Severe Weather 2010-2019
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Published papers - 2019
Author(s) | Title | Internal copy | Editor Copy | Author Copy |
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Sun, L., Dabboor, M., Belair, S., Carrera, M. L., & Merzouki, A. (2019)
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Simulating C-band SAR footprint-scale backscatter over agricultural area with a physical land surface model,
Water Resources Research, 55(6), 4594-4612.
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MacKay, M. (2019)
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Incorporating Wind Sheltering and Sediment Heat Flux into 1-D Models of Small Boreal Lakes: A Case Study with the Canadian Small Lake Model V2.0
Geosci. Mod. Dev., 12, 3045-3054.
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Androsov, A., L. Nerger, R. Schnur, J. Schroter, A. Albertella, R. Rummel,
R. Savcenko, W. Bosch, S. Skachko, and S. Danilov, 2019:
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On the assimilation of absolute geodetic dynamic topography in a
global ocean model: impact on the deep ocean state.
Journal of Geodesy (2019) 93:141-157
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Brunet, G., and J.Methven, 2019:
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Identifying Wave Processes Associated With Predictability Across Time Scales: An Empirical Normal Mode Approach.
Chapter 4, Pages 65-90,
Sub-Seasonal to Seasonal Prediction:
The Gap Between Weather and Climate Forecasting, Editor(s): Andrew W. Robertson, Frederic Vitart, Elsevier, 2019.
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Cantet, P., M.A. Boucher, S. Lachance-Coutier, R. Turcotte, and V. Fortin, 2019:
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Using a Particle Filter to Estimate the Spatial Distribution of the Snowpack Water Equivalent.
J. Hydrometeor., 20, 577-594, https://doi.org/10.1175/JHM-D-18-0140.1
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Cao, Z., Q. Xu, and D.-L. Zhang, 2019:
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A new method to diagnose cyclone-cyclone interaction and its influences on precipitation.
J. Appl. Meteor. Climatol., 58, 1821-1851, https://doi.org/10.1175/JAMC-D-18-0344.1
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Caron, J., Y. Michel, T. Montmerle, and E. Arbogast, 2019:
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Improving Background-Error Covariances in a 3D Ensemble-Variational Data Assimilation System for Regional NWP.
Mon. Wea. Rev., 147, 135-151
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Carrera, M. L., B. Bilodeau, S. Belair, M. Abrahamowicz, A. Russell,
and X. Wang, 2019:
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Assimilation of Passive L-band Microwave Brightness Temperatures in the Canadian Land Data Assimilation System: Impacts on Short-Range Warm Season Numerical Weather Prediction.
J. Hydrometeor., 20, 1053-1079
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Champagne, C., J. White, A. Berg, S. Belair, and M.L. Carrera, 2019:
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Impact of Soil Moisture Data Characteristics on the Sensitivity to Crop Yields Under Drought and Excess Moisture Conditions.
Remote Sens. 2019, 11(4), 372; https://doi.org/10.3390/rs11040372
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Chikhar, K., J.-F. Lemieux, F. Dupont, F. Roy, G. C. Smith, M. Brady, S. E.L. Howell, and R. Beaini, 2019:
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Sensitivity of Ice Drift to Form Drag and Ice Strength Parameterization in a Coupled Ice-Ocean Model.
Atmosphere-Ocean, DOI: 10.1080/07055900.2019.1694859
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Cholette, M., H. Morrison, J.A. Milbrandt, and J.M. Theriault, 2019:
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Parameterization of the Bulk Liquid Fraction on Mixed-Phase Particles in the Predicted Particle Properties (P3) Scheme: Description and Idealized Simulations.
J. Atmos. Sci., 76, 561-582, https://doi.org/10.1175/JAS-D-18-0278.1
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Coelho, C.A.S., B.G. Brown, L.J. Wilson, M.P. Mittermaier, and B. Casati, 2019:
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Forecast Verification for S2S Timescales.
Chapter 16, Pages 337-361,
Sub-Seasonal to Seasonal Prediction:
The Gap Between Weather and Climate Forecasting, Editor(s): Andrew W. Robertson, Frederic Vitart, Elsevier, 2019.
