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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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Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China

TL;DR: In this article, the authors investigated the spatiotemporal characteristics of droughts on different growth stages of maize over Northeast China during 1960-2016 and found that the changes in dryness/wetness condition presented significant periodic oscillation on different time scales.
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Effects of persistence and large-scale climate anomalies on trends and change points in extreme precipitation of Canada

TL;DR: In this article, the Mann-Kendall (MK) test was applied to detect changes in annual maximum daily precipitation (AMP) and seasonal SMP (SMP) across Canada for 223 stations in six regions during four periods (1900-2010, 1930 -2010, 1950 -2010 and 1970 -2010) and the Pettitt test was used to evaluate change points.
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Assessing socio-economic drought evolution characteristics and their possible meteorological driving force

TL;DR: The most damaging environmental disasters that may have destructive damages on societal properties and lives are those that occur when water resources are severely depleting as mentioned in this paper, and generally, socioeconomic drought occurs when water resource depletion occurs.
Journal ArticleDOI

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

TL;DR: In this paper, the authors used wavelet coherence analysis to detect significant interannual and interdecadal oscillations in monthly precipitation extremes across India and their teleconnections to three prominent climate indices, namely, Nino 3.4, Pacific Decadal Oscillation, and Indian Ocean Dipole (IOD).
References
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Journal ArticleDOI

Geophysical Applications of Partial Wavelet Coherence and Multiple Wavelet Coherence

TL;DR: In this paper, the application of partial wavelet coherence (PWC) and multiple wavelet Coherence (MWC) to geophysics has been demonstrated, where PWC is a technique similar to partial correlation that helps identify the resulting wavelet coherent (WTC) between two time series after eliminating the influence of their common dependence.
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Changes in North American extremes derived from daily weather data

TL;DR: This paper used homogeneity assessment of daily weather observing station data from Canada, the United States, and Mexico enabled analysis of changes in North American extremes starting in 1950, using a number of indices derived from the daily data, primarily based on the number of days per year that temperature or precipitation observations were above or below percentile thresholds.
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Wavelet analysis of variability in annual Canadian streamflows

TL;DR: In this article, a continuous wavelet transform is applied to mean annual streamflows from 79 rivers selected from the Canadian Reference Hydrometric Basin Network (RHBN) to reveal striking climate-related features before the 1950s and after the 1970s.
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Observed Trends in Canada’s Climate and Influence of Low-Frequency Variability Modes

TL;DR: In this paper, the authors analyzed trends in Canada's climate using recently updated data to provide a comprehensive view of climate variability and long-term changes over the period of instrumental record.
Journal ArticleDOI

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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