Impacts of Temperature Data Sets on Macroscale Snowmelt Simulations in the Missouri River Basin.

Autor: Tahmasebi Nasab, Mohsen, Chu, Xuefeng
Předmět:
Zdroj: Journal of Cold Regions Engineering; Jun2023, Vol. 37 Issue 2, p1-13, 13p
Abstrakt: The objective of this study is to evaluate the impacts of two commonly used temperature databases, Parameter-elevation Relationships on Independent Slopes Model (PRISM) and Topography Weather (TopoWx), on the quantity and distribution of snowmelt in the Missouri River Basin simulated by a new macroscale grid-based model for two representative flood and drought years. The model incorporates a unique LEGO-fashion framework to account for within-grid heterogeneity. The snowmelt simulations were compared with the SNOw Data Assimilation System (SNODAS) estimates, indicating that both data sets provided comparable snowmelt with the SNODAS data (R2 > 0.91). Comparison of the modeling results revealed that both data sets provided comparable magnitude and distribution of the average monthly snowmelt. However, the average daily snowmelt varied up to 16.9% and the snowmelt variations were more pronounced in the areas with complex topography. The simulations suggested that even nuances in the snowmelt coverage led to significant changes in the simulated snowmelt quantity. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index