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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fttudelft:oai:tudelft.nl:uuid:73dbf376-4359-47b6-82fa-20fc689d5546 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. (author) Werner, Micha (author) Weerts, Albrecht (author) Solomatine, D.P. (author) 2018-09-07 http://resolver.tudelft.nl/uuid:73dbf376-4359-47b6-82fa-20fc689d5546 https://doi.org/10.5194/hess-22-4685-2018 en eng http://www.scopus.com/inward/record.url?scp=85053342121&partnerID=8YFLogxK http://resolver.tudelft.nl/uuid:73dbf376-4359-47b6-82fa-20fc689d5546 Hydrology and Earth System Sciences--1027-5606--3605e48d-d49a-40af-80bf-610aa3591cf0 https://doi.org/10.5194/hess-22-4685-2018 © 2018 David R. Casson, Micha Werner, Albrecht Weerts, D.P. Solomatine journal article 2018 fttudelft https://doi.org/10.5194/hess-22-4685-2018 2024-04-09T23:46:37Z 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 Delft University of Technology: Institutional Repository Hydrology and Earth System Sciences 22 9 4685 4697 |
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Open Polar |
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Delft University of Technology: Institutional Repository |
op_collection_id |
fttudelft |
language |
English |
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. (author) Werner, Micha (author) Weerts, Albrecht (author) Solomatine, D.P. (author) |
spellingShingle |
Casson, David R. (author) Werner, Micha (author) Weerts, Albrecht (author) Solomatine, D.P. (author) Global re-analysis datasets to improve hydrological assessment and snow water equivalent estimation in a sub-Arctic watershed |
author_facet |
Casson, David R. (author) Werner, Micha (author) Weerts, Albrecht (author) Solomatine, D.P. (author) |
author_sort |
Casson, David R. (author) |
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 |
http://resolver.tudelft.nl/uuid:73dbf376-4359-47b6-82fa-20fc689d5546 https://doi.org/10.5194/hess-22-4685-2018 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.scopus.com/inward/record.url?scp=85053342121&partnerID=8YFLogxK http://resolver.tudelft.nl/uuid:73dbf376-4359-47b6-82fa-20fc689d5546 Hydrology and Earth System Sciences--1027-5606--3605e48d-d49a-40af-80bf-610aa3591cf0 https://doi.org/10.5194/hess-22-4685-2018 |
op_rights |
© 2018 David R. Casson, Micha Werner, Albrecht Weerts, D.P. Solomatine |
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 |
op_container_end_page |
4697 |
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1797577091891331072 |