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Future snow? A spatial-probabilistic assessment of the extraordinarily low snowpacks of 2014 and 2015 in the Oregon Cascades
Indexado
WoS WOS:000395087100001
Scopus SCOPUS_ID:85011295034
DOI 10.5194/TC-11-331-2017
Año 2017
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



In the Pacific Northwest, USA, the extraordinarily low snowpacks of winters 2013-2014 and 2014-2015 stressed regional water resources and the social-environmental system. We introduce two new approaches to better understand how seasonal snow water storage during these two winters would compare to snow water storage under warmer climate conditions. The first approach calculates a spatial-probabilistic metric representing the likelihood that the snow water storage of 2013-2014 and 2014-2015 would occur under +2 degrees C perturbed climate conditions. We computed snow water storage (basin-wide and across elevations) and the ratio of snow water equivalent to cumulative precipitation (across elevations) for the McKenzie River basin (3041 km(2)), a major tributary to the Willamette River in Oregon, USA. We applied these computations to calculate the occurrence probability for similarly low snow water storage under climate warming. Results suggest that, relative to +2 degrees C conditions, basin-wide snow water storage during winter 2013-2014 would be above average, while that of winter 2014-2015 would be far below average. Snow water storage on 1 April corresponds to a 42% (2013-2014) and 92% (2014-2015) probability of being met or exceeded in any given year. The second approach introduces the concept of snow analogs to improve the anticipatory capacity of climate change impacts on snow-derived water resources. The use of a spatial-probabilistic approach and snow analogs provide new methods of assessing basin-wide snow water storage in a non-stationary climate and are readily applicable in other snow-dominated watersheds.

Revista



Revista ISSN
Cryosphere 1994-0416

Métricas Externas



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Disciplinas de Investigación



WOS
Geosciences, Multidisciplinary
Geography, Physical
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Sproles, Eric A. Hombre Universidad de la Serena - Chile
Oregon State Univ - Estados Unidos
Oregon State University - Estados Unidos
2 Roth, Travis R. Hombre Oregon State Univ - Estados Unidos
Oregon State University - Estados Unidos
3 Nolin, Anne W. Mujer Oregon State Univ - Estados Unidos
Oregon State University - Estados Unidos

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Financiamiento



Fuente
National Science Foundation
NASA
National Aeronautics and Space Administration

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Agradecimientos



Agradecimiento
This research was funded in part by a NASA award entitled "New Metrics for Snow in a Warming World: Indicators for the National Climate Assessment" (proposal no. 14-INCA14-0089) and two awards from the National Science Foundation (Doctoral Dissertation Improvement, BCS-0903118; Water Sustainability and Climate, EAR-1039192). We gratefully acknowledge the modeling guidance of Glen Liston. The authors would also like to thank the associate editor, Ross Brown, and P. Mote and another anonymous reviewer for their insightful comments that significantly improved the quality of the manuscript.
This research was funded in part by a NASA award entitled "New Metrics for Snow in a Warming World: Indicators for the National Climate Assessment" (proposal no. 14-INCA14-0089) and two awards from the National Science Foundation (Doctoral Dissertation Improvement, BCS-0903118; Water Sustainability and Climate, EAR-1039192). We gratefully acknowledge the modeling guidance of Glen Liston. The authors would also like to thank the associate editor, Ross Brown, and P. Mote and another anonymous reviewer for their insightful comments that significantly improved the quality of the manuscript.

Muestra la fuente de financiamiento declarada en la publicación.