2017
DOI: 10.1007/s00382-017-3598-9
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Changes in atmospheric rivers and moisture transport over the Northeast Pacific and western North America in response to ENSO diversity

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Cited by 66 publications
(86 citation statements)
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References 34 publications
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“…The AR frequency is conventionally defined as the grid‐point accumulated number of such AR objects over a certain period. Variability and predictability of AR frequency from subseasonal to seasonal time scales have been widely studied (Baggett et al, ; DeFlorio, Waliser, Guan, Lavers et al, ; DeFlorio, Waliser, Guan, Ralph et al, ; Guan & Waliser, ; Kim et al, ; Mundhenk, Barnes, Maloney, ; Mundhenk, Barnes, Maloney, Nardi, ; Mundhenk et al, ; Payne & Magnusdottir, ; Zhou & Kim, ). Alternatively, numerous studies investigate the temporal transportation of moisture related to ARs via the Lagrangian trajectory model.…”
Section: Introductionmentioning
confidence: 99%
“…The AR frequency is conventionally defined as the grid‐point accumulated number of such AR objects over a certain period. Variability and predictability of AR frequency from subseasonal to seasonal time scales have been widely studied (Baggett et al, ; DeFlorio, Waliser, Guan, Lavers et al, ; DeFlorio, Waliser, Guan, Ralph et al, ; Guan & Waliser, ; Kim et al, ; Mundhenk, Barnes, Maloney, ; Mundhenk, Barnes, Maloney, Nardi, ; Mundhenk et al, ; Payne & Magnusdottir, ; Zhou & Kim, ). Alternatively, numerous studies investigate the temporal transportation of moisture related to ARs via the Lagrangian trajectory model.…”
Section: Introductionmentioning
confidence: 99%
“…Upper-level circulation observed during AR landfalls in Northern California (Neiman et (Neiman et al, 2008) feature a prominent high-low couplet with a gradient parallel to the coast, which acts to channel wind and moisture onshore. Recent work highlighted links between regional AR activity and circulation features associated with common teleconnection patterns such as the Pacific North American Pattern (PNA; Guan & Waliser, 2015), Arctic Oscillation (Guan et al, 2013), El Niño Southern Oscillation (ENSO; Ryoo et al, 2013;Kim & Alexander, 2015;Kim et al, 2017), Pacific Decadal Oscillation (PDO; GSR'17), Madden-Julian Oscillation (MJO; Guan & Waliser, 2015), and the MJO jointly with the quasi-biennial oscillation (Baggett et al, 2017;Mundhenk et al, 2018). Recent work highlighted links between regional AR activity and circulation features associated with common teleconnection patterns such as the Pacific North American Pattern (PNA; Guan & Waliser, 2015), Arctic Oscillation (Guan et al, 2013), El Niño Southern Oscillation (ENSO; Ryoo et al, 2013;Kim & Alexander, 2015;Kim et al, 2017), Pacific Decadal Oscillation (PDO; GSR'17), Madden-Julian Oscillation (MJO; Guan & Waliser, 2015), and the MJO jointly with the quasi-biennial oscillation (Baggett et al, 2017;Mundhenk et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The model could potentially improve extreme precipitation prediction using predictors of enhanced moisture transport and evolution of circulation patterns in favor of moisture convergence prior to the occurrence of extremes. The evolutions of the anomalous circulation patterns and the moisture fluxes for the Yangtze top 5% extreme precipitation period, from 7 days ahead up to the extreme precipitation days (Figure 8), shows that there is a strong low-pressure system sitting over the Yangtze river basin [25][26][27][28][29][30][31][32][33][34] • N, 100 • E-122 • E], forming 6 days ahead with a high-pressure system sitting to its north. There is also a strong low-pressure system formed in the North Pacific Ocean, almost at the same time with the one over the Yangtze river basin.…”
Section: The Role Of Atmospheric Circulation In Extremesmentioning
confidence: 99%