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Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland

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dc.contributor Háskólinn í Reykjavík
dc.contributor Reykjavik University
dc.contributor.author de Niet, Julia
dc.contributor.author Finger, David C.
dc.contributor.author Bring, Arvid
dc.contributor.author Egilson, David
dc.contributor.author Gustafsson, David
dc.contributor.author Kalantari, Zahra
dc.date.accessioned 2021-01-12T14:50:03Z
dc.date.available 2021-01-12T14:50:03Z
dc.date.issued 2020-03-30
dc.identifier.citation de Niet, J., Finger, D. C., Bring, A., Egilson, D., Gustafsson, D., & Kalantari, Z. (2020). Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland. Water, 12(4), 975. https://doi.org/10.3390/w12040975
dc.identifier.issn 2073-4441
dc.identifier.uri https://hdl.handle.net/20.500.11815/2352
dc.description Publisher's version (útgefin grein)
dc.description.abstract The benefits of fractional snow cover area, as an additional dataset for calibration, were evaluated for an Icelandic catchment with a low degree of glaciation and limited data. For this purpose, a Hydrological Projections for the Environment (HYPE) model was calibrated for the Geithellnaá catchment in south-east Iceland using daily discharge (Q) data and satellite-retrieved MODIS snow cover (SC) images, in a multi-dataset calibration (MDC) approach. By comparing model results using only daily discharge data with results obtained using both datasets, the value of SC data for model calibration was identified. Including SC data improved the performance of daily discharge simulations by 7% and fractional snow cover area simulations by 11%, compared with using only the daily discharge dataset (SDC). These results indicate that MDC improves the overall performance of the HYPE model, confirming previous findings. Therefore, MDC could improve discharge simulations in areas with extra sources of uncertainty, such as glaciers and snow cover.Since the change in fractional snow cover area was more accurate when MDC was applied, it can be concluded that MDC would also provide more realistic projections when calibrated parameter sets are extrapolated to different situations.
dc.description.sponsorship This research received no external funding. During the period in which this study was conducted, the authors received funding from their respective institution, namely the Department of Physical Geography (Stockholm University), School of Science and Engineering (Reykjavik University), Sustainability Institute and Forum (Reykjavik University), Bolin Centre for Climate Research (Stockholm University), Icelandic Meteorological Office and the Swedish Meteorological and Hydrological Institute.
dc.format.extent 975
dc.language.iso en
dc.publisher MDPI AG
dc.relation.ispartofseries Water;12(4)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Geography, Planning and Development
dc.subject Aquatic Science
dc.subject Biochemistry
dc.subject Water Science and Technology
dc.subject Glaciated-catchment modeling
dc.subject Conceptual hydrological model
dc.subject Multi-dataset calibration
dc.subject Hydrological predictions for the environment
dc.subject Geithellnaá
dc.subject Iceland
dc.subject Vatnafræði
dc.subject Líkön
dc.subject Lífefnafræði
dc.title Benefits of Combining Satellite-Derived Snow Cover Data and Discharge Data to Calibrate a Glaciated Catchment in Sub-Arctic Iceland
dc.type info:eu-repo/semantics/article
dcterms.license This article is an open accessarticle distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.description.version Peer reviewed
dc.identifier.journal Water
dc.identifier.doi 10.3390/w12040975
dc.relation.url https://www.mdpi.com/2073-4441/12/4/975/pdf
dc.contributor.department Verkfræðideild (HR)
dc.contributor.department Department of Engineering (RU)
dc.contributor.department Rannsóknarsetur um sjálfbæra þróun (SIF) (HR)
dc.contributor.department Sustainability Institute and Forum (SIF) (RU)
dc.contributor.school Tæknisvið (HR)
dc.contributor.school School of Technology (RU)

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