Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen)
The goal of this study is to test applicability of the conceptual catchment run-off HBV model to simulate discharge in small non-glaciated Arctic catchment. Within two ablation seasons, 2014 and 2015, in the Fuglebekken catchment (Spitsbergen, Svalbard), selected hydro-meteorological measurements we...
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Cambridge University Press
2017
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Online Access: | https://doi.org/10.1017/aog.2017.8 https://doaj.org/article/8db5126006a84a5f94b303236da34e6d |
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ftdoajarticles:oai:doaj.org/article:8db5126006a84a5f94b303236da34e6d 2023-05-15T13:29:35+02:00 Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) Tomasz Wawrzyniak Marzena Osuch Adam Nawrot Jaroslaw Jan Napiorkowski 2017-07-01T00:00:00Z https://doi.org/10.1017/aog.2017.8 https://doaj.org/article/8db5126006a84a5f94b303236da34e6d EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305517000088/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2017.8 0260-3055 1727-5644 https://doaj.org/article/8db5126006a84a5f94b303236da34e6d Annals of Glaciology, Vol 58, Pp 36-46 (2017) HBV run-off modelling Svalbard temporal aggregation Meteorology. Climatology QC851-999 article 2017 ftdoajarticles https://doi.org/10.1017/aog.2017.8 2023-03-12T01:31:57Z The goal of this study is to test applicability of the conceptual catchment run-off HBV model to simulate discharge in small non-glaciated Arctic catchment. Within two ablation seasons, 2014 and 2015, in the Fuglebekken catchment (Spitsbergen, Svalbard), selected hydro-meteorological measurements were conducted, including discharge measurements in 10 min interval by Nivus PCM-F device with active Doppler sensor. The model parameters were calibrated on discharge measurements from both years separately and verified independently. As the transformation from rainfall to runoff includes a number of processes with different dynamics and timescales, the proper description of the processes and their simulation of discharge depend on the temporal resolution of the data. For that purpose, the relationships between the calibration and validation results, and optimal model parameters with different time steps were analyzed. It was found that calculated fit of simulated to observed discharge, depends on the year, time step and data averaging. The best results were obtained for the model from year 2015 for 3 and 6 h using averaged input data. Article in Journal/Newspaper Annals of Glaciology Arctic Svalbard Spitsbergen Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Annals of Glaciology 58 75pt1 36 46 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
HBV run-off modelling Svalbard temporal aggregation Meteorology. Climatology QC851-999 |
spellingShingle |
HBV run-off modelling Svalbard temporal aggregation Meteorology. Climatology QC851-999 Tomasz Wawrzyniak Marzena Osuch Adam Nawrot Jaroslaw Jan Napiorkowski Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
topic_facet |
HBV run-off modelling Svalbard temporal aggregation Meteorology. Climatology QC851-999 |
description |
The goal of this study is to test applicability of the conceptual catchment run-off HBV model to simulate discharge in small non-glaciated Arctic catchment. Within two ablation seasons, 2014 and 2015, in the Fuglebekken catchment (Spitsbergen, Svalbard), selected hydro-meteorological measurements were conducted, including discharge measurements in 10 min interval by Nivus PCM-F device with active Doppler sensor. The model parameters were calibrated on discharge measurements from both years separately and verified independently. As the transformation from rainfall to runoff includes a number of processes with different dynamics and timescales, the proper description of the processes and their simulation of discharge depend on the temporal resolution of the data. For that purpose, the relationships between the calibration and validation results, and optimal model parameters with different time steps were analyzed. It was found that calculated fit of simulated to observed discharge, depends on the year, time step and data averaging. The best results were obtained for the model from year 2015 for 3 and 6 h using averaged input data. |
format |
Article in Journal/Newspaper |
author |
Tomasz Wawrzyniak Marzena Osuch Adam Nawrot Jaroslaw Jan Napiorkowski |
author_facet |
Tomasz Wawrzyniak Marzena Osuch Adam Nawrot Jaroslaw Jan Napiorkowski |
author_sort |
Tomasz Wawrzyniak |
title |
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
title_short |
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
title_full |
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
title_fullStr |
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
title_full_unstemmed |
Run-off modelling in an Arctic unglaciated catchment (Fuglebekken, Spitsbergen) |
title_sort |
run-off modelling in an arctic unglaciated catchment (fuglebekken, spitsbergen) |
publisher |
Cambridge University Press |
publishDate |
2017 |
url |
https://doi.org/10.1017/aog.2017.8 https://doaj.org/article/8db5126006a84a5f94b303236da34e6d |
geographic |
Arctic Svalbard |
geographic_facet |
Arctic Svalbard |
genre |
Annals of Glaciology Arctic Svalbard Spitsbergen |
genre_facet |
Annals of Glaciology Arctic Svalbard Spitsbergen |
op_source |
Annals of Glaciology, Vol 58, Pp 36-46 (2017) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305517000088/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2017.8 0260-3055 1727-5644 https://doaj.org/article/8db5126006a84a5f94b303236da34e6d |
op_doi |
https://doi.org/10.1017/aog.2017.8 |
container_title |
Annals of Glaciology |
container_volume |
58 |
container_issue |
75pt1 |
container_start_page |
36 |
op_container_end_page |
46 |
_version_ |
1766001355871223808 |