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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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 |
work_keys_str_mv |
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