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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U.S. Geological Survey
2017
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Online Access: | https://dx.doi.org/10.5066/f75t3hmv https://www.sciencebase.gov/catalog/item/58111fafe4b0f497e79892f7 |
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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) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
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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 |
_version_ |
1766008404000636928 |