Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains

The spatial characteristics and patterns of snow accumulation and ablation inform the amount of water stored and subsequently available for runoff and the timing of snowmelt. This paper characterizes the snow accumulation phase to investigate the spatiotemporal snow water equivalent (SWE) distributi...

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Main Authors: Isaac J. Y. Schrock, Steven R. Fassnacht, Antonio-Juan Collados-Lara, William E. Sanford, Anna K. D. Pfohl, Enrique Morán-Tejeda
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Hydrology
Subjects:
Online Access:https://www.mdpi.com/2306-5338/8/3/124
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spelling doaj-54a8b6dd0b9747d7b766cf7f4d06043e2021-09-26T00:17:01ZengMDPI AGHydrology2306-53382021-08-01812412410.3390/hydrology8030124Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky MountainsIsaac J. Y. Schrock0Steven R. Fassnacht1Antonio-Juan Collados-Lara2William E. Sanford3Anna K. D. Pfohl4Enrique Morán-Tejeda5Civil Engineering, Colorado State University, Fort Collins, CO 80523-1372, USAESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USAESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USAGeosciences, Colorado State University, Fort Collins, CO 80523-1482, USAESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USAESS-Watershed Science, Colorado State University, Fort Collins, CO 80523-1476, USAThe spatial characteristics and patterns of snow accumulation and ablation inform the amount of water stored and subsequently available for runoff and the timing of snowmelt. This paper characterizes the snow accumulation phase to investigate the spatiotemporal snow water equivalent (SWE) distribution by fitting a function to the trajectory plot of the standard deviation versus mean SWE across a domain. Data were used from 90 snow stations for a 34-year period across the Southern Rocky Mountains in the western United States. The stations were divided into sub-sets based on elevation, latitude, and the mean annual maximum SWE. The best function was a linear fit, excluding the first 35 mm of SWE. There was less variability with SWE data compared to snow depth data. The trajectory of the accumulation phase was consistent for most years, with limited correlation to the amount of accumulation. These trajectories are more similar for the northern portion of the domain and for below average snow years. This work could inform where to locate new stations, or be applied to other earth system variables.https://www.mdpi.com/2306-5338/8/3/124standard deviation versus meantrajectory plotsSNOTEL
collection DOAJ
language English
format Article
sources DOAJ
author Isaac J. Y. Schrock
Steven R. Fassnacht
Antonio-Juan Collados-Lara
William E. Sanford
Anna K. D. Pfohl
Enrique Morán-Tejeda
spellingShingle Isaac J. Y. Schrock
Steven R. Fassnacht
Antonio-Juan Collados-Lara
William E. Sanford
Anna K. D. Pfohl
Enrique Morán-Tejeda
Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
Hydrology
standard deviation versus mean
trajectory plots
SNOTEL
author_facet Isaac J. Y. Schrock
Steven R. Fassnacht
Antonio-Juan Collados-Lara
William E. Sanford
Anna K. D. Pfohl
Enrique Morán-Tejeda
author_sort Isaac J. Y. Schrock
title Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
title_short Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
title_full Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
title_fullStr Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
title_full_unstemmed Snow Water Equivalent Accumulation Patterns from a Trajectory Approach over the U.S. Southern Rocky Mountains
title_sort snow water equivalent accumulation patterns from a trajectory approach over the u.s. southern rocky mountains
publisher MDPI AG
series Hydrology
issn 2306-5338
publishDate 2021-08-01
description The spatial characteristics and patterns of snow accumulation and ablation inform the amount of water stored and subsequently available for runoff and the timing of snowmelt. This paper characterizes the snow accumulation phase to investigate the spatiotemporal snow water equivalent (SWE) distribution by fitting a function to the trajectory plot of the standard deviation versus mean SWE across a domain. Data were used from 90 snow stations for a 34-year period across the Southern Rocky Mountains in the western United States. The stations were divided into sub-sets based on elevation, latitude, and the mean annual maximum SWE. The best function was a linear fit, excluding the first 35 mm of SWE. There was less variability with SWE data compared to snow depth data. The trajectory of the accumulation phase was consistent for most years, with limited correlation to the amount of accumulation. These trajectories are more similar for the northern portion of the domain and for below average snow years. This work could inform where to locate new stations, or be applied to other earth system variables.
topic standard deviation versus mean
trajectory plots
SNOTEL
url https://www.mdpi.com/2306-5338/8/3/124
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