McGill.CA / Atmospheric and Oceanic Sciences / Department / Publications

2018

Faculty publications for 2018

 

Ariya, P.A.

  • M. Ganguly, S. Dib and P. A. Ariya, Fast, Cost‐effective and Energy Efficient Mercury Removal-Recycling Technology, Scientific Reports, 8:16255; 34172-­‐62018, 2018
  • Mayeesha Rahim, Devendra Pal, and Parisa A. Ariya, Physicochemical Studies of Aerosols at Montreal Trudeau Airport: The Importance of Airborne Nanoparticles Containing Emerging Metal Contaminants, Environmental Pollution, https://doi.org/10.1016/j.envpol.2018.12.050, 2018
  • lmaternah, M, Isamel, E,Abusalehm A, Altwanahm, A Ariya, P. A. The Gas‐Phase OzonolysisReaction Methylbutenol: A Mechanistic Study, International Journal of Quantum Chemistry, DOI: D10.1002/qua.25888, 2018
  • Mainak Ganguly; Dib, Simon; Kurien, Uday; Rangel-­‐Alvarado, Rodrigo; Miyahara, Yoichi and Parisa A. Ariya, "The Influence of Environmentally Relevant Physicochemical Conditions on a Highly Efficient Inorganic Ice Nucleating Particle", J. Phys. Chem. C.2018 ,122, 32, 18690- 18704
  • Parisa A. Ariya, Ashu Dastoor, Yevgen Nazarene, and Marc Amyot, "Do snow and ice alter urban air quality?", Atmospheric Environment, 186, 266-­‐268, 2018 (invited)
  • Chelsea E. Willis, Jane L. Kirk, Vincent L. St.Louis, Igor Lehnherr, Parisa A Ariya, and Rodrigo Benjamin Rangel-Alvarado, Sources of methylmercury to snowpacks of the Alberta Oil Sands Region: A study of in situ methylation and particulates, Environmental Science and Technology, 2018, 52 (2), pp 531–540
  • M. Ganguly, S. Dib, P. A. Ariya, The Purely Inorganic Highly Efficient Ice Nucleating Particle, American Chemical Society, ACS Omega, 2018, 3 (3), pp 3384–3395
  • Lin Si and P. A. Ariya, Recent advances in atmospheric mercury, Atmosphere, 9(2), 76, 2018
 

Bartello, P.

  • Chen, S. , M.-K. Yau, P. Bartello, and L. Xue, 2018, Bridging the condensation-collision size gap: a direct numerical simulation of continuous droplet growth in turbulent cloud. Atmos. Chem. Phys. 18, 7251-7262. 
  • Kafiabad, H. & Bartello, P., 2018, Spontaneous imbalance in the non-hydrostatic Boussinesq equations, J. Fluid Mech. 847, 614-643. 
 

Dufour, C.

  • Yamamoto, A., J. B. Palter, C. O. Dufour, S. M. Griffies, D. Bianchi, M. Claret, J. P. Dunne, I. Frenger, E. D. Galbraith (2018): Roles for the ocean mesoscale on the supply of mass and tracers to the Northern Hemisphere subtropical gyres. Journal of Geophysical Research: Oceans, 123. [https://doi.org/10.1029/2018JC013969].
  • Tarshish, N., R. Abernathey, C. Zhang, C. O. Dufour, I. Frenger, S. M. Griffies (2018): Identifying Lagrangian coherent vortices in a mesoscale ocean model. Ocean Modelling, 130, 15{28. [doi].
 

Fabry, F.

