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

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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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Wavelet analysis of precipitation extremes over India and teleconnections to climate indices

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References
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Journal ArticleDOI

El Niño–Southern Oscillation influence on winter maximum daily precipitation in California in a spatial model

TL;DR: In this article, a composite likelihood approach is used to assess risks concerning joint extremal events at network of sites with spatial dependence properly accounted for, and it is shown that the probability of extreme events occurring at multiple sites in the same season is much higher than what would be expected under the independence assumption.
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Long-term changes in total and extreme precipitation over China and the United States and their links to oceanic–atmospheric features

TL;DR: This article investigated the variations of total and extreme precipitations over China and the United States, focusing on long-term changes in longterm changes and explained the features of precipitation by changes in sea surface temperature (SST) and atmospheric circulation.
Journal ArticleDOI

Space-time structure of extreme precipitation in Europe over the last century

TL;DR: The authors investigated the space-time structure of extreme precipitation in Europe over the last century, using daily rainfall data from the European Climate Assessment & Dataset (ECA&D) archive.
Journal ArticleDOI

Non-stationary analysis of the frequency and intensity of heavy precipitation over Canada and their relations to large-scale climate patterns

TL;DR: In this paper, the authors analyzed long-term precipitation data of 463 gauging stations of Canada using non-stationary generalized extreme value distribution (GEV), Poisson distribution and generalized Pareto (GP) distribution.
Journal ArticleDOI

Wavelet analysis on the variability, teleconnectivity, and predictability of the seasonal rainfall of Taiwan

TL;DR: Using wavelet analysis, the variability and oscillations of November-January (NDJ) and January-March (JFM) rainfall (1974-2006) of Taiwan and seasonal sea surface temperature (SST) of the Pacific Ocean were analyzed.
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