Statistics – Methodology
Scientist
Statistics
Methodology
Scientist
Climate Research Division, Environment Canada, Toronto, Ontario, Canada
ICAT and Department of Physics, Faculty of Sciences, University of Lisbon
Climate Research Division, Science and Technology Branch, Environment Canada, Toronto, Ontario, Canada
School of Oceanography, University of Washington, Seattle, Washington, USA
Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California, USA
A Two-Step Composite Likelihood Approach with Data Fusion for Max-Stable Processes in Spatial Extremes Modelling
Asymmetry in zonal phase propagation of ENSO sea surface temperature anomalies
Changes in North American extremes derived from daily weather data
Downscaling GCM information to regional scales: a non-parametric multivariate regression approach
Human influence on Arctic sea ice detectable from early 1990s onwards
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