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Impacts of Dem Uncertainty on Estimated Surface Solar Radiation and Extracted River Network

 

Laigang Wang and Kaicun Wang

 

State Key Laboratory of Earth Surface Process and Resource Ecology, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.

 

ABSTRACT

Digital elevation models (DEMs) have important meteorological, hydrological, and climatological applications. This research studies the uncertainties of six widely accepted global DEM datasets over China and their derivative parameters, including slope and aspect, in calculating the surface-received solar radiation and extracting the river networks. The authors’ results indicate that, although the absolute height values of the six DEM data are nearly identical, substantial and significant differences are introduced when estimating the surface-received solar radiation. The extracted drainage streamflows of the Pearl River basin in South China are close to the actual river networks in general but are quite different in some details that cannot be ignored. Results herein highlight that the uncertainties of DEM themselves as well as their derived parameters must be considered in analogous study.

 

PUBLISHED BY: BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2015, 96: 297–304.

 

SOURCE: http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-13-00285.1