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...
Published in: | Hydrology and Earth System Sciences |
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Copernicus Publications
2018
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fttriple:oai:gotriple.eu:oai:doaj.org/article:a734ce5a68a147fc97a67479f0f13cfe 2023-05-15T14:53:09+02:00 Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed D. R. Casson M. Werner A. Weerts D. Solomatine 2018-09-01 https://doi.org/10.5194/hess-22-4685-2018 https://www.hydrol-earth-syst-sci.net/22/4685/2018/hess-22-4685-2018.pdf https://doaj.org/article/a734ce5a68a147fc97a67479f0f13cfe en eng Copernicus Publications doi:10.5194/hess-22-4685-2018 1027-5606 1607-7938 https://www.hydrol-earth-syst-sci.net/22/4685/2018/hess-22-4685-2018.pdf https://doaj.org/article/a734ce5a68a147fc97a67479f0f13cfe undefined Hydrology and Earth System Sciences, Vol 22, Pp 4685-4697 (2018) envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.5194/hess-22-4685-2018 2023-01-22T19:28:18Z 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 Unknown Arctic Hydrology and Earth System Sciences 22 9 4685 4697 |
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envir geo D. R. Casson M. Werner A. Weerts D. Solomatine Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
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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 |
D. R. Casson M. Werner A. Weerts D. Solomatine |
author_facet |
D. R. Casson M. Werner A. Weerts D. Solomatine |
author_sort |
D. R. Casson |
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 |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/hess-22-4685-2018 https://www.hydrol-earth-syst-sci.net/22/4685/2018/hess-22-4685-2018.pdf https://doaj.org/article/a734ce5a68a147fc97a67479f0f13cfe |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Hydrology and Earth System Sciences, Vol 22, Pp 4685-4697 (2018) |
op_relation |
doi:10.5194/hess-22-4685-2018 1027-5606 1607-7938 https://www.hydrol-earth-syst-sci.net/22/4685/2018/hess-22-4685-2018.pdf https://doaj.org/article/a734ce5a68a147fc97a67479f0f13cfe |
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https://doi.org/10.5194/hess-22-4685-2018 |
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Hydrology and Earth System Sciences |
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22 |
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9 |
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4685 |
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4697 |
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