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Modifying SWAT with an energy balance module to simulate snowmelt for maritime regions.

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Title: Modifying SWAT with an energy balance module to simulate snowmelt for maritime regions.
Authors: Qi, Junyu1, Li, Sheng1,2, Jamieson, Rob3, Hebb, Dale4, Xing, Zisheng1,2, Meng, Fan-Rui1 fmeng@unb.ca
Source: Environmental Modelling & Software. Jul2017, Vol. 93, p146-160. 15p.
Subject Terms: *Marine west coast climate, *Floods, *Snowmelt, Computer simulation, Bioenergetics
Abstract: Rain-on-snow events are typical in maritime climates, and they can cause serious floods and excessive losses of soils and nutrients. It is assumed that energy balance snowmelt models (EBMs) perform better in simulating these events than temperature index models (TIMs), due to their consideration of physical conditions. In this study, an energy balance snowmelt model was modified and integrated with the Soil and Water Assessment Tool (SWAT) to predict snowmelt for maritime regions. The modified EBM was tested against field measurements and simulations of the currently used TIM in SWAT for eight watersheds across Atlantic Canada. Results indicated that the EBM improved the accuracy of predicting snowmelt compared with the TIM, especially for watersheds with low forest cover, mainly due to improved simulations of rain-on-snow events. In addition, the EBM was able to provide reliable estimates of snow depths important for simulating soil temperatures during winter in Atlantic Canada. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: GreenFILE
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An: 123196205
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Modifying SWAT with an energy balance module to simulate snowmelt for maritime regions.
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  Data: <searchLink fieldCode="AR" term="%22Qi%2C+Junyu%22">Qi, Junyu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Sheng%22">Li, Sheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Jamieson%2C+Rob%22">Jamieson, Rob</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hebb%2C+Dale%22">Hebb, Dale</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Xing%2C+Zisheng%22">Xing, Zisheng</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Meng%2C+Fan-Rui%22">Meng, Fan-Rui</searchLink><relatesTo>1</relatesTo><i> fmeng@unb.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Modelling+%26+Software%22">Environmental Modelling & Software</searchLink>. Jul2017, Vol. 93, p146-160. 15p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Marine+west+coast+climate%22">Marine west coast climate</searchLink><br />*<searchLink fieldCode="DE" term="%22Floods%22">Floods</searchLink><br />*<searchLink fieldCode="DE" term="%22Snowmelt%22">Snowmelt</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Bioenergetics%22">Bioenergetics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Rain-on-snow events are typical in maritime climates, and they can cause serious floods and excessive losses of soils and nutrients. It is assumed that energy balance snowmelt models (EBMs) perform better in simulating these events than temperature index models (TIMs), due to their consideration of physical conditions. In this study, an energy balance snowmelt model was modified and integrated with the Soil and Water Assessment Tool (SWAT) to predict snowmelt for maritime regions. The modified EBM was tested against field measurements and simulations of the currently used TIM in SWAT for eight watersheds across Atlantic Canada. Results indicated that the EBM improved the accuracy of predicting snowmelt compared with the TIM, especially for watersheds with low forest cover, mainly due to improved simulations of rain-on-snow events. In addition, the EBM was able to provide reliable estimates of snow depths important for simulating soil temperatures during winter in Atlantic Canada. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Environmental Modelling & Software is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.envsoft.2017.03.007
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 15
        StartPage: 146
    Subjects:
      – SubjectFull: Marine west coast climate
        Type: general
      – SubjectFull: Floods
        Type: general
      – SubjectFull: Snowmelt
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Bioenergetics
        Type: general
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      – TitleFull: Modifying SWAT with an energy balance module to simulate snowmelt for maritime regions.
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            NameFull: Qi, Junyu
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            NameFull: Li, Sheng
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            NameFull: Jamieson, Rob
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            NameFull: Hebb, Dale
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            NameFull: Xing, Zisheng
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            NameFull: Meng, Fan-Rui
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              Text: Jul2017
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              Y: 2017
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              Value: 93
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            – TitleFull: Environmental Modelling & Software
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