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Francis W. Zwiers

Researcher at Environment Canada

Publications -  32
Citations -  6757

Francis W. Zwiers is an academic researcher from Environment Canada. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 26, co-authored 32 publications receiving 6110 citations. Previous affiliations of Francis W. Zwiers include University of Victoria.

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The Influence of Large-Scale Climate Variability on Winter Maximum Daily Precipitation over North America

TL;DR: In this article, the generalized extreme value (GEV) distribution is fitted to winter season daily maximum precipitation over North America, with indices representing El Nino-Southern Oscillation (ENSO), the Pacific decadal oscillation (PDO), and the North Atlantic Oscillations (NAO) as predictors.
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The impact of combined ENSO and PDO on the PNA climate: a 1,000-year climate modeling study

TL;DR: This article analyzed the atmospheric response to the combined Pacific interannual ENSO and decadal-interdecadal PDO variability, with a focus on the Pacific-North American (PNA) sector, using a 1,000-year long integration of the Canadian Center for Climate Modelling and Analysis (CCCma) coupled climate model.
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Trends and variability of storminess in the Northeast Atlantic region, 1874–2007

TL;DR: In this article, the authors extended the previous studies on storminess conditions in the northeast North Atlantic-European region and analyzed the period of surface pressure data analyzed from 1881-1998 to 1874-2007, showing that storminess in this region has undergone substantial decadal or longer time scale fluctuations, with considerable seasonal and regional differences.
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Evaluation of proxy-based millennial reconstruction methods

TL;DR: A new method for reconstruction that is based on a state-space time series model and Kalman filter algorithm that can incorporate additional, non-temperature, information into the reconstruction, such as the estimated response to external forcing, thereby permitting a simultaneous reconstruction and detection analysis as well as future projection.
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Multimodel Detection and Attribution of Extreme Temperature Changes

TL;DR: In this article, the authors conduct optimal fingerprinting analyses using 12 climate models integrated under anthropogenic-only forcing or natural plus anthropogenic forcing to detect anthropogenic influence on extreme temperature changes during the latter half of the twentieth century.