Improving the Performance of Temperature Index Snowmelt Model of SWAT by Using MODIS Land Surface Temperature Data

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 cr...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Yan, Onishi, Takeo, Hiramatsu, Ken
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137622/
https://www.ncbi.nlm.nih.gov/pubmed/25165746
http://dx.doi.org/10.1155/2014/823424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4137622/
https://www.ncbi.nlm.nih.gov/pubmed/25165746
http://dx.doi.org/10.1155/2014/823424

Ejemplares similares