  • Feng, Y.-C., and F. Fabry, 2018: Quantifying the information of radar-estimated refractivity by dual-polarimetric and multiple elevation data. Journal of Atmospheric and Oceanic Technology, 35, 1897–1911, doi: 10.1175/JTECH-D-18-0008.1.
  • Kilambi, A., F. Fabry, and V. Meunier, 2018: A simple and effective method for separating meteorological from nonmeteorological targets using dual-polarization data. Journal of Atmospheric and Oceanic Technology, 35, 1415–1424, doi: 10.1175/JTECH-D-17-0175.1.
  • Vogel, J.M., and F. Fabry, 2018: Contrasting polarimetric observations of stratiform riming and nonriming events. Journal of Applied Meteorology and Climatology, 57, 457–476, doi: 10.1175/JAMC-D-16-0370.1.
  • Fabry, F., 2018: Information sparseness, a key obstacle to radar data assimilation in convection. In 10th European Conference on Radar in Meteorology and Hydrology (ERAD 2018): 1-6 July 2018, Ede-Wageningen, The Netherlands, Lotte de Vos et al. (Ed.), Royal Netherlands Meteorological Institute, 704–712, doi: DOI: 10.18174/454537.
 

Gyakum, J.R.

  • Bowley, K., E. H. Atallah, and J. R. Gyakum, 2018: Synoptic-scale zonal available potential energy increases in the Northern Hemisphere. J. Atmos. Sci., 75, 2385-2403.
  • Kirshbaum, D. J., T. M. Merlis, J. R. Gyakum, and R. McTaggart-Cowan, 2018: Sensitivity of idealized moist baroclinic waves to environmental temperature and moisture content. J. Atmos. Sci., 75, 337-360.
  • Stix, J., J. R. Gyakum, K. Caissy, A. Guadagno, A. Steeves-Fuentes, W. W. Yan, F. Roop, P.-A. Vungoc, C. Walker, A. Finkelstein, and L. Winer, 2018: A new massive open online course on natural disasters, Eos, 99, https://doi.org/10.1029/2018EO091699. Published on 01 February 2018.
 

Huang, Y.

  • Wang, J., R. Ni, J. Lin, X. Tan, D. Tong, H. Zhao, Q. Zhang, Z. Lu, D. Streets, D. Pan, Y. Huang, D. Guan, K. Feng, Y. Yan, Y. Hu, M. Liu, L. Chen, P. Liu, (2018), Socioeconomic and atmospheric factors affecting aerosol radiative forcing: Production-based versus consumption-based perspective, Atmos. Environ., https://doi.org/10.1016/j.atmosenv.2018.12.012.

  • Varon, D. J. and Jacob, D. J. and McKeever, J. and Jervis, D. and Durak, B. O. A. and Xia, Y. and Huang, Y., (2018), Quantifying methane point sources from fine-scale (GHGSat) satellite observations of atmospheric methane plumes, Atmos. Meas. Tech., 11, 5673-5686, https://doi.org/10.5194/amt-11-5673-2018.
  • Wang, X., Y. Wu, W. Tung, J. Richter, A. Glanville, S. Tilmes, C. Orbe, Y. Huang, Y. Xia, and D. Kinnison, (2018), The simulation of stratospheric water vapor over the Asian summer monsoon region in CESM1/WACCM models, J. Geophys. Res.-Atmos., https://doi.org/10.1029/2018JD028971
  • Kolly, A. and Y. Huang, (2018), The radiative feedback during the ENSO cycle: observations vs. models, J. Geophys. Res.-Atmos. 123, 9097–9108, https://doi.org/10.1029/2018JD028401
  • Feng, J. and Y. Huang, (2018), Cloud-assisted retrieval of lower stratospheric water vapor from nadir view satellite measurements, J. Atmos. and Oceanic Tech. https://doi.org/10.1175/JTECH-D-17-0132.1
  • Liu, F., J. Lu, O.A. Garuba, Y. Huang, L.R. Leung, B.E. Harrop, and Y. Luo, (2018), Sensitivity of surface temperature to oceanic forcing via q-flux Green’s function experiments Part II: Feedback decomposition and polar amplification. J. Climate, https://doi.org/10.1175/JCLI-D-18-0042.1
  • Liu, Y., M., Zhang, Z. Liu, Y. Xia, Y. Huang, Y. Peng, J. Zhu, (2018), A possible role of dust in resolving the Holocene temperature conundrum, Scientific Reports, https://doi.org/10.1038/s41598-018-22841-5
  • Xia, Y., Y. Huang, and Y. Hu (2018), On the climate impacts of upper tropospheric and lower stratospheric ozone, J. Geophys. Res.-Atmos. https://doi.org/10.1002/2017JD027398
  • Bishop-Williams, K., L. Berrang-Ford, J. Sargeant, D. Pearl, S. Lwasa, D. Namanya, V. Edge, A. Cunsolo, IHACC Research Team, Y. Huang, S. Harper, (2018), Understanding weather and hospital admissions patterns to inform climate change adaptation strategies in the healthcare sector in Uganda, International Journal of Environmental Research and Public Health, 15 (11), 2402, https://doi.org/10.3390/ijerph15112402
 

