Effect of ENSO modulation by decadal and multi-decadal climatic oscillations on contiguous United States streamflows

Singh, Sarmistha; Abebe, Asheber; Srivastava, Puneet; Chaubey, Indrajeet

doi:10.1016/j.ejrh.2021.100876

Cited by 6 publications

(3 citation statements)

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“…Cash and Burls (2019) found that ensemble means often show the SWUS hydroclimate is over-modulated by ENSO and that the hydroclimate is dominated by internal variability. Furthermore, other modes of variability and external forcing can act as a modulating force on ENSO teleconnections, such as the Pacific Decadal Oscillation (Gershunov & Barnett, 1998;Singh et al, 2021), the Atlantic Multidecadal Oscillation (Enfield et al, 2001;McCabe et al, 2004), and the North Atlantic Oscillation (Rajagopalan et al, 2000), all of which can reduce or enhance ENSO's teleconnections to the SWUS. Similarly, Li et al (2019) and Larson et al (2022) both found that the Pacific-North American pattern has significant variability not associated with ENSO, indicating another mode of internal atmospheric variability that can act as a modulating force on ENSOs teleconnections.…”

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confidence: 99%

Intrinsic Century‐Scale Variability in Tropical Pacific Sea Surface Temperatures and Their Influence on Western US Hydroclimate

Evans

Coats

Carrillo

et al. 2022

Geophysical Research Letters

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Much of the southwestern United States has been in some form of drought for at least the last two decades (NADM, 2022), and water supplies continue to decline in the region (Williams et al., 2022). The El Niño/Southern Oscillation (ENSO) is the primary driver of interannual hydroclimate variability in the southwest United States (SWUS, 32-40°N, 120-105°W, Figure 1b), wherein El Niño (La Niña) brings anomalously high (low) amounts of rain to the region (Cook et al., 2018;Redmond & Koch, 1991). Despite the importance of the ENSO teleconnection to the SWUS hydroclimate, we lack a clear picture of its stability.ENSO is the dominant source of interannual variability in the tropical Pacific Ocean with observable teleconnections to many other parts of the globe (Hoerling et al., 1997). Despite the abundance of research into this phenomenon and its teleconnections (e.g., Alexander, et al., 2002;Cai et al., 2020;Deser et al., 2017;Gupta & Jain, 2021), there are important aspects of ENSO that remain unknown, like its role in a changing climate (Yang et al., 2018). For instance, Yeh et al. ( 2018) examined general circulation models (GCMs) from both the Coupled Model Intercomparison Project Phase 3 and 5 (CMIP3 and CMIP5) and found that they do not yield a consistent picture of how ENSO and its teleconnections will change during the 21st century. While some studies have found consistent changes for a subset of these GCMs and the most extreme of ENSO events (Cai et al., 2018), others

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Section: Supporting Informationmentioning

confidence: 99%

Intrinsic Century‐Scale Variability in Tropical Pacific Sea Surface Temperatures and Their Influence on Western US Hydroclimate

Evans

Coats

Carrillo

et al. 2022

Geophysical Research Letters

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“…Thermal interactions and humidity exchanges between the oceans' surfaces and the atmosphere lead to the formation of large‐scale ocean‐atmospheric phenomena called climatic oscillations (Mak, 2011; Saha, 2008). These cyclic climatic patterns are developed at different locations with different periodicities and are often associated with meteorological and hydrological processes, especially their extremes such as floods and droughts across the world (Cunha et al, 2019; Fagherazzi et al, 2005; Martinez et al, 2009; Lehodey et al, 2006; Poveda et al, 2011; Scaife et al, 2008; Singh et al, 2015, 2021; Tan et al, 2016; Ward et al, 2014; Whitfield et al, 2010; Xoplaki et al, 2004). Among the various climate variability modes, El Niño–Southern Oscillation (ENSO) is the most studied large‐scale climatic phenomenon that is being proven to have significant impacts on the climatic conditions around the world (Chang et al, 2001; Chen et al, 2018; McPhaden et al, 2006; Rodríguez‐Fonseca et al, 2016; Park et al, 2020; Sarachik & Cane, 2010; Singh et al, 2015; Tamaddun et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…associated with meteorological and hydrological processes, especially their extremes such as floods and droughts across the world (Cunha et al, 2019;Fagherazzi et al, 2005;Martinez et al, 2009;Lehodey et al, 2006;Poveda et al, 2011;Scaife et al, 2008;Singh et al, 2015Singh et al, , 2021Tan et al, 2016;Ward et al, 2014;Whitfield et al, 2010;Xoplaki et al, 2004). Among the various climate variability modes, El Niño-Southern Oscillation (ENSO) is the most studied large-scale climatic phenomenon that is being proven to have significant impacts on the climatic conditions around the world (Chang et al, 2001;Chen et al, 2018;McPhaden et al, 2006;Rodríguez-Fonseca et al, 2016;Park et al, 2020;Sarachik & Cane, 2010;Singh et al, 2015;Tamaddun et al, 2019).…”

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confidence: 99%

Multiscale association between large‐scale climate variability modes and drought in India via wavelet analysis

Sidhan,

Singh

2024

Intl Journal of Climatology

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Extreme events, such as droughts, are influenced by climate variability modes such as El Niño–Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Atlantic Multi‐decadal oscillation (AMO) and Equatorial Indian Ocean Oscillation (EQUINOO). Due to the significant interdependency among the climatic indices at various frequencies, a time‐frequency framework is necessary to better understand the teleconnection. The present study evaluates the association between climate variability modes and drought index in India using different variants of wavelet analysis such as wavelet coherence analysis (WCA), partial wavelet coherence analysis (PWCA), multiple wavelet coherence analysis (MWCA) and wavelet reconstruction methods. In this study, four major climatic indices (ENSO, PDO, AMO, EQUINOO) and the drought index, standard precipitation index (SPI), at four different monthly time periods (1, 3, 6 and 12) are considered. The results from the WCA analysis highlight significant teleconnection spectra for ENSO, PDO and EQUINOO at 2–8, 8–16 and 16–32 year time‐frequency bands. Further, PWCA results reveal significant interdependency in the teleconnection of ENSO and PDO at all the scales, while ENSO and EQUINOO are found to be independent modes of interannual drought variability in India. Finally, MWCA results show that the combination of EQUINOO and ENSO better explains the interannual variability of droughts in Northwest and Central northeast India. The results of this study will help improve drought prediction and early warning systems in India, by selection of appropriate climatic oscillations for different regions in India.

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Water Quality and Dynamic Time Series Based on Meteorological Variables at the Muisne Station Located in the Bunche Enclosure, Esmeraldas, Ecuador

Carrera-Villacrés

Chicaiza

Choloquinga

et al. 2023

Communications in Computer and Information Science

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Effect of ENSO modulation by decadal and multi-decadal climatic oscillations on contiguous United States streamflows

Cited by 6 publications

References 40 publications

Intrinsic Century‐Scale Variability in Tropical Pacific Sea Surface Temperatures and Their Influence on Western US Hydroclimate

Intrinsic Century‐Scale Variability in Tropical Pacific Sea Surface Temperatures and Their Influence on Western US Hydroclimate

Multiscale association between large‐scale climate variability modes and drought in India via wavelet analysis

Water Quality and Dynamic Time Series Based on Meteorological Variables at the Muisne Station Located in the Bunche Enclosure, Esmeraldas, Ecuador

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