Jacques Derome
McGill University
63 Papers
757 Citations
Jacques Derome is an academic researcher from McGill University. The author has contributed to research in topics: Forecast skill & Forcing (mathematics). The author has an hindex of 26, co-authored 63 publications.
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Papers
A System Simulation Approach to Ensemble Prediction
TL;DR: A method for producing error statistics from a representative ensemble of forecast states at the appropriate forecast time is proposed and examined and an attempt is made to simulate the process of error growth in a forecast model.
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An Observed Connection between the North Atlantic Oscillation and the Madden-Julian Oscillation
TL;DR: Based on the bivariate Madden-Julian oscillation (MJO) index defined by Wheeler and Hendon and 25 yr (1979-2004) of pentad data, the association between the North Atlantic Oscillation and the MJO on the intraseasonal time scale during the Northern Hemisphere winter season is analyzed as mentioned in this paper.
361
Forecast Skill of the Madden-Julian Oscillation in Two Canadian Atmospheric Models
TL;DR: The output of two global atmospheric models participating in the second phase of the Canadian Historical Forecasting Project (HFP2) is utilized to assess the forecast skill of the Madden-Julian oscillation (MJO) as discussed by the authors.
208
The Differences between Early and Midwinter Atmospheric Responses to Sea Surface Temperature Anomalies in the Northwest Atlantic
TL;DR: In this paper, the authors used an atmospheric global spectral model to show that the winter atmosphere in the midlatitudes is capable of reacting to prescribed sea surface temperature (SST) anomalies in the northwest Atlantic with two very different responses.
153
Seasonal predictions based on two dynamical models
Jacques Derome,Gilbert Brunet,André Plante,Normand Gagnon,George J. Boer,Francis W. Zwiers,Steven J. Lambert,Jian Sheng,Harold Ritchie +8 more
TL;DR: In this article, two dynamical models are used to perform a series of seasonal predictions, referred to as GCM2 and SEF, for climate studies and numerical weather prediction, respectively.
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