Kirshbaum, D.

  • Kirshbaum, D. J. and D. M. Schultz, 2018: Convective cloud bands downwind of mesoscale mountain ridges. J. Atmos. Sci., 75: 4265--4286. DOI: 10.1175/JAS-D-18-0211.1.
  • Chen, T.-C., M. K. Yau, and D. J. Kirshbaum, 2018: Assessment of conditional symmetric instability from global reanalysis data. J. Atmos. Sci., 75: 2425--2443.
  • Purnell, D. J. and D. J. Kirshbaum, 2018: Synoptic control over orographic precipitation distributions during the Olympics Mountains Experiment (OLYMPEX). Mon. Wea. Rev., 146: 1023-1044.
  • Serafin, S., B. Adler, J. Cuxart, S. F. J. De Wekker, A. Gohm, B. Grisogono, N. Kalthoff, D. J. Kirshbaum, M. W. Rotach, J. Schmidli, I Stiperski, Z. Vecenaj, D. Zardi, 2018: Exchange processes in the atmospheric boundary layer over mountainous terrain. Atmosphere, 9: 102 (32 Pp), doi:10.3390/atmos9030102.
  • Kirshbaum, D. J., B. Adler, N. Kalthoff, C. Barthlott, and S. Serafin, 2018: Moist orographic convection: physical mechanisms and links to surface-exchange processes. Atmosphere, 9: 80 (26 Pp), doi:10.3390/atmos9030080.
  • Kirshbaum, D. J., T. M. Merlis, J. R. Gyakum, and R. McTaggart-Cowan, 2018: Sensitivity of idealized moist baroclinic waves to environmental temperature and moisture content. J. Atmos. Sci., 75: 337-360.
 

Lin, H.

  • Yu, B., and H. Lin, 2018: Modification of the wintertime Pacific-North American pattern related North American climate anomalies by the Asian-Bering-North American teleconnection. Clim Dyn (2018). https://doi.org/10.1007/s00382-018-4586-4.
  • Yang, J., T. Zhu, M. Gao, H. Lin, B. Wang, and Q. Bao, 2018: Late-July barrier for subseasonalforecast of summer daily maximum temperature over Yangtze River Basin. Geophysical Research Letters, 45, 12,610-12,615. https://doi.org/ 10.1029/2018GL080963.
  • You, L., J. Gao, H. Lin, and S. Chen, 2018: Impact of intraseasonal oscillation combination modes on tropical cyclone genesis over the western North Pacific, International Journal of Climatology, in press.
  • Yao, Y., H. Lin, and Q. Wu, 2018: Linkage between interannual variation of the East Asian intraseasonal oscillation and Mei-Yu onset, J. Climate, DOI: 10.1175/JCLI-D-17-0873.1.
  • Lin, H., 2018: Predicting the dominant patterns of subseasonal variability of wintertime surface air temperature in extratropical Northern Hemisphere. Geophy. Res. Lett. , 45, 4381 – 4389.
  • Yu, B., and H. Lin, 2018: Coherent changes of wintertime surface air temperatures over North Asia and North America. Scientific Reports 8 (1), 5384.
  • Liang, P., H. Lin, and Y. Ding 2018: Dominant modes of subseasonal variability of East Asian summertime surface air temperature and their predictions. J. Climate. 31, 2729-2743. DOI:10.1175/JCLI-D-17-0368.
  • Lin, H., and G. Brunet 2018: Exratropical response to the MJO: nonlinearity and sensitivity to initial state. J. Atmos. Sci., 75, 219-234. doi:10.1175/JAS-D-17-0189.1.
  • Lin, H., R. Mo, F. Vitart, and C. Stan, 2018: Eastern Canada flooding 2017 and its subseasonal predictions, Atmosphere-Ocean, https://doi.org/10.1080/07055900.2018.1547679.
  • Lin, H., J. Frederiksen, D. Straus, and C. Stan, 2019: 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.

