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

Tan, Xiaoheng; Gan, Thian Yew; Shao, Dongguo

doi:10.1002/2016jd025533

Cited by 71 publications

(38 citation statements)

References 60 publications

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“…Wavelet transform has been widely used in different research works worldwide to analyze time series of ENSO [79], to identify and describe the variability in annual streamflows [4], and interannual, decadal, and multidecadal climate oscillations of annual discharge [80]. This method was also used to understand mechanisms driving streamflow variability at all timescales [81], and to analyze precipitation extremes and their teleconnections with large-scale climate anomalies [82], among others.…”

Section: Wavelet Transformmentioning

confidence: 99%

Streamflow Variability in Colombian Pacific Basins and Their Teleconnections with Climate Indices

Canchala

Cerón

Francés

et al. 2020

Water

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Oceanic-atmospheric phenomena of different time scales concurrently might affect the streamflow in several basins around the world. The Atrato River Basin (ARB) and Patía River Basin (PRB) of the Colombian Pacific region are examples of such basins. Nevertheless, the relations between the streamflows in the ARB and PRB and the oceanic-atmospheric factors have not been examined considering different temporal scales. Hence, this article studies the relations of the climate indices and the variability of the streamflows in the ARB and PRB at interannual and decadal timescales. To this, the streamflow variability modes were obtained from the principal component analysis (PCA); furthermore, their linear dependence with indices of the El Niño/Southern Oscillation (ENSO), precipitation (PRP), the Choco low-level jet (CJ), and other indices were quantified through (a) Pearson and Kendall’s tau correlations, and (b) wavelet transform. The PCA presented a single significant mode for each basin, with an explained variance of around 80%. The correlation analyses between the PC1s of the ARB and PRB, and the climate indices showed significant positive (negative) high correlations with PRP, CJ, and Southern Oscillation Index (SOI) (ENSO indices). The wavelet coherence analysis showed significant coherencies between ENSO and ARB: at interannual (2–7 years) and decadal scale (8–14), preferably with the sea surface temperature (SST) in the east and west Tropical Pacific Ocean (TPO). For PRB with the SST in the central and western regions of the TPO in the interannual (4–8 years) and decadal (8–14 years) scales, the decreases (increases) in streamflow precede the El Niño (La Niña) events. These results indicate multiscale relations between the basins’ streamflow and climate phenomena not documented in previous works, relevant to forecast the extreme flow events in the Colombian Pacific rivers and for planning and implementing strategies for the sustainable use of water resources in the basins studied.

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Section: Wavelet Transformmentioning

confidence: 99%

Streamflow Variability in Colombian Pacific Basins and Their Teleconnections with Climate Indices

Canchala

Cerón

Francés

et al. 2020

Water

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“…Wavelet analysis was widely applied to examine multi-temporal scale features of precipitation extremes or other climate events [59][60][61][62][63][64][65]. Wavelet transform (WT) decomposes time series into time-frequency space and identifies the dominant modes of variability and the characteristics how these modes vary in time [66]. Continuous wavelet transform (CWT) is appropriate for extracting a wide range of possible dominant frequencies from geophysical and hydroclimate time series [67,68].…”

Section: Wavelet Analysismentioning

confidence: 99%

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

et al. 2019

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In this study, based on daily precipitation records during 1958–2017 from 28 meteorological stations in the Beijing-Tianjin-Hebei (BTH) region, the spatio-temporal variations in precipitation extremes defined by twelve indices are analyzed by the methods of linear regression, Mann-Kendall test and continuous wavelet transform. The results showed that 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. Regionally averaged precipitation extremes were characterized by decreasing trends, of which five indices (i.e., very heavy precipitation days (R50), very wet precipitation (R95p), extreme wet precipitation (R99p), max one-day precipitation (R × 1day), and max five-day precipitation (R × 5day)) exhibited significantly decreasing trends at 5% level. From monthly and seasonal scale, almost all of the highest values in R × 1day and R × 5day occurred in summer, especially in July and August due to the impacts of East Asian monsoon climate on inter-annual uneven distribution of precipitation. The significant decreasing trends in annual R×1day and R×5day were mainly caused by the significant descend in summer. Besides, the possible associations between precipitation extremes and large-scale climate anomalies (e.g., ENSO (El Niño Southern Oscillation), NAO (North Atlantic Oscillation), IOD (Indian Ocean Dipole), and PDO (Pacific Decadal Oscillation)) were also investigated using the correlation analysis. The results showed that the precipitation extremes were significantly influenced by ENSO with one-year ahead, and the converse correlations between the precipitation extremes and climate indices with one-year ahead and 0-year ahead were observed. Moreover, all the indices show significant two- to four-year periodic oscillation during the entire period of 1958–2017, and most of indices show significant four- to eight-year periodic oscillation during certain periods. The influences of climate anomalies on precipitation extremes were composed by different periodic components, with most of higher correlations occurring in low-frequency components.

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“…The study further reported that the influence of ENSO on precipitation was stronger compared to other climatic modes considered in this particular study. Coherently, Tan et al (2016) analysed the relations between Canadian precipitation and different global climate indices. Similar studies using wavelet coherence also reported in other parts of the world (Agarwal et al, 2016;Araghi et al, 2017;Hu and Si, 2016;Tan et al, 2016), though all such studies based on wavelet coherence were illuminating and contributed significantly to our existing knowledge of the climate.…”

Section: Introductionmentioning

confidence: 99%

“…Coherently, Tan et al (2016) analysed the relations between Canadian precipitation and different global climate indices. Similar studies using wavelet coherence also reported in other parts of the world (Agarwal et al, 2016;Araghi et al, 2017;Hu and Si, 2016;Tan et al, 2016), though all such studies based on wavelet coherence were illuminating and contributed significantly to our existing knowledge of the climate. However, there remains a large scope for advancement, in particular in capturing the non-linear scalespecific interactions between climate patterns and Indian precipitation.…”

Section: Introductionmentioning

confidence: 99%

Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

Kurths

Agarwal

Shukla

et al. 2019

Nonlin. Processes Geophys.

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Abstract. A better understanding of precipitation dynamics in the Indian subcontinent is required since India's society depends heavily on reliable monsoon forecasts. We introduce a non-linear, multiscale approach, based on wavelets and event synchronization, for unravelling teleconnection influences on precipitation. We consider those climate patterns with the highest relevance for Indian precipitation. Our results suggest significant influences which are not well captured by only the wavelet coherence analysis, the state-of-the-art method in understanding linkages at multiple timescales. We find substantial variation across India and across timescales. In particular, El Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD) mainly influence precipitation in the south-east at interannual and decadal scales, respectively, whereas the North Atlantic Oscillation (NAO) has a strong connection to precipitation, particularly in the northern regions. The effect of the Pacific Decadal Oscillation (PDO) stretches across the whole country, whereas the Atlantic Multidecadal Oscillation (AMO) influences precipitation particularly in the central arid and semi-arid regions. The proposed method provides a powerful approach for capturing the dynamics of precipitation and, hence, helps improve precipitation forecasting.

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

Cited by 71 publications

References 60 publications

Streamflow Variability in Colombian Pacific Basins and Their Teleconnections with Climate Indices

Streamflow Variability in Colombian Pacific Basins and Their Teleconnections with Climate Indices

Multiscale Spatio-Temporal Changes of Precipitation Extremes in Beijing-Tianjin-Hebei Region, China during 1958–2017

Unravelling the spatial diversity of Indian precipitation teleconnections via a non-linear multi-scale approach

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