meteorology. Earth Syst. Sci. 23 (8), 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.
Swenson, S. C., Clark, M., Fan, Y., Lawrence, D. M., & Perket, J. (2019). Representing intra‐hillslope lateral subsurface flow in the community land model. Journal of Advances in Modeling Earth Systems, 11, 4044– 4065. https://doi.org/10.1029/2019MS001833
Vano, J. A., Arnold, J. R., Nijssen, B., Clark, M. P., Wood, A. W., Gutmann, E. D., ... & Lehner, F. (2018). DOs and DON'Ts for using climate change information for water resource planning and management: guidelines for study design. Climate Services, 12, 1-13. doi: 10.1016/j.cliser.2018.07.002.
Wang, Y., Yang, J., Zhao Y. & Liu J. (2019) Intentional hydrolysis to overcome the hydrolysis problem: detection of Ce (IV) by producing oxidase-like nanozymes with F-", Chemical Communications, 55, 13434-13437. doi: 10.1039/C9CC06167C
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. Earth Syst. Sci, 23(11), 4635-4659.
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. Earth Syst. Sci, 23(9), 3735-3764.
Zong, C., Liu, J., (2019) The Arsenic Binding Aptamer Cannot Bind Arsenic: Critical Evaluation of Aptamer Selection and Binding", Analytical Chemistry, 91, 10887-10893. doi: 10.1021/acs.analchem.9b02789