Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System

This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-proc...

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Main Authors: Viger, Roland J., Van Beusekom, Ashley E.
Format: Dataset
Language:unknown
Published: U.S. Geological Survey 2017
Subjects:
Online Access:https://dx.doi.org/10.5066/f75t3hmv
https://www.sciencebase.gov/catalog/item/58111fafe4b0f497e79892f7
id ftdatacite:10.5066/f75t3hmv
record_format openpolar
spelling ftdatacite:10.5066/f75t3hmv 2023-05-15T16:20:29+02:00 Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System Viger, Roland J. Van Beusekom, Ashley E. 2017 https://dx.doi.org/10.5066/f75t3hmv https://www.sciencebase.gov/catalog/item/58111fafe4b0f497e79892f7 unknown U.S. Geological Survey https://dx.doi.org/10.1002/2015jf003789 dataset Dataset 2017 ftdatacite https://doi.org/10.5066/f75t3hmv https://doi.org/10.1002/2015jf003789 2021-11-05T12:55:41Z This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-process hydrological simulation code. The extension does not require extensive on-glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to test model performance over a long period of time covering a wide range of climatic and hydrologic conditions. When error in field measurements is considered, the Nash-Sutcliffe efficiencies of streamflow are 0.87 and 0.86, the absolute bias fractions of the winter mass balance simulations are 0.10 and 0.08, and the absolute bias fractions of the summer mass balances are 0.01 and 0.03, all computed over 42 years for the Wolverine and Gulkana Glacier basins, respectively. Without taking into account measurement error, the values are still within the range achieved by the more computationally expensive codes tested over shorter time periods. Dataset glacier Alaska DataCite Metadata Store (German National Library of Science and Technology) Nash ENVELOPE(-62.350,-62.350,-74.233,-74.233) Sutcliffe ENVELOPE(-81.383,-81.383,50.683,50.683)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-process hydrological simulation code. The extension does not require extensive on-glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to test model performance over a long period of time covering a wide range of climatic and hydrologic conditions. When error in field measurements is considered, the Nash-Sutcliffe efficiencies of streamflow are 0.87 and 0.86, the absolute bias fractions of the winter mass balance simulations are 0.10 and 0.08, and the absolute bias fractions of the summer mass balances are 0.01 and 0.03, all computed over 42 years for the Wolverine and Gulkana Glacier basins, respectively. Without taking into account measurement error, the values are still within the range achieved by the more computationally expensive codes tested over shorter time periods.
format Dataset
author Viger, Roland J.
Van Beusekom, Ashley E.
spellingShingle Viger, Roland J.
Van Beusekom, Ashley E.
Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
author_facet Viger, Roland J.
Van Beusekom, Ashley E.
author_sort Viger, Roland J.
title Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
title_short Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
title_full Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
title_fullStr Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
title_full_unstemmed Supporting data for A Glacier Runoff Extension to the Precipitation Runoff Modeling System
title_sort supporting data for a glacier runoff extension to the precipitation runoff modeling system
publisher U.S. Geological Survey
publishDate 2017
url https://dx.doi.org/10.5066/f75t3hmv
https://www.sciencebase.gov/catalog/item/58111fafe4b0f497e79892f7
long_lat ENVELOPE(-62.350,-62.350,-74.233,-74.233)
ENVELOPE(-81.383,-81.383,50.683,50.683)
geographic Nash
Sutcliffe
geographic_facet Nash
Sutcliffe
genre glacier
Alaska
genre_facet glacier
Alaska
op_relation https://dx.doi.org/10.1002/2015jf003789
op_doi https://doi.org/10.5066/f75t3hmv
https://doi.org/10.1002/2015jf003789
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