On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset

Atmospheric rivers (ARs) are narrow bands of enhanced integrated water vapor transport, modulated by large-scale and synoptic-scale variability. Here, we investigate how ARs and snowpack are shaped by large-scale variability such as arctic oscillation (AO) by examining the synoptic conditions and ch...

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Published in:Water
Main Authors: Samuel Liner, Ju-Mee Ryoo, Sen Chiao
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Online Access:https://doi.org/10.3390/w14152392
https://doaj.org/article/0f51d553c57b43fbab2dd5518c398bf6
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spelling ftdoajarticles:oai:doaj.org/article:0f51d553c57b43fbab2dd5518c398bf6 2024-01-07T09:41:29+01:00 On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset Samuel Liner Ju-Mee Ryoo Sen Chiao 2022-08-01T00:00:00Z https://doi.org/10.3390/w14152392 https://doaj.org/article/0f51d553c57b43fbab2dd5518c398bf6 EN eng MDPI AG https://www.mdpi.com/2073-4441/14/15/2392 https://doaj.org/toc/2073-4441 doi:10.3390/w14152392 2073-4441 https://doaj.org/article/0f51d553c57b43fbab2dd5518c398bf6 Water, Vol 14, Iss 15, p 2392 (2022) atmospheric rivers arctic oscillation integrated water vapor transport snow water equivalent climate variability Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 article 2022 ftdoajarticles https://doi.org/10.3390/w14152392 2023-12-10T01:46:05Z Atmospheric rivers (ARs) are narrow bands of enhanced integrated water vapor transport, modulated by large-scale and synoptic-scale variability. Here, we investigate how ARs and snowpack are shaped by large-scale variability such as arctic oscillation (AO) by examining the synoptic conditions and characteristics of ARs and snowpack in the different phases of AO. Using Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) data, Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) reanalysis data, and in-situ observation data over the eastern Pacific and western United States. we found that more precipitation is observed in lower latitudes (35° N–45° N) during negative AO months and farther north (north of 45° N) in latitude during positive AO months. These are associated with wavelike synoptic patterns in negative AO months and more straight-line type synoptic patterns in positive AO months. The different phases of AO also modulate the AR characteristics: 2.6% less intense (5.3% more intense) integrated water vapor transport and total precipitation, and 16.0% shorter (21.1% longer) duration of ARs than the climatological mean (1980–2019) for positive AO (negative AO) phase. AR frequency is also higher (~50.4%) than the climatological mean for negative AO phase, but there is no statistically significant difference between either negative AO or positive AO phase, especially in southern California. In addition, the snow water equivalent (SWE) tends to be reduced in the positive AO phase and under high-temperature conditions, especially in recent years (2010s). The similar relationships are found in the early 1990s and 2000s, but their statistical significances are low. Considering that lower atmospheric temperature keeps increasing over the eastern Pacific and the western U.S., and SWE tends to be reduced in the positive AO phase in recent years, SWE may decrease over northern California if the warming condition persists. These findings highlight how the ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Pacific Water 14 15 2392
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic atmospheric rivers
arctic oscillation
integrated water vapor transport
snow water equivalent
climate variability
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle atmospheric rivers
arctic oscillation
integrated water vapor transport
snow water equivalent
climate variability
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Samuel Liner
Ju-Mee Ryoo
Sen Chiao
On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
topic_facet atmospheric rivers
arctic oscillation
integrated water vapor transport
snow water equivalent
climate variability
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
description Atmospheric rivers (ARs) are narrow bands of enhanced integrated water vapor transport, modulated by large-scale and synoptic-scale variability. Here, we investigate how ARs and snowpack are shaped by large-scale variability such as arctic oscillation (AO) by examining the synoptic conditions and characteristics of ARs and snowpack in the different phases of AO. Using Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (IMERG) data, Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA2) reanalysis data, and in-situ observation data over the eastern Pacific and western United States. we found that more precipitation is observed in lower latitudes (35° N–45° N) during negative AO months and farther north (north of 45° N) in latitude during positive AO months. These are associated with wavelike synoptic patterns in negative AO months and more straight-line type synoptic patterns in positive AO months. The different phases of AO also modulate the AR characteristics: 2.6% less intense (5.3% more intense) integrated water vapor transport and total precipitation, and 16.0% shorter (21.1% longer) duration of ARs than the climatological mean (1980–2019) for positive AO (negative AO) phase. AR frequency is also higher (~50.4%) than the climatological mean for negative AO phase, but there is no statistically significant difference between either negative AO or positive AO phase, especially in southern California. In addition, the snow water equivalent (SWE) tends to be reduced in the positive AO phase and under high-temperature conditions, especially in recent years (2010s). The similar relationships are found in the early 1990s and 2000s, but their statistical significances are low. Considering that lower atmospheric temperature keeps increasing over the eastern Pacific and the western U.S., and SWE tends to be reduced in the positive AO phase in recent years, SWE may decrease over northern California if the warming condition persists. These findings highlight how the ...
format Article in Journal/Newspaper
author Samuel Liner
Ju-Mee Ryoo
Sen Chiao
author_facet Samuel Liner
Ju-Mee Ryoo
Sen Chiao
author_sort Samuel Liner
title On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
title_short On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
title_full On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
title_fullStr On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
title_full_unstemmed On the Relationship of Arctic Oscillation with Atmospheric Rivers and Snowpack in the Western United States Using Long-Term Multi-Platform Dataset
title_sort on the relationship of arctic oscillation with atmospheric rivers and snowpack in the western united states using long-term multi-platform dataset
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/w14152392
https://doaj.org/article/0f51d553c57b43fbab2dd5518c398bf6
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
genre_facet Arctic
op_source Water, Vol 14, Iss 15, p 2392 (2022)
op_relation https://www.mdpi.com/2073-4441/14/15/2392
https://doaj.org/toc/2073-4441
doi:10.3390/w14152392
2073-4441
https://doaj.org/article/0f51d553c57b43fbab2dd5518c398bf6
op_doi https://doi.org/10.3390/w14152392
container_title Water
container_volume 14
container_issue 15
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