Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed
Hydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Glob...
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ftunivwagenin:oai:library.wur.nl:wurpubs/541023 2024-04-28T08:08:12+00:00 Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed Casson, David R. Werner, Micha Weerts, Albrecht Solomatine, Dimitri 2018 application/pdf https://research.wur.nl/en/publications/global-re-analysis-datasets-to-improve-hydrological-assessment-an https://doi.org/10.5194/hess-22-4685-2018 en eng https://edepot.wur.nl/459344 https://research.wur.nl/en/publications/global-re-analysis-datasets-to-improve-hydrological-assessment-an doi:10.5194/hess-22-4685-2018 https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research Hydrology and Earth System Sciences 22 (2018) 9 ISSN: 1027-5606 Life Science Article/Letter to editor 2018 ftunivwagenin https://doi.org/10.5194/hess-22-4685-2018 2024-04-03T15:17:23Z Hydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Global re-analysis datasets that provide gridded meteorological and SWE data may be well suited to improve hydrological assessment and snowpack simulation. To investigate representation of hydrological processes and SWE for application in hydropower operations, global re-analysis datasets covering 1979–2014 from the European Union FP7 eartH2Observe project are applied to global and local conceptual hydrological models. The recently developed Multi-Source Weighted-Ensemble Precipitation (MSWEP) and the WATCH Forcing Data applied to ERA-Interim data (WFDEI) are used to simulate snowpack accumulation, spring snowmelt volume and annual streamflow. The GlobSnow-2 SWE product funded by the European Space Agency with daily coverage from 1979 to 2014 is evaluated against in situ SWE measurement over the local watershed. Results demonstrate the successful application of global datasets for streamflow prediction, snowpack accumulation and snowmelt timing in a snowmelt-driven sub-Arctic watershed. The study was unable to demonstrate statistically significant correlations (p < 0.05) among the measured snowpack, global hydrological model and GlobSnow-2 SWE compared to snowmelt runoff volume or peak discharge. The GlobSnow-2 product is found to under-predict late-season snowpacks over the study area and shows a premature decline of SWE prior to the true onset of the snowmelt. Of the datasets tested, the MSWEP precipitation results in annual SWE estimates that are better predictors of snowmelt volume and peak discharge than the WFDEI or GlobSnow-2. This study demonstrates the operational and scientific utility of the global re-analysis datasets in the sub-Arctic, although knowledge gaps remain in global satellite-based datasets for ... Article in Journal/Newspaper Arctic Wageningen UR (University & Research Centre): Digital Library Hydrology and Earth System Sciences 22 9 4685 4697 |
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English |
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Life Science |
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Life Science Casson, David R. Werner, Micha Weerts, Albrecht Solomatine, Dimitri Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
topic_facet |
Life Science |
description |
Hydrological modelling in the Canadian sub-Arctic is hindered by sparse meteorological and snowpack data. The snow water equivalent (SWE) of the winter snowpack is a key predictor and driver of spring flow, but the use of SWE data in hydrological applications is limited due to high uncertainty. Global re-analysis datasets that provide gridded meteorological and SWE data may be well suited to improve hydrological assessment and snowpack simulation. To investigate representation of hydrological processes and SWE for application in hydropower operations, global re-analysis datasets covering 1979–2014 from the European Union FP7 eartH2Observe project are applied to global and local conceptual hydrological models. The recently developed Multi-Source Weighted-Ensemble Precipitation (MSWEP) and the WATCH Forcing Data applied to ERA-Interim data (WFDEI) are used to simulate snowpack accumulation, spring snowmelt volume and annual streamflow. The GlobSnow-2 SWE product funded by the European Space Agency with daily coverage from 1979 to 2014 is evaluated against in situ SWE measurement over the local watershed. Results demonstrate the successful application of global datasets for streamflow prediction, snowpack accumulation and snowmelt timing in a snowmelt-driven sub-Arctic watershed. The study was unable to demonstrate statistically significant correlations (p < 0.05) among the measured snowpack, global hydrological model and GlobSnow-2 SWE compared to snowmelt runoff volume or peak discharge. The GlobSnow-2 product is found to under-predict late-season snowpacks over the study area and shows a premature decline of SWE prior to the true onset of the snowmelt. Of the datasets tested, the MSWEP precipitation results in annual SWE estimates that are better predictors of snowmelt volume and peak discharge than the WFDEI or GlobSnow-2. This study demonstrates the operational and scientific utility of the global re-analysis datasets in the sub-Arctic, although knowledge gaps remain in global satellite-based datasets for ... |
format |
Article in Journal/Newspaper |
author |
Casson, David R. Werner, Micha Weerts, Albrecht Solomatine, Dimitri |
author_facet |
Casson, David R. Werner, Micha Weerts, Albrecht Solomatine, Dimitri |
author_sort |
Casson, David R. |
title |
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
title_short |
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
title_full |
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
title_fullStr |
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
title_full_unstemmed |
Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
title_sort |
global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-arctic watershed |
publishDate |
2018 |
url |
https://research.wur.nl/en/publications/global-re-analysis-datasets-to-improve-hydrological-assessment-an https://doi.org/10.5194/hess-22-4685-2018 |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Hydrology and Earth System Sciences 22 (2018) 9 ISSN: 1027-5606 |
op_relation |
https://edepot.wur.nl/459344 https://research.wur.nl/en/publications/global-re-analysis-datasets-to-improve-hydrological-assessment-an doi:10.5194/hess-22-4685-2018 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
op_doi |
https://doi.org/10.5194/hess-22-4685-2018 |
container_title |
Hydrology and Earth System Sciences |
container_volume |
22 |
container_issue |
9 |
container_start_page |
4685 |
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4697 |
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