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Collins, M.J., M. Ma, and M. Dabboor, 2019:
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On the Effect of Polarization and Incidence Angle on the Estimation of Significant Wave Height From SAR Data.
IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4529-4543, July 2019.
doi: 10.1109/TGRS.2019.2891426
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Dabboor, M. , L. Sun, M. L. Carrera, M. Friesen, A. Merzouki, H. McNairn, J. Powers, and S. Belair, 2019:
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Comparative Analysis of High-Resolution Soil Moisture Simulations from the Soil, Vegetation, and Snow (SVS) Land Surface Model Using SAR Imagery Over Bare Soil.
Water 2019, 11, 542; doi:10.3390/w11030542
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Dabboor, M., S. Singha, B. Montpetit, B. Deschamps, and D. Flett, 2019:
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Pre-Launch Assessment of RADARSAT
Constellation Mission Medium Resolution Modes
for Sea Oil Slicks and Lookalike Discrimination.
Canadian Journal of Remote Sensing, 45:3-4, 530-549, DOI: 10.1080/07038992.2019.1659722
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Dabboor, M., S. Banks, L. White, B. Brisco, A. Behnamian, Z. Chen, and K. Murnaghan, 2019:
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Comparison of Compact and Fully Polarimetric SAR for Multitemporal Wetland Monitoring.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 5, pp. 1417-1430, May 2019.
doi: 10.1109/JSTARS.2019.2909437
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Davidson, F., A. Alvera-Azcarate, A. Barth, G. B. Brassington,
E. P. Chassignet, E. Clementi, P. De Mey-Fremaux,
P. Divakaran, C. Harris, F. Hernandez, P. Hogan,
L. R. Hole, J. Holt, G. Liu, Y. Lu, P. Lorente,
J. Maksymczuk, M. Martin, A. Mehra, A. Melsom, H. Mo,
A. Moore, P. Oddo, A. Pascual, A.-C. Pequignet,
V. Kourafalou, A. Ryan, J. Siddorn, G. Smith, D. Spindler,
T. Spindler, E. V. Stanev, J. Staneva, A. Storto,
C. Tanajura, P. N. Vinayachandran, L. Wan, H. Wang, Y. Zhang,
X. Zhu, and Z. Zu, 2019:
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Synergies in Operational Oceanography: The intrinsic need for Sustained Ocean Observations.
Front. Mar. Sci. 6:450.
doi: 10.3389/fmars.2019.00450
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Davison, B., V. Fortin, A. Pietroniro, M. K. Yau, and R. Leconte, 2019:
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Parameter-state ensemble thinning for short-term hydrological prediction.
Hydrol. Earth Syst. Sci., 23, 741-762, https://doi.org/10.5194/hess-23-741-2019, 2019.
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DeFlorio, M. J., D. E. Waliser, F. M. Ralph, B. Guan, A. Goodman, P. B. Gibson, S. Asharaf, L. Delle Monache, Z. Zhang, A. C. Subramanian, F. Vitart, H. Lin, and A. Kumar, 2019:
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Experimental Subseasonal-to-Seasonal (S2S) Forecasting of Atmospheric Rivers Over the Western United States.
Journal of Geophysical Research: Atmospheres, 124, 11242-11265. https://doi.org/10.1029/2019JD031200
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Dirkson, A., B. Denis, and W.J. Merryfield, 2019:
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A Multimodel Approach for Improving Seasonal Probabilistic Forecasts of Regional Arctic Sea Ice.
Geophysical Research Letters,46,10,844-10,853, https://doi.org/10.1029/2019GL083831
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Elvidge, A. D., I. Sandu, N. Wedi, S. B. Vosper, A. Zadra, S. Boussetta, F. Bouyssel, A. van Niekerk, M. A. Tolstykh, and M. Ujiie, 2019:
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Uncertainty in the Representation of Orography in Weather and Climate Models and Implications for Parameterized Drag.