 

Merlis, T.

  • Merlis, T. M. and M. Henry 2018: Simple estimates of polar amplification in moist diffusive energy balance models. Journal of Climate, 31, 5811-5824, doi:10.1175/JCLI-D-17-0578.1.
  • Jansen, M. F., L.-P. Nadeau, and T. M. Merlis, 2018: Transient versus Equilibrium Response of the Ocean's Overturning Circulation to Warming. Journal of Climate, 31, 5147-5163, doi:10.1175/JCLI-D-17-0797.1.
  • O'Gorman, P. A., T. M. Merlis, and M. S. Singh, 2018: Increase in the skewness of extratropical vertical velocities with climate warming: fully nonlinear simulations versus moist baroclinic instability. Quarterly Journal of the Royal Meteorological Society, 144, 208-217, doi:10.1002/qj.3195.
  • Kirshbaum, D. J., T. M. Merlis, J. R. Gyakum, R. McTaggart-Cowan, 2018: Sensitivity of idealized moist baroclinic waves to environmental temperature. Journal of the Atmospheric Sciences, 75, 337-360, doi:10.1175/JAS-D-17-0188.1.
 

Preston, T.

  • Bain, A, Rafferty, A., and Preston, T. C.* (2018) Determining the size and refractive index of single aerosol particles using angular light scattering and Mie resonances. Journal of Quantitative Spectroscopy and Radiative Transfer. 21: 61 – 70.
  • Rafferty, A., and Preston, T. C.* (2018) Measuring the size and complex refractive index of an aqueous aerosol particle using electromagnetic heating and cavity-enhanced Raman scattering. Physical Chemistry Chemical Physics. 20: 17038 – 17047.
  • Lew, L. J. N., Ting, M. V., and Preston, T. C.* (2018) Determining the size and refractive index of homogeneous spherical aerosol particles using Mie resonance spectroscopy. Applied Optics. 57: 4601 – 4609.
 

Straub, D.

  • Asselin, O., P. Bartello and D.N. Straub, 2018. On Boussinesq dynamics near the Stropopause. J. Atmos. Sci., Vol. 75, No. 2, pp. 571-585. 
 

Tremblay, B.

  • Williams, J., L.B. Tremblay, 2018: The dependence of energy dissipation on spatial resolution in a viscous-plastic sea-ice model. Ocean Modeling, 150, 40-47, doi:10.1016/j.ocemod.2018.\-08.001.
  • Dmitrenko, I.A., Kirillov, S.A., Myers, P.G., Forest, A., Tremblay, B.L., Lukovich, J.V., Gratton, Y., Rysgaard, S. and Barber, D.G., 2018. Wind-forced depth-dependent currents over the eastern Beaufort Sea continental slope: Implications for Pacific water transport. Elementa Science of the Anthropocene, 6(1), p.66. DOI: http://doi.org/10.1525/elementa.321.
  • Auclair, G., L.B. Tremblay, 2018: The Role of Ocean Heat Transport in Rapid Sea Ice Declines in the Community Earth System Model Large Ensemble, Journal of Geophysical Research, Oceans, November, https://doi.org/10.1029/2018JC014525.
  • Klus, A., Prange, M., Varma, V., Tremblay, L. B., and Schulz, M., 2018: Abrupt cold events in the North Atlantic Ocean in a transient Holocene simulation, Climate of the Past, 14, 1165-1178, https://doi.org/10.5194/cp-14-1165-2018.
  • Kushner, P.J., Mudryk, L.R., Merryfield, W., Ambadan, J.T., Berg, A., Bichet, A., Brown, R., Derksen, C., Déry, S.J., Dirkson, A., Flato, G., Fletcher, C.G., Fyfe, J.C., Gillett, N., Haas, C., Howell, S., Laliberté, F., McCusker, K., Sigmond, M., Sospedra-Alfonso, R., Tandon, N.F., Thackeray, C., Tremblay, B., Zwiers, F.W.1, 2018: Canadian snow and sea ice: assessment of snow, sea ice, and related climate processes in Canada’s Earth system model and climate-prediction system, The Cryosphere, 12, 1137–1156, https://doi.org/10.5194/tc-12-1137-2018.
  • Le Fouest, V., Matsuoka, A., Manizza, M., Shernetsky, M., Tremblay, B., and Babin, M., 2018: Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling, 2018, Biogeosciences, 15, 1335-1346, https://doi.org/10.5194/bg-15-1335-2018.
  • Smith, K., L. Polvani, L.B. Tremblay, 2018: The Impact of Stratospheric Circulation Extremes on Minimum Arctic Sea Ice Extent, Journal of Climate, April, https://doi.org/10.1175/JCLI-D-17-0495.1.
 

