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Open AccessJournal ArticleDOI

Wavelet analysis of precipitation extremes over Canadian ecoregions and teleconnections to large‐scale climate anomalies

TLDR
In this article, the authors used wavelet analysis to detect significant interannual and interdecadal oscillations and their teleconnections to large-scale climate anomalies such as El Nino-Southern Oscillation (ENSO), Pacific Decadal Oscillations (PDO), and North Atlantic OscillATION (NAO), monthly and seasonal maximum daily precipitation (MMDP and SMDP) from 131 stations across Canada were analyzed by using variants of wavelet analyses.
Abstract
To detect significant interannual and interdecadal oscillations and their teleconnections to large-scale climate anomalies such as El Nino–Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), and North Atlantic Oscillation (NAO), monthly and seasonal maximum daily precipitation (MMDP and SMDP) from 131 stations across Canada were analyzed by using variants of wavelet analysis. Interannual (1–8 years) oscillations were found to be more significant than interdecadal (8–30 years) oscillations for all selected stations, and the oscillations are both spatial and time-dependent. Similarly, the significant wavelet coherence and the phase difference between leading principal components of monthly precipitation extremes and climate indices were highly variable in time and in periodicity, and a single climate index explains less than 40% of the total variability. Partial wavelet coherence analysis shows that both ENSO and PDO modulated the interannual variability and PDO modulated the interdecadal variability, of MMDP over Canada. NAO is correlated with the western MMDP at interdecadal scale and the eastern MMDP at interannual scale. The composite analysis shows that precipitation extremes at about three fourths of the stations have been significantly influenced by ENSO and PDO patterns, while about one half of the stations by the NAO patterns. The magnitude of SMDP in extreme El Nino years, and extreme PDO event of positive phase, was mostly lower (higher) over the Canadian Prairies in summer and winter (spring and autumn) than in extreme La Nina years. Overall, the degree of influence of large-scale climate patterns on Canadian precipitation extremes varies by season and by region.

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Citations
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Journal ArticleDOI

Projected Changes of Precipitation Extremes in North America using CMIP6 Multi-Climate Model Ensembles

TL;DR: In this article , a comprehensive set of extreme precipitation indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI) over North America (NA) using 18 selected higher-resolution GCMs of the sixth Coupled Model Intercomparison Project (CMIP6) were evaluated in their historical simulations (1981-2010) against those estimated from in-situ (Daymet) and reanalysis (NARR) dataasets, followed by the projected changes in precipitation extremes of NA in response to climate warming (SSP1-2.6, SSP2-4.5 and SSP5-8.5) scenarios of CMIP6 in terms of temporal variations, spatial distributions, seasonal patterns and model agreement over the 21st century relative to 1981-2010.
Journal ArticleDOI

Influence of low frequency variability modes on spatiotemporal patterns of temperature and precipitation in Northwestern North America

TL;DR: In this paper , a comprehensive analysis of the influence of low-frequency variability modes (LFVMs) on the average and extreme temperature and precipitation in the extended winter (November-February) over Northwestern North America (NWNA).
References
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Journal ArticleDOI

A Practical Guide to Wavelet Analysis.

TL;DR: In this article, a step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Nino-Southern Oscillation (ENSO).
Journal ArticleDOI

Application of the cross wavelet transform and wavelet coherence to geophysical time series

TL;DR: It is demonstrated how phase angle statistics can be used to gain confidence in causal relation- ships and test mechanistic models of physical relationships between the time series and Monte Carlo methods are used to assess the statistical significance against red noise backgrounds.
MonographDOI

Regional Frequency Analysis: An Approach Based on L-Moments

TL;DR: In this paper, the authors present a regional L-moments algorithm for detecting homogeneous regions in a set of homogeneous data points and then select a frequency distribution for each region.
Journal ArticleDOI

North American Precipitation and Temperature Patterns Associated with the El Niño/Southern Oscillation (ENSO)

TL;DR: In this article, the authors describe an investigation of the typical North American precipitation and temperature patterns associated with the El Nino/Southern Oscillation (ENSO) and analyze monthly surface temperature and precipitation data using a method designed to identify regions of the globe that have responses associated with ENSO.
Journal ArticleDOI

Temperature and precipitation trends in Canada during the 20th century

TL;DR: In this paper, the authors analyzed trends in Canadian temperature and precipitation during the 20th century using recently updated and adjusted station data and found that from 1900 to 1998, the annual mean temperature has increased between 0.5 and 1.5°C in the south.
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