J. Adv. Model. Earth Syst., 11, 2567-2585. doi:https://doi.org/10.1029/2019MS001661.
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Errera, Q., S. Chabrillat, Y. Christophe, J. Debosscher, D. Hubert, W. Lahoz,
M. L. Santee, M. Shiotani, S. Skachko, T. von Clarmann, and K. Walker: 2019
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Technical note: Reanalysis of Aura MLS chemical observations.
Atmos. Chem. Phys., 19, 13647-13679, 2019
https://doi.org/10.5194/acp-19-13647-2019
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Feng, P.-N., and H. Lin, 2019:
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Modulation of the MJO-related teleconnections by the QBO.
Journal of Geophysical Research: Atmospheres, 124, 12022-12033. https://doi.org/10.1029/2019JD030878
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Fujii, Y., E. Remy, H. Zuo, P. Oke, G. Halliwell, F. Gasparin, M. Benkiran, N. Loose, J. Cummings,
J. Xie, Y. Xue, S. Masuda, G.C. Smith, M. Balmaseda, C. Germineaud, D.J. Lea,
G. Larnicol, L. Bertino, A. Bonaduce, P. Brasseur, C. Donlon, P. Heimbach,
Y. Kim, V. Kourafalou, P.Y. Le Traon, M. Martin, S. Paturi, B. Tranchant, and N. Usui, 2019:
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Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks.
Front. Mar. Sci. 6:417.
doi: 10.3389/fmars.2019.00417
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Garnaud, C., S. Belair, M. L. Carrera, C. Derksen, B. Bilodeau, M. Abrahamowicz, N. Gauthier, and V. Vionnet, 2019:
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Quantifying Snow Mass Mission Concept Trade-Offs Using an Observing System Simulation Experiment.
J. Hydrometeor., 20, 155-173, https://doi.org/10.1175/JHM-D-17-0241.1
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Han, B., J. Fan, A. Varble, H. Morrison, C.R. Williams, B. Chen, X. Dong, S.E. Giangrande, A. Khain,
E. Mansell, J.A. Milbrandt, J. Shpund, and G. Thompson, 2019:
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Cloud-Resolving Model Intercomparison of an MC3E Squall Line Case: Part II. Stratiform Precipitation Properties.
Journal of Geophysical Research: Atmospheres, 124, 1090-1117. https://doi.org/10.1029/2018JD029596
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Houtekamer, P.L., M. Buehner , M. De La Chevrotiere, 2019:
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Using the hybrid gain algorithm to sample data assimilation uncertainty.
Quart. J. Roy. Meteor. Soc., 2019, 145 (Suppl. 1): 35-56. https://doi.org/10.1002/qj.3426
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Husain, S.Z., C. Girard, A. Qaddouri, and A. Plante, 2019
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A New Dynamical Core of the Global Environmental Multiscale (GEM) Model with a Height-Based Terrain-Following Vertical Coordinate.
Mon. Wea. Rev., 147, 2555-2578, https://doi.org/10.1175/MWR-D-18-0438.1
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Johnson, M., Y. Jung, J.A. Milbrandt, H. Morrison, and M. Xue, 2019:
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Effects of the Representation of Rimed Ice in Bulk Microphysics Schemes on Polarimetric Signatures.
Mon. Wea. Rev., 147, 3785-3810, https://doi.org/10.1175/MWR-D-18-0398.1
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Jouan, C., and J. A. Milbrandt, 2019:
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The importance of the ice-phase microphysics parameterization for simulating
the effects of changes to CCN concentrations in deep convection.
J. Atmos. Sci., 76, 1727-1752, https://doi.org/10.1175/JAS-D-18-0168.1
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Koltzow, M., B. Casati, E. Bazile, T. Haiden, and T. Valkonen, 2019:
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A NWP model inter-comparison of surface weather parameters in the European Arctic during the Year of Polar Prediction Special Observing Period Northern Hemisphere 1
Wea. Forecasting, 34, 959-983, https://doi.org/10.1175/WAF-D-19-0003.1.
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Komarov, A.S., and M. Buehner, 2019:
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Improved Retrieval of Ice and Open Water From Sequential RADARSAT-2 Images.
IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 6, pp. 3694-3702, June 2019.
doi: 10.1109/TGRS.2018.2886685
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Komarov, A. S., and M. Buehner, 2019:
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Detection of first-year and multi-year sea ice from dual-polarization SAR images under cold conditions.
IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 9109-9123, Nov. 2019, doi: 10.1109/TGRS.2019.2924868.
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Lin, H., J. Frederiksen, D. Straus, and C. Stan, 2019:
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Tropical-Extratropical Interactions
and Teleconnections.
Chapter 7, Pages 143-164,
Sub-Seasonal to Seasonal Prediction:
The Gap Between Weather and Climate Forecasting, Editor(s): Andrew W. Robertson, Frederic Vitart, Elsevier, 2019.
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Lin, H., 2019:
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Long-lead ENSO control of the boreal summer intraseasonal oscillation in the East Asian-western North Pacific region.
npj Climate and Atmospheric Science (2019) 2:31 ; https://doi.org/10.1038/s41612-019-0088-2
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Luan, V. T., J. A. Pudykiewicz, and D. R. Reynolds, 2019:
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Further development of efficient and accurate time integration schemes for meteorological models.
Journal of Computational Physics, 376, 817-837
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Macpherson, S., and S. Laroche, 2019:
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Estimation of ground-based GNSS Zenith Total Delay temporal observation error correlations using data from the NOAA and E-GVAP networks.
Quart. J. Roy. Meteor. Soc., 145, 513-529
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Mai, J., K.C. Kornelsen, B.A. Tolson, V. Fortin, N. Gasset, D. Bouhemhem, D. Schäfer, M. Leahy, F. Anctil, and P. Coulibaly, 2019:
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The Canadian Surface Prediction Archive (CaSPAr): A Platform to Enhance Environmental Modeling in Canada and Globally.
Bull. Amer. Meteor. Soc., 0, https://doi.org/10.1175/BAMS-D-19-0143.1
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Matte, P., Y. Secretan, and J. Morin, 2019:
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Drivers of residual and tidal flow variability in the St. Lawrence fluvial estuary: Influence on tidal wave propagation.
Continental Shelf Research, 174: 158-173, https://doi.org/10.1016/j.csr.2018.12.008
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McTaggart-Cowan, R., P.A. Vaillancourt, A. Zadra, L. Separovic, S. Corvec, and D. Kirshbaum, 2019:
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A Lagrangian Perspective on Parameterizing Deep Convection.
Mon. Wea. Rev., 147, 4127-4149, https://doi.org/10.1175/MWR-D-19-0164.1
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McTaggart-Cowan, R., P. A. Vaillancourt, A. Zadra, S. Chamberland, M.
Charron, S. Corvec, J. A. Milbrandt, D. Paquin-Ricard, A. Patoine, M.
Roch, L. Separovic, and J. Yang: 2019:
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Modernization of atmospheric physics parameterization in Canadian NWP.
Journal of Advances in Modeling Earth Systems, 11, 3593-3635. https://doi.org/10.1029/2019MS001781
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Menard, R., P. Gauthier, Y. Rochon, A. Robichaud, J. de Grandpre, Y.
Yang, C. Charrette, and S. Chabrillat, 2019:
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Coupled Stratospheric Chemistry-Meteorology Data
Assimilation. Part II: Weak and Strong Coupling.
Atmosphere 2019, 10(12), 798; https://doi.org/10.3390/atmos10120798
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Mills, B., J. Andrey, B. Doberstein, S. Doherty, and J. Yessis, 2019:
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Changing patterns of motor vehicle collision risk during winter storms: A new look at a pervasive problem.
Accident Analysis & Prevention, 127:186-197. https://doi.org/10.1016/j.aap.2019.02.027
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Misumi, R., Y. Shoji, K. Saito, H. Seko, N. Seino, S. Suzuki, Y. Shusse, K. Hirano, S. Belair, V. Chandrasekar, D. Lee, A.J. Pereira Filho, T. Nakatani, and M. Maki, 2019:
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Results of the Tokyo Metropolitan Area Convection Study for Extreme Weather Resilient Cities (TOMACS).
