Prof. Jacques Derome
Dynamical Meteorology and Climatology
Office: Burnside Hall 712
Tel.: (514) 398-6079
Fax: (514) 398-6115
jacques [dot] derome [at] mcgill [dot] ca (Email)
My main research interest centers on the interaction between atmospheric and oceanic processes taking place in the tropical regions on the one hand, and those of the mid-latitudes on the other hand. For example, the El Niño and La Niña phenomena in the tropical Pacific region, which typically last several months, are known to influence the mean-seasonal atmospheric conditions over vast regions of the mid-latitudes. Research projects conducted by my group have examined not only the importance of that influence, but also how well state-of-the art models can reproduce this influence.
Another interaction between the tropical and mid-latitude regions is associated with a tropical phenomenon known as the Madden-Julian oscillation (MJO). This is an organized region of atmospheric convection that typically starts in the Indian Ocean region and propagates eastward (near the equator) with a time scale of 30- to 60 days. Recent research has shown that as the MJO travels eastward it propagates its influence to the north and east, and affects the weather of North America and the North Atlantic over a period of order two weeks. Naturally it would be desirable to be able to predict how a given MJO will affect the weather of the mid-latitudes a week or so in advance. Current research examines how modern numerical weather prediction models fare in this type of prediction and statistical prediction models are being tested and compared with the more complex (physics-based) weather prediction models.
Some recent publications
Yao, W., H. Lin and J. Derome, 2011: Submonthly forecasting of winter surface air temperature in North America based on tropical organized convection. Atmosphere-Ocean, 49, 51-60, DOI 10.1080/07055900.2011.556882.
Jia, X., H. Lin and J. Derome, 2010: Improving seasonal forecast skill of North American surface air temperature in fall using a post-processing method. Mon. Wea. Rev., 138, 1843-1857, DOI: 10.1175/2009MWR3154.1
Kharin, V.V., Q. Teng, F.W. Zwiers, X. Zhang, G.J. Boer, J. Derome and J.S. Fontecilla, 2009: Skill assessment of seasonal hindcasts from the Canadian Historical Forecast Project. Atmosphere-Ocean, 47, 204-223.
Jia, X., H. Lin and J. Derome, 2009: The influence of tropical Pacific forcing on the Arctic Oscillation. Clim. Dyn., 32, 495-509, DOI 10.1007/s00382-008-0401-y
Lin, H., G. Brunet and J. Derome, 2008: An observed connection between the North Atlantic Oscillation and the Madden-Julian Oscillation. J. Climate, 22, 364-380.
Lin, H., G. Brunet and J. Derome, 2008: Forecast skill of the Madden-Julian Oscillation in two Canadian atmospheric models. Mon. Wea. Rev., 136, 4130-4149.
Jia, X., H. Lin and J. Derome, 2008: The influence of tropical Pacific forcing on the Arctic Oscillation. Clim. Dyn., 15 pp., DOI 10.1007/s00382-008-0401-y.
Lin, H., G. Brunet and J. Derome, 2007: Seasonal forecasts of Canadian winter precipitation by post-processing GCM integrations. Mon. Wea. Rev., 136, 769-783.
Jia, X., J. Derome and H. Lin, 2007: Comparison of the life cycles of the NAO using different definitions. J. Climate, 20, 5992-6011.
Tang, Y., H. Lin, J. Derome and M.K. Tippett, 2007: Measuring the reliability of seasonal predictions for the Arctic Oscillation. J. Climate, 20, 4733-4750.
Lin, H., G. Brunet and J. Derome, 2007: Intraseasonal variability in a dry atmospheric model. J. Atmos. Sci., 64, 2422-2441.
Lin, H., J. Derome and G. Brunet, 2007: The nonlinear transient atmospheric response to tropical forcing. J. Climate, 5642-5665.
Lin, H., J. Derome, and G. Brunet, 2005: Correction of atmospheric seasonal forecasts using the leading ocean-forced spatial patterns. Goephys. Res. Lett., 32, L14804, doi: 0:1029/2005GL023060.
Lin, H., J. Derome, and G. Brunet, 2005: Tropical Pacific link to the two dominant modes of atmospheric variability. Geophys. Res. Lett., 32, No. 3, L0380110.1029/2004GL021495.
Derome, J., H. Lin, and G. Brunet, 2005: Seasonal forecasting with a simple General Circulation Model: predictive skill in the AO and PNA. J. Climate, 18, 597-609.