2023Journal of Geophysical Research AtmospheresOpen access

Leading Modes of Wintertime North Pacific Atmospheric Rivers and Their Drivers

Guangzhi Xu, Lin Wang, Shuyu Wang

Open full text 5 citations

Abstract

Abstract North Pacific Atmospheric Rivers (ARs) are affected by many climate modes, including the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO). However, such impacts are often examined individually and outside of the context of ARs' own variability. It remains an open question as to the relative importance of each climate mode in affecting the inter‐annual variability of AR occurrences. This work proposes an answer to the above inquiry, via a rotated Empirical Orthogonal Function (EOF) analysis on wintertime AR occurrences. Four major modes of AR occurrence variability are identified: The first mode features a southeast‐northwest shift of the AR tracks, and is associated with the pair of the second leading EOFs of the North Pacific atmospheric circulation and sea surface temperature (SST). The second mode features a large scale suppression of North Pacific ARs and an enhancement west of the California coasts. This is a decadal variability associated with PDO. The third mode features meridionally contracted AR tracks over the Eastern Pacific. This is associated with the leading EOFs of the North Pacific atmosphere/SST, and the inter‐annual component of PDO. These three modes each contributes ∼19% to the total variances. The fourth mode, with a 12.7% variance contribution, carries the complementary information of the non‐linear El Niño ‐ La Niña transition, and features two slanted anomaly bands over boundaries of the basin. Key atmospheric/oceanic driving forces associated with each mode are examined, and certain climate modes exhibit promising predictive power to wintertime AR occurrences.

About this research paper

What this paper is about

Abstract North Pacific Atmospheric Rivers (ARs) are affected by many climate modes, including the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO). However, such impacts are often examined individually and outside of the context of ARs' own variability. It remains an open question as to the relative importance of each climate mode in affecting the inter‐annual variability of AR occurrences. This work proposes an answer to the above inquiry, via a rotated Empirical Orthogonal Function (EOF) analysis on wintertime AR occurrences. Four major modes of AR occurrence variability are identified: The first mode features a southeast‐northwest shift of the AR tracks, and is associated with the pair of the second leading EOFs of the North Pacific atmospheric circulation and sea surface temperature (SST). The second mode features a large scale suppression of North Pacific ARs and an enhancement west of the California coasts. This is a decadal variability associated with PDO. The third mode features meridionally contracted AR tracks over the Eastern Pacific. This is associated with the leading EOFs of the North Pacific atmosphere/SST, and the inter‐annual component of PDO. These three modes each contributes ∼19% to the total variances. The fourth mode, with a 12.7% variance contribution, carries the complementary information of the non‐linear El Niño ‐ La Niña transition, and features two slanted anomaly bands over boundaries of the basin. Key atmospheric/oceanic driving forces associated with each mode are examined, and certain climate modes exhibit promising predictive power to wintertime AR occurrences.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract North Pacific Atmospheric Rivers (ARs) are affected by many climate modes, including the El Niño Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO). However, such impacts are often examined individually and outside of the context of ARs' own variability. It remains an open question as to the relative importance of each climate mode in affecting the inter‐annual variability of AR occurrences. This work proposes an answer to the above inquiry, via a rotated Empirical Orthogonal Function (EOF) analysis on wintertime AR occurrences. Four major modes of AR occurrence variability are identified: The first mode features a southeast‐northwest shift of the AR tracks, and is associated with the pair of the second leading EOFs of the North Pacific atmospheric circulation and sea surface temperature (SST). The second mode features a large scale suppression of North Pacific ARs and an enhancement west of the California coasts. This is a decadal variability associated with PDO. The third mode features meridionally contracted AR tracks over the Eastern Pacific. This is associated with the leading EOFs of the North Pacific atmosphere/SST, and the inter‐annual component of PDO. These three modes each contributes ∼19% to the total variances. The fourth mode, with a 12.7% variance contribution, carries the complementary information of the non‐linear El Niño ‐ La Niña transition, and features two slanted anomaly bands over boundaries of the basin. Key atmospheric/oceanic driving forces associated with each mode are examined, and certain climate modes exhibit promising predictive power to wintertime AR occurrences.

Key concepts: Empirical orthogonal functions, Pacific decadal oscillation, Climatology, Anomaly (physics), Context (archaeology), Mode (computer interface), Sea surface temperature, Environmental science

Related papers

Back to paper searchBrowse research topicsOriginal source
Leading Modes of Wintertime North Pacific Atmospheric Rivers and Their Drivers — Research Paper | ScholarLens