Bull. Amer. Meteor. Soc., 100, 2027-2041, https://doi.org/10.1175/BAMS-D-18-0316.1
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Mo, R., and H. Lin, 2019:
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Tropical-Mid-Latitude Interactions: Case Study of an Inland-Penetrating Atmospheric River During a Major Winter Storm Over North America
Atmosphere-Ocean, DOI: 10.1080/07055900.2019.1617673
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Mo, R., M.M. Brugman, J.A. Milbrandt, J. Goosen, Q. Geng, C. Emond, J. Bau, and A. Erfani, 2019:
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Impacts of Hydrometeor Drift on Orographic Precipitation: Two Case Studies of
Landfalling Atmospheric Rivers in British Columbia, Canada.
Wea. Forecasting, 34, 1211-1237, https://doi.org/10.1175/WAF-D-18-0176.1
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Paukert, M., J. Fan, P.J. Rasch, H. Morrison, J.A. Milbrandt, J. Shpund, and A. Khain, 2019:
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Three-moment representation of rain in a bulk microphysics model.
Journal of Advances in Modeling Earth Systems, 11, 257-277. https://doi.org/10.1029/2018MS001512
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Pierre, A., S. Jutras, C. Smith, J. Kochendorfer, V. Fortin, and F. Anctil, 2019:
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Evaluation of Catch Efficiency Transfer Functions for Unshielded and Single-Alter-Shielded Solid Precipitation Measurements.
J. Atmos. Oceanic Technol., 36, 865-881, https://doi.org/10.1175/JTECH-D-18-0112.1
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Pietroniro, A., D. L. Peters, D. Yang, J.-M. Fiset, R. Saint-Jean, V. Fortin, R. Leconte, J. Bergeron, G. Llanet Siles, M. Trudel, C. Garnaud,
P. Matte, L. C. Smith, C. J. Gleason, and T. M. Pavelsky, 2019:
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Canada's Contributions to the SWOT Mission - Terrestrial Hydrology(SWOT-C TH).
Canadian Journal of Remote Sensing, 45:2, 116-138, DOI: 10.1080/07038992.2019.1581056
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Poterjoy, J., L. Wicker, and M. Buehner, 2019:
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Progress toward the Application of a Localized Particle Filter for Numerical Weather Prediction.
Mon. Wea. Rev., 147, 1107-1126, https://doi.org/10.1175/MWR-D-17-0344.1
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Rabault, J., G. Sutherland, A. Jensen, K. Christensen, and A. Marchenko, 2019:
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Experiments on wave propagation in grease ice: Combined wave gauges and particle image velocimetry measurements.
Journal of Fluid Mechanics, 864, 876-898. doi:10.1017/jfm.2019.16
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Ren, S., C. Stroud, S. Belair, S. Leroyer, M. Moran, J. Zhang, A. Akingunola, and P. Makar, 2019:
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Impact of urban land use and anthropogenic heat on air quality in urban environments.
Book chapter
(24) in Air Pollution ModelI, edited by C. Mensink, W. Gong, and A. Hakami (Springer).
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Robbins J.C., C. Cunningham, R. Dankers, M. DeGennaro, G. Dolif, R. Duell, V. Marchezini, B. Mills, J.P. Sarmiento, A. Silver, R. Trajber, and A. Watkins, 2019:
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Communication and Dissemination of Forecasts and Engaging User Communities.
Chapter 19, Pages 399-419,
Sub-Seasonal to Seasonal Prediction:
The Gap Between Weather and Climate Forecasting, Editor(s): Andrew W. Robertson, Frederic Vitart, Elsevier, 2019.
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Sandu, I., A. van Niekerk, T.G. Shepherd, S. Vosper, A. Zadra, J. Bacmeister, A. Beljaars, A. Brown, A. Dornbrack, N. McFarlane, F. Pithan, and G. Svensson, 2019:
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Impacts of orography on large-scale atmospheric circulation.
npj Climate and Atmospheric Science, Volume 2, Article number: 10 (2019)
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Shahabadi, M.B., S. Belair, B. Bilodeau, M.L. Carrera, and L. Garand, 2019:
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Impact of Weak Coupling between Land and Atmosphere Data Assimilation Systems on Environment and Climate Change Canada's Global Deterministic Prediction System.