Yau, M.K.

  • Chen, S. S., M.K. Yau, P. Bartello, 2018: Turbulent effects of collision efficiency and broadening of droplet size distribution in cumulus clouds. J. Atmos. Sci., 75, 203-217.
  • Chen, S. S., M.K. Yau, P. Bartello, and L. Xue, 2018: Bridging the condensation collision size gap: a direct numerical simulation of continuous droplet growth in turbulent cloud. Atmos. Chem. Phy., 18, 7251-7262.
  • Menelaou, K., and M. K. Yau, and T. K. Lai, 2018: A possible three-dimensional mechanism for oscillating wobbles in tropical cyclone-like vortices with concentric eyewalls. J. Atmos. Sci., 75, 2157-2174.
  • Chen, T. C., M. K Yau, and D. J. Kirshbaum, 2018: Assessment of conditional symmetric instability from global reanalysis data. J. Atmos. Sci., 75, 2425-2443.
  • Menelaou, K., and M. K. Yau, 2018: Spontaneous emission of spiral inertia-gravity waves and formation of elliptical eyewalls in tropical cyclone-like vortices – three dimensional nonlinear simulations. J. Atmos. Sci., 75, 2635-2657.
  • Paull, G., K. Menelaou, and M.K. Yau, 2018: Sensitivity of tropical cyclone intensification to axisymmetric heat sources: The role of low level heating and cooling from different microphysical processes. J. Atmos. Sci., 75, 4229-4246.
 

Zuend, A.

  • Lei, T., Zuend, A., Cheng, Y., Su, H., Wang, W., and Ge, M.: Hygroscopicity of organic surrogate compounds from biomass burning and their effect on the efflorescence of ammonium sulfate in mixed aerosol particles, Atmos. Chem. Phys., 18, 1045–1064, doi:10.5194/acp-18-1045-2018, 2018.
  • Pye, H. O. T., Zuend, A., Fry, J. L., Isaacman-VanWertz, G., Capps, S. L., Appel, K. W., Foroutan, H., Xu, L., Ng, N. L., and Goldstein, A. H.: Coupling of organic and inorganic aerosol systems and the effect on gas–particle partitioning in the southeastern US, Atmos. Chem. Phys., 18, 357–370, doi:10.5194/acp-18-357-2018, 2018.
  • Fossum, K. N., Ovadnevaite, J., Ceburnis, D., Dall’Osto, M., Marullo, S., Bellacicco, M., Simó, R., Liu, D., Flynn, M., Zuend, A., and O’Dowd, C.: Summertime Primary and Secondary Contributions to Southern Ocean Cloud Condensation Nuclei, Scientific Reports, 8, 13844, doi:10.1038/s41598-018-32047-4, 2018.
  • Davies, J. F., Zuend, A., and Wilson, K. R.: Technical Note: The Role of Evolving Surface Tension in the Formation of Cloud Droplets, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-1201, in review, 2018.

 

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