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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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Dynamic and thermodynamic changes conducive to the increased occurrence of extreme spring fire weather over western Canada under possible anthropogenic climate change

TL;DR: In this paper, the authors investigated thermodynamic and dynamic (atmospheric circulation) conditions, and teleconnections conducive to extreme wildfire climate of western Canada since 1871, and found that the extreme wildfire was very likely an outcome of anthropogenic effects that increase the occurrence of a persistent upper ridge associated with a warm and dry weather over western Canada.
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Five centuries of reconstructed streamflow in Athabasca River Basin, Canada: Non-stationarity and teleconnection to climate patterns.

TL;DR: The reconstructed streamflow data provides the full range of streamflow variability and recurrence characteristics of extremes spanned over five centuries from which it is useful for us to evaluate and manage the current water systems of ARB more effectively and a better risk analysis of future droughts of ARBs.
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Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

TL;DR: In this paper, the spatial patterns of all the indices except for consecutive dry days (CDD) and consecutive wet days (CWD) were similar to that of annual total precipitation with the high values in the east and the low value in the west.
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Dynamic changes of the dryness/wetness characteristics in the largest river basin of South China and their possible climate driving factors

TL;DR: Wang et al. as mentioned in this paper used the Standardized Precipitation Evapotranspiration Index (SPEI) and the run theory to extract the dryness/wetness characteristics (i.e., duration and severity).
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Spatio-temporal variability of dryness/wetness in the middle and lower reaches of the Yangtze River Basin and correlation with large-scale climatic factors

TL;DR: In this paper, the spatial and temporal variability of dryness/wetness based on the data obtained from 75 meteorological stations in the Yangtze River Basin (MLYR) for the period 1960-2015 was investigated.
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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