Wea. Forecasting, 34, 1741-1758, https://doi.org/10.1175/WAF-D-19-0073.1
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Skachko, S., M. Buehner, S. Laroche,
E. Lapalme,
G. Smith, F. Roy,
D. Surcel-Colan,
J.-M. Belanger,
L. Garand, 2019:
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Weakly coupled atmospheric-ocean data assimilation in the Canadian global prediction system (v1)
Geosci. Model Dev., 12, 5097-5112, 2019
https://doi.org/10.5194/gmd-12-5097-2019
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Smith, G.C., R. Allard, M. Babin, L. Bertino, M. Chevallier, G. Corlett, J. Crout, F. Davidson, B. Delille, S.T. Gille, D. Hebert, P. Hyder, J. Intrieri, J. Lagunas, G. Larnicol, T. Kaminski, B. Kater, F. Kauker, C. Marec, M. Mazloff, E.J. Metzger, C. Mordy, A. O'Carroll, S.M. Olsen, M. Phelps, P. Posey, P. Prandi, E. Rehm, P. Reid, I. Rigor, S. Sandven, M. Shupe, S. Swart, O.M. Smedstad, A. Solomon, A. Storto, P. Thibaut, J. Toole, K. Wood, J. Xie., Q. Yang, and the WWRP PPP Steering Group, 2019:
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Polar Ocean Observations: A Critical Gap in the Observing System and its effect on Environmental Predictions from Hours to a Season.
Front. Mar. Sci. 6:429.
doi: 10.3389/fmars.2019.00429
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Soontiens, N., C. Binding, V. Fortin, M. Mackay, and Y.R. Rao, 2019:
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Algal bloom transport in Lake Erie using remote sensing and hydrodynamic modelling: Sensitivity to buoyancy velocity and initial vertical distribution.
Journal of Great Lakes Research, 45(3): 556-572.
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Soulard, N., H. Lin, and B. Yu, 2019:
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The changing relationship between
ENSO and its extratropical
response patterns.
Scientific Reports (2019) 9:6507 https://doi.org/10.1038/s41598-019-42922-3
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Stanford, M. W., H. Morrison, A. Varble, J. Berner, W. Wu, G. McFarquhar, and J. Milbrandt, 2019:
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Sensitivity of simulated deep convection to a stochastic ice microphysics framework.
Journal of Advances in Modeling Earth Systems, 11, 3362-3389. https://doi.org/10.1029/2019MS001730
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Stieb, D., J. Yao, S. B. Henderson, L. Pinault, M. H. Smith-Doiron, A. Robichaud, A. van Donkelaar, R.V. Martin, R. Menard, and J. Brook, 2019:
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Variability in ambient ozone and fine particle concentrations and population susceptibility among Canadian health regions.
Journal of Public Health, https://doi.org/10.17269/s41997-018-0169-8
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Storto, A., S. Masina, S. Simoncelli, D. Iovino, A. Cipollone, M. Drevillon, Y. Drillet,
K. von Schuckman, L. Parent, G. Garric, E. Greiner, C. Desportes, H. Zuo, M.A. Balmaseda, and K.A. Peterson, 2019:
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The added value of the multi-system spread information for ocean heat content and steric sea level investigations in the CMEMS GREP ensemble reanalysis product.
Climate Dynamics (2019) 53:287-312, https://doi.org/10.1007/s00382-018-4585-5
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Storto, A., A. Alvera-Azcarate, M. A. Balmaseda, A. Barth, M. Chevallier, F. Counillon, C. M. Domingues, M. Drevillon,
Y. Drillet, G. Forget, G. Garric, K. Haines, F. Hernandez, D. Iovino, L. C. Jackson, J.-M. Lellouche, S. Masina, M. Mayer, P. R. Oke,
S. G. Penny, K. A. Peterson, C. Yang, and H. Zuo, 2019:
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Ocean Reanalyses: Recent Advances and Unsolved Challenges.
Front. Mar. Sci. 6:418.
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