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Title: A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States

Abstract

Abstract Snowpack accumulation/ablation affects the runoff response to precipitation by modulating the water flux reaching the surface. Previous studies mostly focused on “rain‐on‐snow” events. Here we propose a framework to extend the scope and classify precipitation events accompanied by snow accumulation/ablation (precipitation‐and‐snow, or PAS, events) into five regimes. This framework is applied to a regional climate simulation over the western United States for 1981–2015 to reveal regions where daily changes in snowpack alter the surface hydrologic responses to precipitation. Over the western United States, PAS events account for 50–90% of all the precipitation events. Compared to the broad spatial distribution of snow accumulation‐type PAS events, snowmelting‐type PAS events are limited to coastal high‐elevation areas. Atmospheric rivers, a key driver of heavy precipitation in the region, account for only 2% of the PAS events, but they trigger significant snowmelt, accounting for 20% and 11% of light and heavy snowmelting events, respectively.

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [3]
  1. Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA
  2. Energy and Environment Directorate Pacific Northwest National Laboratory Richland WA USA, Department of Civil and Environmental Engineering University of Washington Seattle WA USA
  3. Energy and Environment Directorate Pacific Northwest National Laboratory Richland WA USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1576065
Grant/Contract Number:  
KP1703030; KP1703010; DE‐AC06‐76RLO‐1830
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Name: Geophysical Research Letters Journal Volume: 46 Journal Issue: 22; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Chen, Xiaodong, Duan, Zhuoran, Leung, L. Ruby, and Wigmosta, Mark. A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States. United States: N. p., 2019. Web. doi:10.1029/2019GL085184.
Chen, Xiaodong, Duan, Zhuoran, Leung, L. Ruby, & Wigmosta, Mark. A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States. United States. https://doi.org/10.1029/2019GL085184
Chen, Xiaodong, Duan, Zhuoran, Leung, L. Ruby, and Wigmosta, Mark. Thu . "A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States". United States. https://doi.org/10.1029/2019GL085184.
@article{osti_1576065,
title = {A Framework to Delineate Precipitation‐Runoff Regimes: Precipitation Versus Snowpack in the Western United States},
author = {Chen, Xiaodong and Duan, Zhuoran and Leung, L. Ruby and Wigmosta, Mark},
abstractNote = {Abstract Snowpack accumulation/ablation affects the runoff response to precipitation by modulating the water flux reaching the surface. Previous studies mostly focused on “rain‐on‐snow” events. Here we propose a framework to extend the scope and classify precipitation events accompanied by snow accumulation/ablation (precipitation‐and‐snow, or PAS, events) into five regimes. This framework is applied to a regional climate simulation over the western United States for 1981–2015 to reveal regions where daily changes in snowpack alter the surface hydrologic responses to precipitation. Over the western United States, PAS events account for 50–90% of all the precipitation events. Compared to the broad spatial distribution of snow accumulation‐type PAS events, snowmelting‐type PAS events are limited to coastal high‐elevation areas. Atmospheric rivers, a key driver of heavy precipitation in the region, account for only 2% of the PAS events, but they trigger significant snowmelt, accounting for 20% and 11% of light and heavy snowmelting events, respectively.},
doi = {10.1029/2019GL085184},
journal = {Geophysical Research Letters},
number = 22,
volume = 46,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1029/2019GL085184

Citation Metrics:
Cited by: 5 works
Citation information provided by
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