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Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data
Joint Authors
Yang, Yan
Onishi, Takeo
Hiramatsu, Ken
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-03
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Simulation results of the widely used temperature index snowmelt model are greatly influenced by input air temperature data.
Spatially sparse air temperature data remain the main factor inducing uncertainties and errors in that model, which limits its applications.
Thus, to solve this problem, we created new air temperature data using linear regression relationships that can be formulated based on MODIS land surface temperature data.
The Soil Water Assessment Tool model, which includes an improved temperature index snowmelt module, was chosen to test the newly created data.
By evaluating simulation performance for daily snowmelt in three test basins of the Amur River, performance of the newly created data was assessed.
The coefficient of determination ( R 2 ) and Nash-Sutcliffe efficiency (NSE) were used for evaluation.
The results indicate that MODIS land surface temperature data can be used as a new source for air temperature data creation.
This will improve snow simulation using the temperature index model in an area with sparse air temperature observations.
American Psychological Association (APA)
Yang, Yan& Onishi, Takeo& Hiramatsu, Ken. 2014. Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-20.
https://search.emarefa.net/detail/BIM-1051204
Modern Language Association (MLA)
Yang, Yan…[et al.]. Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data. The Scientific World Journal No. 2014 (2014), pp.1-20.
https://search.emarefa.net/detail/BIM-1051204
American Medical Association (AMA)
Yang, Yan& Onishi, Takeo& Hiramatsu, Ken. Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-20.
https://search.emarefa.net/detail/BIM-1051204
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051204